Infrared image algorithm development and equipment adaptation
Infrared image algorithm development service directory
Retrieve 160 algorithm or workflow services by input, output, and implementation properties. Each detail describes the information that the company needs to provide, agreed delivery, acceptance methods and equipment adaptation boundaries.
160 algorithms and workflows
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C01 · Image linking, correction and enhancement
I001Infrared original frame bit depth, endianness and line step size analysis
View requirements
- Project input
- Manufacturer RAW/SDK Frame
- expected output
- Linear DN matrix and metadata
- Implementation
- Requires project-specific development and validation
- Category
- Image linking, correction and enhancement
I002Temperature matrix, radiation frame and display frame consistency check
View requirements
- Project input
- RAW, temperature flow, AGC flow
- expected output
- Alignment status and mapping relationships
- Implementation
- Requires project-specific development and validation
- Category
- Image linking, correction and enhancement
I003Gain file, range file and integration time identification
View requirements
- Project input
- Frames and telemetry
- expected output
- Gear segments, switching points and invalid frames
- Implementation
- Requires project-specific development and validation
- Category
- Image linking, correction and enhancement
I004Two-point/multi-point non-uniformity correction NUC
View requirements
- Project input
- Black body multi-temperature data
- expected output
- Pixel Gain, Bias and Correction Frames
- Implementation
- Requires project-specific development and validation
- Category
- Image linking, correction and enhancement
I005Scene-based non-uniformity correction SBNUC
View requirements
- Project input
- continuous infrared video
- expected output
- Drift compensated frames and residuals
- Implementation
- Requires project-specific development and validation
- Category
- Image linking, correction and enhancement
I006Dead pixel detection and bad pixel map update
View requirements
- Project input
- Flat field/black body/live frame
- expected output
- Stable bad pixels, transient bad pixels and confidence level
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Image linking, correction and enhancement
I007Bad pixel spatial interpolation and edge preservation repair
View requirements
- Project input
- Frame, bad pixel map
- expected output
- Repair maps and repair masks
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Image linking, correction and enhancement
I008Row and column fixed pattern noise correction
View requirements
- Project input
- RAW sequence
- expected output
- Remove strip plots and row and column bias
- Implementation
- Requires project-specific development and validation
- Category
- Image linking, correction and enhancement
I009Periodic fringe frequency domain suppression
View requirements
- Project input
- IR frame
- expected output
- Deperiodic noise plot
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Image linking, correction and enhancement
I010Dark field bias, thermal dark current and temperature drift compensation
View requirements
- Project input
- Darkfield/Telemetry/Frame
- expected output
- Temperature drift correction results
- Implementation
- Requires project-specific development and validation
- Category
- Image linking, correction and enhancement
I011Lens vignetting and flat field correction
View requirements
- Project input
- uniform radiation field
- expected output
- Flat field coefficients and correction plots
- Implementation
- Need to be evaluated according to project conditions
- Category
- Image linking, correction and enhancement
I012Frame management before and after shutter correction
View requirements
- Project input
- Video, shutter events
- expected output
- Continuous video and invalid frame markers
- Implementation
- Requires project-specific development and validation
- Category
- Image linking, correction and enhancement
I013Time domain recursive noise reduction
View requirements
- Project input
- video
- expected output
- Noise reduction sequences and motion protection masks
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Image linking, correction and enhancement
I014Bilateral/non-local mean infrared noise reduction
View requirements
- Project input
- single frame or video
- expected output
- Edge preserving noise reduction map
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Image linking, correction and enhancement
I015Edge-preserving denoising of small targets with low signal and noise
View requirements
- Project input
- long range infrared sequence
- expected output
- Enhanced graphs and point target candidates
- Implementation
- Requires project-specific development and validation
- Category
- Image linking, correction and enhancement
I016Infrared blind deconvolution and motion deblurring
View requirements
- Project input
- Blurred frames/sequences
- expected output
- Restoration map and quality score
- Implementation
- Requires project-specific development and validation
- Category
- Image linking, correction and enhancement
I017Infrared super-resolution and multi-frame reconstruction
View requirements
- Project input
- low resolution sequence
- expected output
- High-resolution estimation and artifact labeling
- Implementation
- Requires special model and data verification
- Category
- Image linking, correction and enhancement
I018Global AGC and percentile stretching
View requirements
