Industrial Vision Inspection
The full pipeline from capture to deployment — making industrial QC intelligent
Workflow
Data Capture
Multi-source capture for image, audio, text, structured, and sensor data
Data Labeling
Bounding boxes, semantic segmentation, 3D point clouds, keypoints, and classification
Training
Algorithm selection by goal and data features — regularization and early stopping against overfitting
Deployment
Three forms: on-premises, edge, and hybrid cloud
Customer Cases
Auto-parts missing / misplaced detection
Real-time monitoring, auto-detection, and alarming replace inefficient manual checks.
USB port scratch classification
High-precision algorithms classify scratch and dirt defects.
Precision auto-part defect detection
Four-light-source optical setup + edge-computing all-in-one; recognizes 23 defect types across 20+ models.
Smart highway maintenance
Vision AI engine + intelligent patrol equipment; one-file-per-road defect database.
Smart-site hard-hat detection
Precise recognition of missing hard hats in complex environments with real-time reporting.
Flame detection system
CNN-based automatic fire detection and early warning from images and video, with source localization.
Deployment
On-Premises
Full data control — ideal for finance, government, and other high-compliance scenarios; GPU/TPU clusters support high-concurrency inference.
Edge Deployment
Inference pushed to the terminal for millisecond response; ARM/x86/NPU support, containerized and cross-platform.
Hybrid Cloud
Public-cloud elasticity + private-cloud security; cloud disaster recovery cuts RTO to minutes.