Radiation thermometry, thermal field measurement and uncertainty infrared algorithm development services
Covering a total of 20 algorithms or engineering workflows from I021 to I040, it provides needs assessment, special implementation, SDK/API, platform adaptation and test acceptance for enterprise projects.
Classification scope and enterprise project entrance
Specific algorithm development services
DN to in-band radiance conversion
Input: L1 and scaling coefficient
Output: radiance matrix
View service details →I022Radiance to apparent temperature conversion
Input: radiance, response function
Output: apparent temperature matrix
View service details →I023Emissivity estimation, configuration and regional compensation
Input: material/reference patch/temperature data
Output: Emissivity plot and compensated temperature
View service details →I024Reflected apparent temperature estimation and compensation
Input: Reflection source measurements/environmental data
Output: Reflected temperature and compensation results
View service details →I025Distance, atmospheric temperature and humidity transmission compensation
Input: distance, temperature and humidity, spectrum segment
Output: Atmospheric transmittance and compensated temperature
View service details →I026Infrared window transmittance and window self-radiation compensation
Input: window parameters/boldbody contrast
Output: window model and compensation results
View service details →I027Blackbody multi-temperature and multi-distance radiation calibration
Input: bold sequence
Output: calibration curve, residuals and applicable range
View service details →I028Multi-gain/multi-range temperature curve splicing
Input: multi-level calibration data
Output: Continuous range curve and switching error
View service details →I029Pixel-level temperature deviation map and uniformity assessment
Input: blackbody flat field
Output: Deviation plots, uniformity and edge effects
View service details →I030NETD, MRTD/MDTD and noise index calculation
Input: Standard target/black body sequence
Output: Sensitivity and resolution metrics
View service details →I031ROI Minimum, maximum, mean, quantile statistics
Input: temperature matrix, ROI
Output: Temperature statistics and pixel locations
View service details →I032Hot/cold spot and local extreme value positioning
Input: Temperature/DN graph
Output: extreme values, contours, saliency
View service details →I033Isotherms, temperature area and hot spot proportion
Input: temperature map
Output: Isothermal contours, areas and scales
View service details →I034Temperature gradient, Laplacian and thermal boundary extraction
Input: temperature map
Output: gradient fields, boundaries and mutation regions
View service details →I035Reference area temperature difference and comparison of similar equipment
Input: Object ROI, Reference ROI
Output: ΔT, ranking and anomaly score
View service details →I036Heat source center of mass, principal axis and second moment
Input: hot spot mask
Output: center, direction, diffusion scale
View service details →I037Evaluation of spatial uniformity of instantaneous thermal field
Input: Temperature Map/Process Area
Output: Uniformity, Range, CV and Area Plots
View service details →I038Thermal image pixel to physical plane mapping
Input: calibration plate/target plane
Output: physical coordinates, hot spot size
View service details →I039Temperature measurement uncertainty propagation
Input: calibration, emissivity, environmental error
Output: Resultant Uncertainty and Sensitivity
View service details →I040Reverse heat conduction, heat flow and thermal resistance estimation
Input: Temperature space-time field, boundary and material parameters
Output: Heat flow/thermal resistance estimates and confidence intervals
View service details →Implementation and delivery methods
- Project input confirmationCheck camera, spectral band, bit depth, SDK, environmental conditions, sample and acceptance true value.
- Sample verificationVerify key processing links, applicable conditions and abnormal working conditions, and determine the development scope and acceptance methods.
- Algorithm development and integrationImplement data parsing, algorithms, quality gating, interfaces and target platform deployment.
- Test acceptance and handoverRetest according to the agreed test set and target platform, and hand over the deliverables, test results and applicable conditions.
- Requirements and technical solutions, input and output and interface field definitions
- Algorithm library, model or SDK/API; delivery form is confirmed in the project plan
- Sample program, parameter configuration, error status and calling instructions
- Test set version, indicator definition, stratification results and failed sample records
- Target platform adaptation, resource usage and running delay records
- Version, dependencies, license, reproduction steps and applicable conditions description
Acceptance and capability boundaries
Each algorithm sets accuracy, repeatability, robustness, speed, resource usage and failure status indicators according to the output type.
Production performance and delivery scope are confirmed based on target equipment, independent samples and written acceptance indicators.
Define the Development Scope with Samples and Device Requirements
Radiation thermometry, thermal field measurement and uncertainty infrared algorithm development services
Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.
Phone: 13910119357xuzhiyang0928@gmail.com