Infrared image algorithm development and equipment adaptation

Detection, segmentation, identification and anomaly analysis infrared algorithm development services

Covering a total of 20 algorithms or engineering workflows from I061 to I080, it provides needs assessment, special implementation, SDK/API, platform adaptation and test acceptance for enterprise projects.

Submit project information · Get evaluation Return to all algorithm catalogs

Classification scope and enterprise project entrance

Algorithm numberI061–I080

Service content20 algorithmic or engineering workflows

Main contentGlobal/adaptive thermal threshold segmentation, local background difference thermal anomaly, multi-scale top-hat small hotspot detection, statistical process thermal anomaly detection

Delivery methodPhased evaluation, algorithm/model, SDK/API, deployment and test records

Specific algorithm development services

Global/Adaptive Hot Threshold Segmentation

Input: L0–L2

Output: hot zone mask and threshold

Universal foundation can be reused, requiring infrared adaptation

View service details →I062

Local background differential thermal anomaly

Input: Temperature/DN graph

Output: local ΔT and anomaly masks

Universal foundation can be reused, requiring infrared adaptation

View service details →I063

Multi-scale Top-hat small hot spot detection

Input: IR frames

Output: small hotspot candidate

Universal foundation can be reused, requiring infrared adaptation

View service details →I064

Statistical process thermal anomaly detection

Input: ROI spatiotemporal features

Output: Mahalanobis distance, anomaly score

Universal foundation can be reused, requiring infrared adaptation

View service details →I065

One-class classification and isolated anomaly detection

Input: normal sample

Output: anomaly scores and regions

Requires special model and data verification

View service details →I066

Autoencoders/Reconstructive Anomaly Detection

Input: normal infrared sample

Output: Reconstructed residuals and anomaly plots

Requires special model and data verification

View service details →I067

Connected domains and morphological hot spot screening

Input: binary hot spot

Output: objects, areas, shapes

Universal foundation can be reused, requiring infrared adaptation

View service details →I068

Separation of adjacent hot spots in watershed

Input: heat spot map

Output: instance area

Universal foundation can be reused, requiring infrared adaptation

View service details →I069

Contour, shape and orientation features

Input: hot zone mask

Output: contour description and geometric quantities

Universal foundation can be reused, requiring infrared adaptation

View service details →I070

LBP/GLCM/Gabor thermal texture

Input: IR ROI

Output: texture vectors and categorical features

Universal foundation can be reused, requiring infrared adaptation

View service details →I071

Semantic segmentation

Input: Infrared or dual light and weight

Output: pixel category

Universal foundation can be reused, requiring infrared adaptation

View service details →I072

Instance splitting

Input: infrared or dual light and labeling

Output: Object Mask and ID

Requires special model and data verification

View service details →I073

Universal object detection

Input: infrared or dual light and labeling

Output: categories, boxes and confidence

Requires project-specific development and validation

View service details →I074

Rotating box and dense small object detection

Input: Aerial Photography/Long Range Infrared

Output: rotating box and small target

Requires special model and data verification

View service details →I075

Point object detection and pre-track detection

Input: low signal-noise infrared sequence

Output: point targets, trajectories and saliency

Requires project-specific development and validation

View service details →I076

Hot target saliency detection

Input: single frame/video

Output: saliency map and target candidate

Requires project-specific development and validation

View service details →I077

Part/Asset Identification and Hot Zone Association

Input: RGB-IR or IR

Output: Device ID, Part ROI, Temperature

Need to be evaluated according to project conditions

View service details →I078

Hot mode fault classification

Input: heatmap/ROI/load information

Output: fault candidate category and confidence

Need to be evaluated according to project conditions

View service details →I079

Open set identification and unknown fault rejection

Input: known class training set

Output: known classes, unknown classes and distance

Requires special model and data verification

View service details →I080

Detection confidence calibration and risk stratification

Input: validation set, model output

Output: Calibration confidence and rejection threshold

Requires project-specific development and validation

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.

Project consultation

Define the Development Scope with Samples and Device Requirements

Detection, segmentation, identification and anomaly analysis infrared algorithm development services

Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.

Phone: 13910119357
xuzhiyang0928@gmail.com