These public case studies present typical application scenarios, technical approaches and deliverables for vision projects. Customer names and unverified operating data are not disclosed.
Each case explains the problem, system approach, deliverables and evaluation points for project communication.
A visual inspection delivery path for scratches, dents, contamination, missing parts and character abnormalities on metal, plastic and electronic components.
A 3D measurement workflow for height, profile, gap, step, volume and assembly-pose inspection of structural parts.
An edge AI deployment case for production lines, equipment and onsite inspection, covering camera input, model inference, alarm output and platform integration.
A multi-channel video analytics case for factories, campuses and work zones, covering camera access, spatial calibration, object detection, area rules and event alarms.
A robot vision case for feeding, sorting, assembly and handling stations, covering localization, hand-eye calibration, pose estimation and grasp-point output.
A data-loop case for limited defect samples, model stability improvement and multi-batch adaptation, covering collection, annotation, training, evaluation and false-detection feedback.
Scenario pain points, process constraints and project goals.
Imaging, algorithms, platform, interfaces and deployment model.
Software, hardware plan, models, reports, documents and onsite support.
Accuracy, speed, stability, traceability and iteration direction are confirmed by project testing.
Please include the inspection target, sample status, speed and accuracy requirements, onsite environment and expected delivery format.