- Project input
- High bit depth frame
- expected output
- 8-bit display map and mapping parameters
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Image linking, correction and enhancement
I019Local contrast, CLAHE and detail enhancement
View requirements
- Project input
- single frame
- expected output
- Enhancement images and over-enhancement diagnosis
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Image linking, correction and enhancement
I020Pseudocolor, isothermal zone and temperature scale rendering
View requirements
- Project input
- Temperature/DN matrix
- expected output
- Traceable display of plots, color scales and thresholds
- Implementation
- Requires project-specific development and validation
- Category
- Image linking, correction and enhancement
C02 · Radiation thermometry, thermal field measurement and uncertainty
I021DN to in-band radiance conversion
View requirements
- Project input
- L1 and scaling coefficient
- expected output
- radiance matrix
- Implementation
- Requires project-specific development and validation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I022Radiance to apparent temperature conversion
View requirements
- Project input
- Radiance, response function
- expected output
- apparent temperature matrix
- Implementation
- Requires project-specific development and validation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I023Emissivity estimation, configuration and regional compensation
View requirements
- Project input
- Material/reference patch/temperature data
- expected output
- Emissivity plot and compensated temperature
- Implementation
- Requires project-specific development and validation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I024Reflected apparent temperature estimation and compensation
View requirements
- Project input
- Reflection source measurements/environmental data
- expected output
- Reflected temperature and compensation results
- Implementation
- Requires project-specific development and validation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I025Distance, atmospheric temperature and humidity transmission compensation
View requirements
- Project input
- distance, temperature and humidity, spectrum
- expected output
- Atmospheric transmittance and compensation temperature
- Implementation
- Requires project-specific development and validation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I026Infrared window transmittance and window self-radiation compensation
View requirements
- Project input
- Window Parameters/Boldbody Contrast
- expected output
- Window model and compensation results
- Implementation
- Requires project-specific development and validation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I027Blackbody multi-temperature and multi-distance radiation calibration
View requirements
- Project input
- boldface sequence
- expected output
- Calibration curve, residuals and applicable range
- Implementation
- Requires project-specific development and validation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I028Multi-gain/multi-range temperature curve splicing
View requirements
- Project input
- Multi-level calibration data
- expected output
- Continuous range curve and switching error
- Implementation
- Requires project-specific development and validation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I029Pixel-level temperature deviation map and uniformity assessment
View requirements
- Project input
- black body flat field
- expected output
- Deviation plots, uniformity and edge effects
- Implementation
- Requires project-specific development and validation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I030NETD, MRTD/MDTD and noise index calculation
View requirements
- Project input
- Standard target/black body sequence
- expected output
- Sensitivity and resolution indicators
- Implementation
- Requires project-specific development and validation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I031ROI Minimum, maximum, mean, quantile statistics
View requirements
- Project input
- Temperature matrix, ROI
- expected output
- Temperature statistics and pixel location
- Implementation
- Common modules can be reused
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I032Hot/cold spot and local extreme value positioning
View requirements
- Project input
- Temperature/DN graph
- expected output
- extreme value, contour, saliency
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I033Isotherms, temperature area and hot spot proportion
View requirements
- Project input
- Temperature map
- expected output
- Isothermal contours, areas and proportions
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I034Temperature gradient, Laplacian and thermal boundary extraction
View requirements
- Project input
- Temperature map
- expected output
- Gradient fields, boundaries and mutation regions
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I035Reference area temperature difference and comparison of similar equipment
View requirements
- Project input
- Object ROI, reference ROI
- expected output
- ΔT, ranking and anomaly scores
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I036Heat source center of mass, principal axis and second moment
View requirements
- Project input
- hot spot mask
- expected output
- center, direction, spread scale
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I037Evaluation of spatial uniformity of instantaneous thermal field
View requirements
- Project input
- Temperature map/process area
- expected output
