Region segmentation and quantification
U-Net, DeepLabV3+, SegFormer or Mask2Former → connected components and morphology → region measurements
Specialized Imaging & Scientific Vision · F22
Optical Gas Imaging Leak-Candidate Recognition
JIVISION offers project development and technical assessment for Optical Gas Imaging Leak-Candidate Recognition. Scope: Gas-plume candidates, movement, persistence and equipment association.
Scope and project-specific requirements
Task / output
Gas-plume candidates, movement, persistence and equipment association
Critical decision conditions
Verify spectral response for the target gas; ordinary thermal cameras are not gas imagers, and concentration requires dedicated calibration.
Candidate technical approach
These are candidate implementation paths. Establish a baseline on real samples, then select or combine methods for imaging, speed and deployment constraints. Model names do not imply measured project results.
Optical flow and point trajectories
Shi-Tomasi/FAST features → LK, Farneback or DIS flow; alternatively TAPIR/TAPNext/RAFT → occlusion and drift handling
Spatial rules and event state machines
Detection and tracking → polygons, crossing, distance, time-to-collision, dwell and hysteresis rules → event state machine
Thermal correction and hotspot analysis
Non-uniformity and bad-pixel correction → radiometric temperature conversion → emissivity/environment compensation → region and background modeling
Inputs for assessment
Provide raw sensor data, spectral bands or imaging modes, calibration files, acquisition conditions, control samples, reference truth and equipment-use constraints.
Deliverables and interface agreement
Result schema, algorithm or processing configuration, example outputs and evaluation records for: Gas-plume candidates, movement, persistence and equipment association. Software format and source-code scope are agreed in the contract.
Specify input formats, output fields, coordinates/units, error states, versions and invocation methods. Define review and failure handling. The statement of work determines the exact scope of source code, executables, model files or analysis reports.
Acceptance method and measures
Task-specific acceptance measures
Leak-candidate recall; false positives; no concentration from uncalibrated video
Validate imaging quality, algorithm output and physical-value conversion separately. Use controls across media, devices, environments and acquisition batches, retaining raw data and parameters.
These are measures to agree and test, not achieved-performance claims. Freeze samples, reference truth, thresholds and hardware/software versions before acceptance; report subgroup results and failures, identifying under-sampled conditions as uncovered.
Implementation and procurement stages
Define scope
Agree targets, stations, inputs and responsibilities in a statement of work, separating required and excluded conditions.
Sample validation
Use representative samples to test critical risks, document feasibility/failures and scope the next-stage estimate.
Development and integration
Implement agreed functions and interfaces with configuration/change records; use offline replay before authorized device or site integration.
Acceptance and handover
Retest against individual measures and hand over contracted artifacts with known limits; manage maintenance, expansion and changeovers as subsequent work packages.
Scope limits and licensing
Specialized imaging depends on sensors and calibration. Confirm equipment permissions, operator qualifications and intended use for radiography, thermography, remote sensing or medical research.
Candidate technologies are not license clearance. Check code, model weights, training data and dependency versions separately. Replace, license or exclude components unsuitable for the intended commercial delivery. Customer data is not used for public training by default.
Project FAQs
What does this service produce?
Gas-plume candidates, movement, persistence and equipment association. Deliverables: Result schema, algorithm or processing configuration, example outputs and evaluation records for: Gas-plume candidates, movement, persistence and equipment association. Software format and source-code scope are agreed in the contract.
What needs to be confirmed first?
Verify spectral response for the target gas; ordinary thermal cameras are not gas imagers, and concentration requires dedicated calibration.
How is acceptance defined beyond a demonstration?
Task-specific measures: Leak-candidate recall; false positives; no concentration from uncalibrated video. Validate imaging quality, algorithm output and physical-value conversion separately. Use controls across media, devices, environments and acquisition batches, retaining raw data and parameters.
How are cost and schedule assessed?
After reviewing samples for gas-plume candidates, movement, persistence and equipment association, equipment conditions and interfaces, scope validation, development, deployment and acceptance separately. Data coverage, site changes and delivery rights affect the estimate; no fixed performance or schedule is promised before assessment.
PROJECT INQUIRY
xuzhiyang0928@gmail.com
Discuss this service for your project
Service ID: F22 · Optical Gas Imaging Leak-Candidate Recognition
Describe available samples, equipment and target measures. Agree confidentiality and permissions before transferring sensitive or personal data through an approved channel.
+86 13910119357xuzhiyang0928@gmail.com