Hotspot identification and positioning of inspection robot equipment
- target output
- Device ID, thermal anomaly, and 3D coordinates
- Implementation
- Need system integration
- critical acceptance
- Positioning error, device association rate, hot spot recall
Enterprise application areas D34
Infrared vision development services for robots, unmanned systems and automation equipment
For "robots, unmanned systems and automation equipment" related equipment manufacturers, system integrators and enterprise R&D, it provides infrared data evaluation, algorithm development, equipment/platform integration and test acceptance, covering 8 types of enterprise application scenarios.
Service scope and implementation plan
direction numberD34
Demand scenario8 items
main inputRGB-LWIR+pose L4; RGB-IR L4;
Typical routeT04、T15、T14、T20、T07、T08
The project scope is determined based on samples, equipment, working conditions and written indicators; general modules, special models and multi-sensor integration are configured according to the evaluation results.
Application scenarios and development content
UAV infrared aerial survey and automatic abnormal go-around
- target output
- Tracks, outliers, missed approach missions and coverage
- Implementation
- Required task system
- critical acceptance
- Coverage rate, repetition rate, abnormal return visit success rate
Pedestrian/obstacle detection by mobile robot in dark environment
- target output
- Obstacles, People, Distances and Feasible Zones
- Implementation
- Multi-sensor model required
- critical acceptance
- Obstacle Recall, distance error, frame rate
Fire extinguishing robot fire source and high temperature area navigation
- target output
- Fire source, temperature zone, passable zone
- Implementation
- Security system required
- critical acceptance
- Thermal saturation/smoke stratification, navigation success rate
Robotic arm grabs high-temperature/low-temperature workpiece identification
- target output
- Workpiece, temperature, grasping posture and prohibited grasping status
- Implementation
- Calibration required for integration
- critical acceptance
- Position error, temperature gating missed decision rate
Agricultural robot crop/animal sensing at night
- Minimum input and technical route
- NIR/LWIR L3/L4；T07
- target output
- Crop rows, animals, obstacles and tracks
- Implementation
- Scenario model required
- critical acceptance
- Night/Dust/Occlusion Layering
Heat source following, charging stand or device mark positioning
- target output
- Target orientation, distance and docking status
- Implementation
- Geometric calibration required
- critical acceptance
- Angle/distance error, docking success rate
Multi-robot thermal anomaly map fusion
- target output
- Merge maps, anomaly deduplication and provenance
- Implementation
- Requires multi-machine system
- critical acceptance
- Map alignment error, repetition rate, synchronization delay
Information required before project evaluation
- Target equipment/object, site conditions, business processes and follow-up actions to be taken
- Infrared camera, lens, spectral band, installation distance, field of view, resolution and data interface
- Original samples and collection parameters under normal, abnormal, boundary and interference conditions
- Reference truth values and annotation specifications for temperatures, parts, states, or events
- Target platform, network, interface, storage, latency and operating resource constraints
- False positives, missed negatives, manual review, linkage, failure handling and acceptance thresholds
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 design
Each scenario establishes independent test cases according to "key acceptance". When sharing models across scenarios, results are reported separately for each scenario, distance, load, environment, and target size, supplemented by overall statistics.
When high-risk alarms or controls are involved, the algorithm output is used for review or linkage judgment; safety functions, regulatory responsibilities, and automatic disposal require separate design and acceptance.
Frequently Asked Questions for Enterprise Customers
Can I purchase directly based on one of the scenes?
Can be evaluated first as a separate work package. The formal scope should describe the device, data, target objects, environment, interfaces, delivery form, and acceptance thresholds.
Can it be started when there are no abnormal samples?
The data interface, normal baseline, acquisition plan and simulation/controlled test design can be completed first; the abnormal detection rate and fault classification effect can be evaluated after obtaining sufficient abnormal true values.
Can the algorithm directly trigger alarms or equipment actions?
Duration, deduplication, quality gating, manual review, communication failure and safety interlocking need to be designed based on business risks. High-risk actions should be activated after completion of independent safety mechanisms and on-site acceptance.
Project consultation
xuzhiyang0928@gmail.com
Define the Development Scope with Samples and Device Requirements
Infrared vision development services for robots, unmanned systems and automation equipment
Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.
Phone: 13910119357xuzhiyang0928@gmail.com