Enterprise Application Area D41

Infrared vision development services for livestock, poultry houses and aquaculture

For "livestock, poultry house and aquaculture" 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 numberD41
Demand scenario8 items
main inputLWIR/NIR L3;LWIR L2/L3;LWIR L3;NIR/LWIR L3
Typical routeT07、T16、T19、T03、T05

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

IR321

Individual detection and night counting of cattle, pigs and sheep

Minimum input and technical route
LWIR/NIR L3;T07
target output
Animal frame, ID, quantity and trajectory
Implementation
Product data required
critical acceptance
Each type of Recall, counting error, occlusion recovery
IR322

Animal surface temperature and left-right symmetry screening

Minimum input and technical route
LWIR L2/L3;T16
target output
ROI Temperature, symmetry and anomaly candidates
Implementation
Need veterinary medicine
critical acceptance
Environment/hair/distance stratification; only for auxiliary screening
IR323

Candidates for Breast, Hoof, and Joint Inflammatory Thermal Abnormalities

Minimum input and technical route
LWIR L2/L3;T16
target output
Local hot spots, contralateral differences and trends
Implementation
Requires clinical/veterinary verification
critical acceptance
Compare with veterinary exam/lab results
IR324

Study on thermal characteristics of estrus, prepartum and stress states

Minimum input and technical route
LWIR L2/L3;T16
target output
Temperature/behavioral characteristics and research metrics
Implementation
Longitudinal study is needed
critical acceptance
Individual baselines, confounders, and statistical power
IR325

Monitoring of poultry house aggregation, thermal comfort and abnormal mortality

Minimum input and technical route
LWIR L3;T07+T19
target output
Density, clustered heatmaps, and unusual events
Implementation
Scenario model required
critical acceptance
Comparison with manual inventory/environmental sensing
IR326

Breeding house ventilation, insulation and equipment thermal status

Minimum input and technical route
LWIR L2/L3;T03+T05
target output
Thermal environment zoning and equipment anomalies
Implementation
Partially reusable
critical acceptance
Compare with temperature and humidity/wind speed
IR327

Surface object detection of fish schools and breeding ponds at night

Minimum input and technical route
NIR/LWIR L3;T07
target output
Fish School/Surface Event Candidates
Implementation
Requires surface/underwater dedicated data
critical acceptance
Water surface reflection/temperature difference stratification, event F1
IR328

Joint analysis of feeding troughs, drinking water and animal activity thermal images

Minimum input and technical route
LWIR L3;T07+T19
target output
Individual visits, stays and unusual behavior
Implementation
Requires individual tracking
critical acceptance
IDF1, access count error

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 livestock, poultry houses and aquaculture

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.