Infrared video, tracking, behavioral and event infrared algorithm development services
Covering a total of 20 algorithms or engineering workflows from I081 to I100, 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
Two-frame/three-frame differential motion detection
Input: infrared video
Output: motion mask
View service details →I082MOG/Adaptive Background Modeling
Input: Fixed camera video
Output: foreground and background models
View service details →I083Sparse/dense infrared optical flow
Input: infrared video
Output: motion vector field
View service details →I084Estimation of thermal plumes, smoke plumes and convective flow fields
Input: infrared video
Output: Plume direction, velocity proxy, and area
View service details →I085Single target Kalman tracking
Input: detection sequence
Output: trajectories, velocities and predictions
View service details →I086Multi-objective data association and tracking
Input: detection sequence
Output: ID, track, ID switching
View service details →I087Occlusion recovery and trajectory reconnection
Input: infrared video
Output: continuous trajectory and occlusion status
View service details →I088Cross-camera infrared/dual light tracking
Input: multi-camera video
Output: global ID and cross-mirror trajectory
View service details →I089Area intrusion, boundary crossing and directional events
Input: trajectory, region
Output: events and evidence fragments
View service details →I090Dwell, linger, gather and capacity statistics
Input: target trajectory
Output: Duration, Density, and Events
View service details →I091Count, flow and direction matrices
Input: track/goal line
Output: Number of entries and exits and traffic
View service details →I092Heatmap pose keypoint estimation
Input: Human/animal infrared image
Output: Keypoints, poses and confidence
View service details →I093Fall, lying down and abnormal posture recognition
Input: key points/video
Output: behavioral events
View service details →I094Gesture, action and work step recognition
Input: Infrared/dual light video
Output: Action Category and Phase
View service details →I095Sleep position, turning over and leaving bed monitoring
Input: controlled thermal video
Output: Position, Bed Exit and Events
View service details →I096Nose and mouth heat flow respiratory waveform extraction
Input: Near Radiation Video
Output: Breathing agent waveform and frequency
View service details →I097Flame flash and smoke plume timing identification
Input: MWIR/LWIR video
Output: flame/smoke candidates and spectral features
View service details →I098TRENDS, EWMA, CUSUM & CHANGE POINTS
Input: ROI temperature sequence
Output: Change point and trend alerts
View service details →I099Cycle, spectrum and state beat analysis
Input: temperature/motion sequence
Output: Periods, Spectrum and Anomalies
View service details →I100Event deduplication, summary and evidence fragment generation
Input: multiple event streams
Output: merge alerts, keyframes and clips
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
Infrared video, tracking, behavioral and event 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