- Uniformity, range, CV and area plots
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I038Thermal image pixel to physical plane mapping
View requirements
- Project input
- Calibration plate/target plane
- expected output
- Physical coordinates, hot spot size
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I039Temperature measurement uncertainty propagation
View requirements
- Project input
- Calibration, emissivity, environmental error
- expected output
- Synthetic uncertainty and sensitivity
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
I040Reverse heat conduction, heat flow and thermal resistance estimation
View requirements
- Project input
- Temperature space-time field, boundary and material parameters
- expected output
- Heat Flow/Thermal Resistance Estimates and Confidence Intervals
- Implementation
- Requires project-specific development and validation
- Category
- Radiation thermometry, thermal field measurement and uncertainty
C03 · Geometric, cross-spectral registration and multi-sensor fusion
I041Participate in distortion calibration in infrared camera
View requirements
- Project input
- Infrared calibration plate multi-pose diagram
- expected output
- Internal parameters, distortion and reprojection errors
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I042RGB-IR External participation in rigid body relationship calibration
View requirements
- Project input
- Synchronous dual-curor calibration chart
- expected output
- External parameters, field of view overlap and error
- Implementation
- Need to be evaluated according to project conditions
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I043Planar Homography Cross-Spectral Registration
View requirements
- Project input
- Dual light plane scene
- expected output
- Homography matrix and registration error
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I044Mutual information cross-spectral rigid registration
View requirements
- Project input
- RGB/IR image
- expected output
- Rigid or affine transformation
- Implementation
- Requires project-specific development and validation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I045Gradient, edge and contour cross-spectral registration
View requirements
- Project input
- bifocal image
- expected output
- Registration transformation and edge error
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I046Cross-spectral feature point and descriptor matching
View requirements
- Project input
- bifocal image
- expected output
- Matching points, transformations and interior point rates
- Implementation
- Requires project-specific development and validation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I047Dense cross-spectral optical flow
View requirements
- Project input
- Sync video
- expected output
- Pixel displacement fields and confidence
- Implementation
- Need to be evaluated according to project conditions
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I048Deformable target cross-spectral registration
View requirements
- Project input
- Human body/software/close range dual light
- expected output
- non-rigid deformation field
- Implementation
- Requires project-specific development and validation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I049Dual-optical time synchronization deviation estimation
View requirements
- Project input
- Dual video/trigger
- expected output
- Time offset, jitter and drift
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I050Online registration drift detection
View requirements
- Project input
- Long-term dual-light video
- expected output
- Offset trends and recalibration alarms
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I051Pixel-level infrared-visible light fusion
View requirements
- Project input
- Registered dual light
- expected output
- Fusion display plot and quality score
- Implementation
- Requires project-specific development and validation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I052Pyramid, wavelet and saliency fusion
View requirements
- Project input
- Registered dual light
- expected output
- Multi-scale fusion map
- Implementation
- Requires project-specific development and validation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I053Deep network dual-light image fusion
View requirements
- Project input
- paired training set
- expected output
- Fusion model and output graph
- Implementation
- Requires special model and data verification
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I054Feature-level dual-light detection fusion
View requirements
- Project input
- Synchronous dual light and annotation
- expected output
- Target results and modal weights
- Implementation
- Requires special model and data verification
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I055Decision-level multi-sensor fusion
View requirements
- Project input
- Detection results of each mode
- expected output
- Merge goals, confidence and conflict status
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I056Cross-spectral knowledge distillation
View requirements
- Project input
- Paired/unpaired data
- expected output
- Unimodal student model
- Implementation
- Requires project-specific development and validation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I057Infrared and depth/point cloud thermal texture mapping
View requirements
- Project input
- IR+RGB-D/LiDAR
- expected output
- Point cloud or grid with temperature
- Implementation
- Need to be evaluated according to project conditions
