Enterprise Application Area D13

Additive Manufacturing, Laser Processing and High Energy Beam Process Infrared Vision Development Services

For equipment manufacturers, system integrators and enterprise R&D related to "additive manufacturing, laser processing and high-energy beam processes", 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 numberD13
Demand scenario8 items
main inputMWIR/SWIR high speed L3; MWIR/LWIR L2/L3; MWIR/LWIR L1/L3; MWIR/SWIR L3
Typical routeT17、T05、T02、T19、T03、T10

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

IR097

Laser powder bed melting pool monitoring

Minimum input and technical route
MWIR/SWIR high speed L3;T17
target output
Melt pool size, brightness/temperature proxies and anomalies
Implementation
Requires high-speed dedicated link
critical acceptance
Comparison with CT/metallographic defects, event Recall
IR098

Heat accumulation and thermal field uniformity between additive layers

Minimum input and technical route
MWIR/LWIR L2/L3;T05+T17
target output
Stage temperature, heat accumulation and cooling constants
Implementation
Requires layer number synchronization
critical acceptance
Alignment with build logs, level errors
IR099

Thermal response-assisted detection of powder coating defects

Minimum input and technical route
MWIR/LWIR L1/L3;T02+T19
target output
Candidates for powder shortage, powder accumulation and foreign matter
Implementation
Product data required
critical acceptance
Compare with powder laying diagram/CT after forming
IR100

Directional energy deposition molten pool and powder feeding status

Minimum input and technical route
MWIR/SWIR L3;T17
target output
Melt pool, powder flow hot zone and trajectory stability
Implementation
Need high speed model
critical acceptance
Comparison with section/geometric truth
IR101

Laser cutting punctures, undercuts and slag incidents

Minimum input and technical route
MWIR/SWIR L3;T17+T19
target output
Puncture time, heat traces and failure events
Implementation
Process data required
critical acceptance
Versus incision test, event F1
IR102

Closed-loop observation of laser quenching and surface heat treatment temperatures

Minimum input and technical route
MWIR L2/L3;T03+T17
target output
Temperature field and scanning trajectory errors
Implementation
High temperature calibration required
critical acceptance
Compare with hardness/tissue and temperature measurement true values; perform additional safety verification in closed loop
IR103

Active thermal NDT for additively formed parts

Minimum input and technical route
L5;T10
target output
Porosity/Unfused Candidates and Depth Proxies
Implementation
Reference test block required
critical acceptance
Compared with CT, POD, positioning error
IR104

High energy beam equipment optical path and protective window thermal status

Minimum input and technical route
LWIR/MWIR L2/L3;T03+T05
target output
Protective window/mirror holder temperature rise and contamination candidates
Implementation
Required structural visibility conditions
critical acceptance
Trend advance compared to power/cleaning records

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

Additive Manufacturing, Laser Processing and High Energy Beam Process 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.