Enterprise Application Area D26

Cold storage, refrigeration equipment and cold chain infrared vision development services

For "cold storage, refrigeration equipment and cold chain" 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 numberD26
Demand scenario8 items
main inputLWIR L2/L3;LWIR L2
Typical routeT02、T19、T04、T05、T03、T07、T15

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

IR201

The cold storage door is not closed, the door seal is leaking, and the door is opened frequently

Minimum input and technical route
LWIR L2/L3;T02+T19
target output
Door status, cold leakage area and duration
Implementation
Partially reusable
critical acceptance
Door sensor/operation record comparison, event F1
IR202

Cold storage enclosure insulation defects and thermal bridges

Minimum input and technical route
LWIR L2;T02
target output
Abnormal areas, areas and repair points
Implementation
Partially reusable
critical acceptance
Indoor and outdoor temperature difference/frost stratification, area IoU
IR203

Evaporator frosting and defrost stage identification

Minimum input and technical route
LWIR L2/L3;T04+T05
target output
Frost zones, stages and abnormal defrost
Implementation
Need working condition data
critical acceptance
Compare with pressure/defrost control record
IR204

Refrigeration compressor, condenser and pipeline thermal status

Minimum input and technical route
LWIR L2/L3;T03+T05
target output
Component Temperature and Abnormal Trends
Implementation
Partially reusable
critical acceptance
Compare with pressure/temperature instrument
IR205

Screening for abnormal surface temperature of cold chain packages

Minimum input and technical route
LWIR L2/L3;T03+T07
target output
Package temperature, trajectory and out-of-limit events
Implementation
Requires object tracking
critical acceptance
Compare with data logger/core temperature sampling; surface temperature is not equal to core temperature
IR206

Refrigerated compartment doors, air ducts and cargo heat distribution

Minimum input and technical route
LWIR L2/L3;T03+T15
target output
Car heat maps, local anomalies and events
Implementation
Requires spatial mapping
critical acceptance
Compare with multi-point temperature records to achieve complete coverage rate
IR207

Frozen food warming and melting boundary candidates

Minimum input and technical route
LWIR L2/L3;T03+T05
target output
Surface temperature curve and temperature return anomaly
Implementation
Product thermal model required
critical acceptance
Compare with core temperature/quality test
IR208

Exposure time and heat accumulation during cold chain loading and unloading

Minimum input and technical route
LWIR L2/L3;T07+T19
target output
Cargo trajectories, exposure duration and thermal risk proxies
Implementation
Business data required
critical acceptance
ID correlation rate, time error; risk threshold verified by product

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

Cold storage, refrigeration equipment and cold chain infrared vision development services

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

Phone: 13910119357
xuzhiyang0928@gmail.com

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