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I058Thermal infrared stereo matching and depth estimation
View requirements
- Project input
- Dual thermal image synchronization pair
- expected output
- Parallax, depth and active area
- Implementation
- Requires project-specific development and validation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I059IR+radar target level fusion
View requirements
- Project input
- IR and radar tracks
- expected output
- Goal status, speed and confidence
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
I060Registration, synchronization and fusion quality gating
View requirements
- Project input
- multi-source data
- expected output
- Available/degraded status and failure reasons
- Implementation
- Requires project-specific development and validation
- Category
- Geometric, cross-spectral registration and multi-sensor fusion
C04 · Detection, segmentation, identification and anomaly analysis
I061Global/Adaptive Hot Threshold Segmentation
View requirements
- Project input
- L0–L2
- expected output
- Hot zone masks and thresholds
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Detection, segmentation, identification and anomaly analysis
I062Local background differential thermal anomaly
View requirements
- Project input
- Temperature/DN graph
- expected output
- Local ΔT and anomaly masks
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Detection, segmentation, identification and anomaly analysis
I063Multi-scale Top-hat small hot spot detection
View requirements
- Project input
- IR frame
- expected output
- Candidates for small hot spots
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Detection, segmentation, identification and anomaly analysis
I064Statistical process thermal anomaly detection
View requirements
- Project input
- ROI spatiotemporal characteristics
- expected output
- Mahalanobis distance, anomaly score
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Detection, segmentation, identification and anomaly analysis
I065One-class classification and isolated anomaly detection
View requirements
- Project input
- normal sample
- expected output
- Anomaly scores and regions
- Implementation
- Requires special model and data verification
- Category
- Detection, segmentation, identification and anomaly analysis
I066Autoencoders/Reconstructive Anomaly Detection
View requirements
- Project input
- Normal infrared sample
- expected output
- Reconstruct residual and anomaly plots
- Implementation
- Requires special model and data verification
- Category
- Detection, segmentation, identification and anomaly analysis
I067Connected domains and morphological hot spot screening
View requirements
- Project input
- Binary hot spot
- expected output
- object, area, shape
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Detection, segmentation, identification and anomaly analysis
I068Separation of adjacent hot spots in watershed
View requirements
- Project input
- heat spot map
- expected output
- instance area
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Detection, segmentation, identification and anomaly analysis
I069Contour, shape and orientation features
View requirements
- Project input
- hot area mask
- expected output
- Contour description and geometric quantities
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Detection, segmentation, identification and anomaly analysis
I070LBP/GLCM/Gabor thermal texture
View requirements
- Project input
- Infrared ROI
- expected output
- Texture vectors and classification features
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Detection, segmentation, identification and anomaly analysis
I071Semantic segmentation
View requirements
- Project input
- Infrared or dual light and weight
- expected output
- Pixel category
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Detection, segmentation, identification and anomaly analysis
I072Instance splitting
View requirements
- Project input
- Infrared or dual light and labeling
- expected output
- Object masks and IDs
- Implementation
- Requires special model and data verification
- Category
- Detection, segmentation, identification and anomaly analysis
I073Universal object detection
View requirements
- Project input
- Infrared or dual light and labeling
- expected output
- Categories, boxes and confidence
- Implementation
- Requires project-specific development and validation
- Category
- Detection, segmentation, identification and anomaly analysis
I074Rotating box and dense small object detection
View requirements
- Project input
- Aerial photography/long range infrared
- expected output
- Spin box and small target
- Implementation
- Requires special model and data verification
- Category
- Detection, segmentation, identification and anomaly analysis
I075Point object detection and pre-track detection
View requirements
- Project input
- Low signal-noise infrared sequence
- expected output
- Point targets, trajectories and saliency
- Implementation
- Requires project-specific development and validation
- Category
- Detection, segmentation, identification and anomaly analysis
I076Hot target saliency detection
View requirements
- Project input
- single frame/video
- expected output
- Saliency maps and target candidates
- Implementation
- Requires project-specific development and validation
- Category
- Detection, segmentation, identification and anomaly analysis
I077Part/Asset Identification and Hot Zone Association
View requirements
- Project input
- RGB-IR or IR
- expected output
- Device ID, Part ROI, Temperature
- Implementation
