Grain moisture content NIR/SWIR return
- target output
- Moisture content and confidence interval
- Implementation
- Need drying method true value
- critical acceptance
- Cross-variety/batch external validation RMSE
Enterprise application areas D44
Infrared vision development services for grain, oil, beverage, brewing and powder
Targeting equipment manufacturers, system integrators and enterprise R&D related to "grain, oil, beverage, brewing and powder", 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 numberD44
Demand scenario8 items
main inputNIR/SWIR L5; multi/hyperspectral L5;
Typical routeT12、T13、T05、T04、T19
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
Spectral sorting of grain mildew, insect damage and foreign matter
- Minimum input and technical route
- Multi/hyperspectral L5;T13
- target output
- Categories, abnormal particles and sorting signals
- Implementation
- Need experts/test true value
- critical acceptance
- Recall and missing score rate for each category
Grain pile surface self-heating and dew condensation monitoring
- Minimum input and technical route
- LWIR L2/L3；T05
- target output
- Hot zones, warming trends and condensation candidates
- Implementation
- Need deep probe
- critical acceptance
- Discover advance; do not substitute surface for internal temperature
Beverage filling temperature and liquid level thermal boundaries
- target output
- Container, level and temperature
- Implementation
- Requires packaging verification
- critical acceptance
- Liquid level error, temperature P95, beat
Fermentation tank surface temperature and stage abnormalities
- Minimum input and technical route
- LWIR L2/L3；T05
- target output
- Temperature distribution, phases and deviations
- Implementation
- Need process truth value
- critical acceptance
- Compare with tank temperature/batch record
Observation on joint control of dryer material moisture content and outlet temperature
- target output
- Aqueous agents, temperature and fluctuations
- Implementation
- Requires multi-source calibration
- critical acceptance
- Compare with moisture meter/laboratory true value
Powder agglomeration, wet mass and mixture spectrum anomalies
- Minimum input and technical route
- SWIR/Hyperspectral L5;T13
- target output
- Abnormal clumps, categories and areas
- Implementation
- Product spectrum data required
- critical acceptance
- Exception Recall, minimum clump
Oil Oxidation, Blending and Quality NIR Spectroscopic Study
- Minimum input and technical route
- NIR/SWIR spectrum L5;T13
- target output
- Quality/Blending Regression Candidates
- Implementation
- Need chemical truth value
- critical acceptance
- Blind test RMSE, batch/temperature migration
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
- Project input confirmationCheck camera, spectral band, bit depth, SDK, environmental conditions, sample and acceptance true value.
- Sample verificationVerify key processing links, applicable conditions and abnormal working conditions, and determine the development scope and acceptance methods.
- Algorithm development and integrationImplement data parsing, algorithms, quality gating, interfaces and target platform deployment.
- 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
xuzhiyang0928@gmail.com
Define the Development Scope with Samples and Device Requirements
Infrared vision development services for grain, oil, beverage, brewing and powder
Please describe the task object, original picture or video, target indicators, device platform, interface and sample situation.
Phone: 13910119357xuzhiyang0928@gmail.com