Enterprise Application Area D31

Infrared vision development services for railways, subways and rail transit

For "railway, subway and rail transit" 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 numberD31
Demand scenario8 items
main inputLine array/area array LWIR L2/L3; LWIR L2/L4;
Typical routeT03、T07、T04、T14、T05、T06、T19、T02、T20

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

IR241

Axle box, wheel hub and brake disc temperature monitoring

Minimum input and technical route
Line array/area array LWIR L2/L3;T03+T07
target output
Vehicle number/axle location, temperature and hot axis alarm candidates
Implementation
Requires high-speed synchronization
critical acceptance
Speed/distance stratification, axis correlation rate, temperature error
IR242

Pantographs, catenaries and electrical connection hotspots

Minimum input and technical route
LWIR L2/L4;T04+T14
target output
Hot spots, component locations and route coordinates
Implementation
Requires vehicle/drone integration
critical acceptance
Component Recall, mileage positioning error
IR243

Inspection of trackside electrical cabinets, signaling equipment and transformers

Minimum input and technical route
LWIR L2/L3;T04+T05
target output
Equipment temperatures, anomalies and trends
Implementation
Partially reusable
critical acceptance
Asset binding rate, hot spots Recall
IR244

Double-light inspection of running parts under the vehicle

Minimum input and technical route
RGB-LWIR L4;T06+T07
target output
Parts, foreign objects, temperature and missing status
Implementation
Product data required
critical acceptance
Part-level Recall, registration error, takt
IR245

Detection of people, animals and foreign objects in tunnels at night

Minimum input and technical route
LWIR L3;T07+T19
target output
Targets, trajectories and limit violation events
Implementation
Scenario data required
critical acceptance
Long distance recall, false alarm/hour
IR246

Candidates for leakage thermal anomalies in tracks, trackbeds and tunnels

Minimum input and technical route
LWIR L2/L4;T02+T14
target output
Exception areas, mileage and review points
Implementation
Required environment model
critical acceptance
Compared with manual/water content inspection, positioning error
IR247

Train air conditioning, door and cabin thermal status inspection

Minimum input and technical route
LWIR L2/L3;T03+T04
target output
Air vent/door seal/cabin temperature and abnormalities
Implementation
Partially reusable
critical acceptance
Compare with temperature sensor/door status
IR248

Track inspection infrared video and mileage synchronized archiving

Minimum input and technical route
L3/L4;T20
target output
Frame-mileage-asset association and auditable records
Implementation
Need system integration
critical acceptance
Synchronization error, missed frame rate, data integrity rate

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

  1. Project input confirmationCheck camera, spectral band, bit depth, SDK, environmental conditions, sample and acceptance true value.
  2. Sample verificationVerify key processing links, applicable conditions and abnormal working conditions, and determine the development scope and acceptance methods.
  3. Algorithm development and integrationImplement data parsing, algorithms, quality gating, interfaces and target platform deployment.
  4. 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

Define the Development Scope with Samples and Device Requirements

Infrared vision development services for railways, subways and rail transit

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

Phone: 13910119357
xuzhiyang0928@gmail.com

The information filled in will only be used for evaluation and contact for this project. Please do not submit unauthorized personal information or sensitive data.