- Need to be evaluated according to project conditions
- Category
- Detection, segmentation, identification and anomaly analysis
I078Hot mode fault classification
View requirements
- Project input
- Heatmap/ROI/LoadInformation
- expected output
- Failure candidate categories and confidence
- Implementation
- Need to be evaluated according to project conditions
- Category
- Detection, segmentation, identification and anomaly analysis
I079Open set identification and unknown fault rejection
View requirements
- Project input
- Known class training set
- expected output
- Known classes, unknown classes and distance
- Implementation
- Requires special model and data verification
- Category
- Detection, segmentation, identification and anomaly analysis
I080Detection confidence calibration and risk stratification
View requirements
- Project input
- Validation set, model output
- expected output
- Calibration Confidence and Rejection Thresholds
- Implementation
- Requires project-specific development and validation
- Category
- Detection, segmentation, identification and anomaly analysis
C05 · Infrared Video, Tracking, Behavior and Events
I081Two-frame/three-frame differential motion detection
View requirements
- Project input
- Infrared video
- expected output
- motion mask
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Infrared Video, Tracking, Behavior and Events
I082MOG/Adaptive Background Modeling
View requirements
- Project input
- Fixed camera video
- expected output
- Foreground and background models
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Infrared Video, Tracking, Behavior and Events
I083Sparse/dense infrared optical flow
View requirements
- Project input
- Infrared video
- expected output
- motion vector field
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Infrared Video, Tracking, Behavior and Events
I084Estimation of thermal plumes, smoke plumes and convective flow fields
View requirements
- Project input
- Infrared video
- expected output
- Plume direction, velocity proxies and regions
- Implementation
- Need to be evaluated according to project conditions
- Category
- Infrared Video, Tracking, Behavior and Events
I085Single target Kalman tracking
View requirements
- Project input
- detection sequence
- expected output
- Trajectory, speed and prediction
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Infrared Video, Tracking, Behavior and Events
I086Multi-objective data association and tracking
View requirements
- Project input
- detection sequence
- expected output
- ID, track, ID switching
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Infrared Video, Tracking, Behavior and Events
I087Occlusion recovery and trajectory reconnection
View requirements
- Project input
- Infrared video
- expected output
- Continuous trajectory and occlusion status
- Implementation
- Requires special model and data verification
- Category
- Infrared Video, Tracking, Behavior and Events
I088Cross-camera infrared/dual light tracking
View requirements
- Project input
- Multi-camera video
- expected output
- Global IDs and cross-image trajectories
- Implementation
- Requires project-specific development and validation
- Category
- Infrared Video, Tracking, Behavior and Events
I089Area intrusion, boundary crossing and directional events
View requirements
- Project input
- track, area
- expected output
- Incidents and pieces of evidence
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Infrared Video, Tracking, Behavior and Events
I090Dwell, linger, gather and capacity statistics
View requirements
- Project input
- target trajectory
- expected output
- Duration, density and events
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Infrared Video, Tracking, Behavior and Events
I091Count, flow and direction matrices
View requirements
- Project input
- track/goal line
- expected output
- Number of entries and exits and traffic
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Infrared Video, Tracking, Behavior and Events
I092Heatmap pose keypoint estimation
View requirements
- Project input
- Human/Animal Infrared Image
- expected output
- Keypoints, poses and confidence
- Implementation
- Requires special model and data verification
- Category
- Infrared Video, Tracking, Behavior and Events
I093Fall, lying down and abnormal posture recognition
View requirements
- Project input
- Key points/video
- expected output
- behavioral events
- Implementation
- Requires special model and data verification
- Category
- Infrared Video, Tracking, Behavior and Events
I094Gesture, action and work step recognition
View requirements
- Project input
- Infrared/dual light video
- expected output
- Action Categories and Phases
- Implementation
- Requires special model and data verification
- Category
- Infrared Video, Tracking, Behavior and Events
I095Sleep position, turning over and leaving bed monitoring
View requirements
- Project input
- controlled thermal video
- expected output
- Position, bed exit and events
- Implementation
- Need to be evaluated according to project conditions
- Category
- Infrared Video, Tracking, Behavior and Events
I096Nose and mouth heat flow respiratory waveform extraction
View requirements
- Project input
- Close range radiation video
- expected output
- Respiratory agent waveform and frequency
- Implementation
- Need to be evaluated according to project conditions
- Category
- Infrared Video, Tracking, Behavior and Events
I097Flame flash and smoke plume timing identification
View requirements
- Project input
- MWIR/LWIR video
- expected output
