Enterprise application areas D59

Infrared vision development services for meteorology, atmosphere, clouds, volcanoes and natural phenomena

Targeted at "meteorology, atmosphere, clouds, volcanoes and natural phenomena" 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 numberD59
Demand scenario8 items
main inputTIR multi-band L5; TIR+visible+meteorological L4; specific IR band L5;
Typical routeT14、T08、T13、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

IR465

Satellite cloud top temperature and cloud classification

Minimum input and technical route
TIR multi-band L5;T14
target output
Cloud top temperature, cloud type and mass layer
Implementation
Atmospheric model required
critical acceptance
Compare with authoritative meteorological products/soundings
IR466

Fog, low cloud and road visibility infrared assist

Minimum input and technical route
TIR+visible+meteorological L4;T14
target output
Fog areas, visibility proxies and road risks
Implementation
Multi-source model required
critical acceptance
Compare with visibility meter/site
IR467

Remote sensing of water vapor channels and atmospheric humidity structure

Minimum input and technical route
Specific IR band L5;T14
target output
Water vapor distribution and mass layers
Implementation
Radiative transfer inversion required
critical acceptance
Comparison with sounding/operational products
IR468

High temperature monitoring of craters, lava flows and eruptions

Minimum input and technical route
MWIR/TIR L4/L5;T08+T14
target output
Thermal anomalies, lava extent and changes
Implementation
Requires saturation/atmospheric correction
critical acceptance
Comparison with ground/aerial observations
IR469

Multispectral identification of dust, smoke plumes and volcanic ash

Minimum input and technical route
IR multi-band L5;T13+T14
target output
Plume category, extent and confidence
Implementation
Requires authoritative label
critical acceptance
Each type of Recall, cross-region performance
IR470

Surface frost and nighttime low temperature area monitoring

Minimum input and technical route
TIR L2/L4;T14
target output
Cold zones, duration and risk proxies
Implementation
Ground station required
critical acceptance
Versus site/crop damage
IR471

Infrared time series analysis of thunderstorm clouds and convection development

Minimum input and technical route
Satellite TIR L3/L5;T05+T14
target output
Genting cooling, growth rates and events
Implementation
Need meteorological truth value
critical acceptance
Compare with radar/lightning/business records
IR472

Aurora, atmospheric glow and infrared scientific observations

Minimum input and technical route
NIR/MWIR L3/L5;T13
target output
Luminescence structure, intensity and time changes
Implementation
Need scientific research equipment
critical acceptance
Wavelength/radiation calibration, time synchronization

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 meteorology, atmosphere, clouds, volcanoes and natural phenomena

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.