Enterprise application areas D45

Infrared vision development services for pharmaceutical, biomanufacturing and laboratory automation

For "pharmaceutical, biomanufacturing and laboratory automation" 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 numberD45
Demand scenario8 items
main inputLWIR L2/L3;
Typical routeT03、T05、T04、T13、T07、T16、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

IR353

Study on temperature distribution and endpoint of freeze-drying bottles

Minimum input and technical route
LWIR L2/L3;T03+T05
target output
Bottle-level surface temperature and stage characteristics
Implementation
Equipment window/process calibration required
critical acceptance
Compare with wireless probe/product temperature
IR354

Bioreactor and culture vessel temperature uniformity

Minimum input and technical route
LWIR L2/L3;T03+T05
target output
Surface temperature field and deviation
Implementation
Partially reusable
critical acceptance
Versus internal probe/environment
IR355

Heat-sealable pouches, blisters and sterile packaging integrity

Minimum input and technical route
LWIR L2/L3;T03+T04
target output
Sealing Heat Marks and Defect Candidates
Implementation
Product verification required
critical acceptance
Versus dye penetration/leakage/peeling
IR356

Tablets, Capsules and Powders NIR Composition/Moisture Analysis

Minimum input and technical route
NIR/SWIR/Hyperspectral L5;T13
target output
Composition/moisture regression and batch distribution
Implementation
Need to test the true value
critical acceptance
Methodology validation, external blind testing and drift
IR357

Pharmaceutical Mixture Homogeneity Spectral Imaging

Minimum input and technical route
NIR hyperspectral L5;T13
target output
Ingredients Distribution and Uniformity Indicators
Implementation
Requires recipe truth value
critical acceptance
Comparison with sampling assay, spatial representativeness
IR358

Cold chain pharmaceutical packaging surface temperature screening

Minimum input and technical route
LWIR L2/L3;T03+T07
target output
Packaging temperatures, trajectories and over-limit candidates
Implementation
Product thermal model required
critical acceptance
Compare to recorder/core temperature verification
IR359

Joint study of surface temperature and behavior in experimental animals

Minimum input and technical route
LWIR L2/L3;T07+T16
target output
ROI Temperature, Behavioral and Timing Characteristics
Implementation
Requires ethical approval
critical acceptance
Blind annotation, environmental control, statistical performance
IR360

GMP Infrared Data Integrity, Audit Trail and Model Change Management

Minimum input and technical route
arbitrary;T20
target output
Raw data, parameters, versions and audit records
Implementation
Quality system required
critical acceptance
ALCOA+ data requirements, reproducibility, permission testing

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 pharmaceutical, biomanufacturing and laboratory automation

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.