- Flame/smoke candidates and spectral features
- Implementation
- Need to be evaluated according to project conditions
- Category
- Infrared Video, Tracking, Behavior and Events
I098TRENDS, EWMA, CUSUM & CHANGE POINTS
View requirements
- Project input
- ROI temperature sequence
- expected output
- Change point and trend alerts
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Infrared Video, Tracking, Behavior and Events
I099Cycle, spectrum and state beat analysis
View requirements
- Project input
- Temperature/Motion Sequence
- expected output
- Periods, Spectrum and Anomalies
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Infrared Video, Tracking, Behavior and Events
I100Event deduplication, summary and evidence fragment generation
View requirements
- Project input
- Multiple event streams
- expected output
- Merge alerts, keyframes and clips
- Implementation
- Requires project-specific development and validation
- Category
- Infrared Video, Tracking, Behavior and Events
C06 · Active thermal imaging and thermal non-destructive testing
I101Thermal response curve extraction and baseline subtraction
View requirements
- Project input
- L5 time series
- expected output
- Pixel/ROI response curve
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Active thermal imaging and thermal non-destructive testing
I102Heating and cooling rates and time constants
View requirements
- Project input
- Thermal excitation sequence
- expected output
- Rates, time constants and profiles
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Active thermal imaging and thermal non-destructive testing
I103Pulse Thermography Raw Thermal Contrast
View requirements
- Project input
- Flash excitation sequence
- expected output
- Absolute/Differential Thermal Comparison Chart
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I104Normalized/differential absolute thermal comparison
View requirements
- Project input
- Test piece and reference area sequence
- expected output
- Compare curves and defect candidates
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I105TSR log polynomial reconstruction
View requirements
- Project input
- pulse thermal sequence
- expected output
- Reconstruct temperature and coefficient plots
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I106TSR first/second logarithmic derivative
View requirements
- Project input
- TSR coefficient
- expected output
- Derivative plots and defect enhancement plots
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I107Pulse phase thermography PPT
View requirements
- Project input
- hot sequence
- expected output
- Frequency-Amplitude-Phase Diagram
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Active thermal imaging and thermal non-destructive testing
I108Lock-in thermography amplitude and phase
View requirements
- Project input
- Periodic excitation sequence
- expected output
- Phase-locked amplitude and phase plots
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I109Multi-frequency phase locking and frequency scanning
View requirements
- Project input
- Multi-frequency excitation
- expected output
- Frequency response and depth sensitivity plots
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I110Principal component thermography PCT
View requirements
- Project input
- hot sequence
- expected output
- EOF/principal component defect map
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Active thermal imaging and thermal non-destructive testing
I111Independent Component Analysis and Sparse Thermal Image Decomposition
View requirements
- Project input
- hot sequence
- expected output
- Independent/sparse component graph
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I112Dynamic thermal chromatography maxigram/timegram
View requirements
- Project input
- hot sequence
- expected output
- Maximum Contrast and Arrival Time Plot
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I113Thermal Wave Propagation and Depth Depth Estimation
View requirements
- Project input
- Phase/time characteristics, material parameters
- expected output
- In-depth candidates and scope
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I114Thermal diffusivity and thermal conductivity inversion
View requirements
- Project input
- Excitation, geometry, boundary parameters
- expected output
- Physical property estimates and uncertainties
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I115Vibration thermography crack heat source extraction
View requirements
- Project input
- Vibration+heat sequence
- expected output
- Crack heat source and response curve
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I116Induction Thermography Surface/Near Surface Crack Detection
View requirements
- Project input
- Electromagnetic excitation + thermal sequence
- expected output
- Crack candidates and phases
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I117Step heating and long pulse thermography
View requirements
- Project input
- long excitation sequence
- expected output
- Deep defect comparison
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I118laser spot/line scanning thermal imaging
View requirements
- Project input
- Scan excitation + thermal sequence
- expected output
- Local crack/defect map
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
I119Defect segmentation, size and depth joint estimation
View requirements
- Project input
- Post-processed heat map and true value
- expected output
- Defect mask, size, depth
- Implementation
- Need to be evaluated according to project conditions
- Category
