Enterprise application areas D56

Scientific research, metrology, experimental equipment and educational infrared vision development services

Targeting equipment manufacturers, system integrators and enterprise R&D related to "scientific research, metrology, experimental equipment and education", 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 numberD56
Demand scenario8 items
main inputL2/L5;L5;LWIR L3;MWIR/LWIR L2/L3
Typical routeT03、T10、T05、T17、T01、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

IR441

Blackbody calibration, emissivity and reflected temperature teaching experiments

Minimum input and technical route
L2/L5;T03
target output
Calibration curves, error budgets and experimental reports
Implementation
Need standard source
critical acceptance
Versus reference blackbody/contact temperature
IR442

Visualization of thermal diffusivity and thermal conduction processes

Minimum input and technical route
L5;T10
target output
Thermal response curve, phase and physical property candidates
Implementation
Requires physical model
critical acceptance
Compare with standard material parameters
IR443

Natural convection, jets and thermal plumes PIV/optical flow proxies

Minimum input and technical route
LWIR L3;T05
target output
Plume boundaries, velocity proxies and changes
Implementation
Partially reusable A68
critical acceptance
Compare with particle/hotline wind speed results
IR444

Thermal processes of phase changes, crystallization, melting and solidification

Minimum input and technical route
MWIR/LWIR L2/L3;T05+T17
target output
Phase boundaries, temperature plateaus and time
Implementation
Material/microscopic truth required
critical acceptance
Phase boundary error, temperature/time synchronization
IR445

Observation of Microheat Sources in Friction, Fracture and Fatigue Processes

Minimum input and technical route
Highly sensitive MWIR/LWIR L3;T05
target output
Heat source location, amplitude and timing
Implementation
Requires scientific research grade equipment
critical acceptance
Versus mechanics/acoustic emission, SNR
IR446

Microfluidics, droplet evaporation and heat transfer research

Minimum input and technical route
Macro MWIR/LWIR L2/L3;T05
target output
Temperature fields, interfaces and evaporation curves
Implementation
Requires macro calibration
critical acceptance
Compare with true microscopic/temperature values
IR447

Infrared camera NETD, dead pixels, stability and MTF testing

Minimum input and technical route
Blackbody/standard target L5;T01+T03
target output
Camera Performance Metrics and Uncertainty
Implementation
Need to test tooling
critical acceptance
Repeat testing to applicable standards/specifications
IR448

Infrared algorithm public data benchmarks and reproducible experiments

Minimum input and technical route
public data;T20
target output
Fixed divisions, metrics, code versions and limits
Implementation
Executable research verification
critical acceptance
Hashes, environments, random seeds and full logs

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

Scientific research, metrology, experimental equipment and educational 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

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.