- Active thermal imaging and thermal non-destructive testing
I120POD, Reference Block, and Thermal NDT Uncertainties
View requirements
- Project input
- Artificial defect test block/repeated test
- expected output
- Detection probability, a90/95 and other statistics
- Implementation
- Requires project-specific development and validation
- Category
- Active thermal imaging and thermal non-destructive testing
C07 · NIR/SWIR, multispectral, hyperspectral and remote sensing
I121Darkfield, whiteboard and reflectance calibration
View requirements
- Project input
- Multi/hyperspectral and reference boards
- expected output
- reflectivity cube
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I122Spectral bad lines, bad bands and noise band removal
View requirements
- Project input
- spectral cube
- expected output
- Effective Bands and Quality Maps
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I123smile/keystone spectral geometric correction
View requirements
- Project input
- Standard spectral line/space target
- expected output
- Correction cubes and residuals
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I124Spectral denoising, smoothing and derivatives
View requirements
- Project input
- spectral cube
- expected output
- Denoised spectra and derivatives
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I125Multi-band spatial registration and resampling
View requirements
- Project input
- multi-band images
- expected output
- Alignment bands and errors
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I126Radiometric normalization and cross-date correction
View requirements
- Project input
- Multi-temporal images/reference objects
- expected output
- Comparable reflectance and correction parameters
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I127Atmospheric correction and terrain correction
View requirements
- Project input
- Remote sensing images and atmosphere/DEM
- expected output
- Surface reflectivity and mass layer
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I128Vegetation indices such as NDVI, EVI, and red edges
View requirements
- Project input
- VIS+NIR/red edge
- expected output
- Vegetation index and zoning
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I129NDWI/NDMI/NDII moisture index
View requirements
- Project input
- NIR+SWIR
- expected output
- Water body/water content index
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I130NBR/dNBR fire scars and change index
View requirements
- Project input
- NIR+SWIR multi-phase
- expected output
- Burn level proxies and change zones
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I131Split window/single channel surface temperature retrieval
View requirements
- Project input
- TIR multi-band/single-band
- expected output
- Surface temperature and mass layers
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I132Temperature-Emissivity Separation TES
View requirements
- Project input
- Multiband TIR
- expected output
- Emissivity spectrum and temperature
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I133Thermal inertia and day and night temperature difference analysis
View requirements
- Project input
- Day and night TIR/Weather
- expected output
- Thermal inertia proxy and feature zoning
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I134Spectral Angle Mapping SAM
View requirements
- Project input
- Spectral Cube/Library
- expected output
- Category and spectral angle
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I135Spectral matching filtering and object detection
View requirements
- Project input
- Spectral Cube/Target Spectrum
- expected output
- target score graph
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I136Linear/nonlinear spectral unmixing
View requirements
- Project input
- Spectral Cube/Endmember
- expected output
- Endmembers and abundance
- Implementation
- Requires project-specific development and validation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I137PLS/Regression Moisture and Composition Estimation
View requirements
- Project input
- Spectra and laboratory truth values
- expected output
- Regression values and intervals
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I138Hyperspectral Supervised Classification
View requirements
- Project input
- Cubes and labels
- expected output
- Material/Crop/Mineral Category
- Implementation
- Requires special model and data verification
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I139RX/subspace hyperspectral anomaly detection
View requirements
- Project input
- spectral cube
- expected output
- Anomaly scores and regions
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
I140Multi-temporal infrared/spectral change detection
View requirements
- Project input
- Registering multi-temporal images
- expected output
- Varying masks, types and confidence
- Implementation
- Need to be evaluated according to project conditions
- Category
- NIR/SWIR, multispectral, hyperspectral and remote sensing
C08 · Data, Model, Deployment and Validation
I1418/12/14/16-bit unified normalization and reversible mapping
View requirements
- Project input
- Multi-format infrared data
- expected output
- Training tensors and mapping records
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I142Data augmentation that preserves the physical meaning of temperature
View requirements
- Project input
- Radiation data and labels
- expected output
- Enhanced samples and transformation logs
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I143Inter-sensor domain adaptation
View requirements
- Project input
- Similar data from multiple cameras
- expected output
- Domain adaptation models and hierarchical metrics
- Implementation
- Requires special model and data verification
- Category
- Data, models, deployment and validation
I144Day and night, seasonal and weather domain adaptation
View requirements
- Project input
- multi-environment data
- expected output
- Robust models and environment layering
- Implementation
- Requires special model and data verification
- Category
- Data, models, deployment and validation
I145Radiation simulation and synthetic infrared data generation
View requirements
- Project input
- Geometry, Materials, Temperature and Environment
- expected output
- Synthetic frames and ground truth
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I146Self-supervised infrared representation learning
View requirements
- Project input
- A large amount of unlabeled infrared data
- expected output
- Pretrained encoder
- Implementation
- Requires special model and data verification
- Category
- Data, models, deployment and validation
I147Semi-supervised, weakly supervised and pseudo-label training
View requirements
- Project input
- A small amount of labeled + unlabeled data
- expected output
- Product model and fake label audit
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I148Active learning and collection of difficult examples
View requirements
- Project input
- Online sample/model uncertainty
- expected output
- Queue to be marked and coverage statistics
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I149Class Imbalance, Long Tail, and Rare Fault Learning
View requirements
- Project input
- Imbalanced data
- expected output
- Resampling/loss configuration and stratification metrics
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I150Model uncertainty and OOD detection
View requirements
- Project input
- Model output/out-of-domain samples
- expected output
- Uncertainty and rejection status
- Implementation
- Requires special model and data verification
- Category
- Data, models, deployment and validation
I151Temperature, load and environment joint characteristic model
View requirements
- Project input
- Image + working condition data
- expected output
- Status/Fault Result
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I152Fusion of rules, physical thresholds and AI results
View requirements
- Project input
- Model results and engineering rules
- expected output
- Interpretable alarm and conflict status
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I153Alarm hysteresis, suppression, deduplication and escalation
View requirements
- Project input
- Alarm flow
- expected output
- Stability events and escalation levels
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I154Model quantization, pruning and edge deployment
View requirements
- Project input
- Training model/target hardware
- expected output
- Deployment model, accuracy and latency reports
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I155Blocked reasoning, ROI scheduling and multi-channel video resource control
View requirements
- Project input
- High resolution/multi-channel video
- expected output
- Inference results and resource statistics
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I156Camera online, freezing, occlusion and image quality health monitoring
View requirements
- Project input
- Video and telemetry
- expected output
- Health status and recovery time
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Data, models, deployment and validation
I157Temperature scale, NUC, model and environmental drift monitoring
View requirements
- Project input
- long term data
- expected output
- Drift trends and recalibration recommendations
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Data, models, deployment and validation
I158Dataset stratified by distance, temperature, weather, load
View requirements
- Project input
- Data and metadata
- expected output
- Tiered listings and coverage gaps
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I159Reproduction metadata, parameters, timestamps and original evidence archive
View requirements
- Project input
- Images, parameters and results
- expected output
- Reviewable record package
- Implementation
- Requires project-specific development and validation
- Category
- Data, models, deployment and validation
I160Independent testing, blind testing, POD and error budget acceptance
View requirements
- Project input
- Freeze model/standalone data
- expected output
- Acceptance report and applicable boundaries
- Implementation
- Universal foundation can be reused, requiring infrared adaptation
- Category
- Data, models, deployment and validation
Implementation conditions and acceptance requirements
The general image or timing module needs to be combined with the target infrared camera to complete data adaptation, parameter confirmation and independent testing; special development projects need to determine the scope of implementation based on data, physical conditions and model training requirements.
Temperature, heat flow, defect depth, material composition, gas concentration and human health related outputs must be configured with corresponding calibration or controlled tests and cannot be directly derived from ordinary display diagrams.
Project consultation
xuzhiyang0928@gmail.com
Define the Development Scope with Samples and Device Requirements
Infrared image algorithm development service directory
Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.
Phone: 13910119357xuzhiyang0928@gmail.com