AI Vision Inspection System
Process Features
Solving the Problem of Low Manual Inspection Efficiency and the Inability to Handle Batch Processing
Solving the Problem of High Missed and False Detection Rates for Multiple Defect Types
Advantages & Specifications
Powerful capability for complex defect recognition
AI learns from samples to identify low‑contrast, irregular and reflective‑surface defects which are challenging for conventional vision systems, ideal for glue path inspection of AI glasses.
Strong anti‑interference performance
Higher tolerance against illumination variation, angular deviation, background noise and material reflection, reduces false‑positive & missing detection for mass‑production of high‑precision products.
Closed‑loop data & traceability
Images, defect types and inspection results can be logged and uploaded to MES / SPC system to support yield analysis, process optimization and quality traceability.
Key Performance Specifications
| Project | Parameter |
| Camera | 20MP Color |
| Lens | Focal length 35mm |
| Light Source | White Dome Light |
| Overall Accuracy | ±0.01mm |
| Repeat positioning accuracy | ±0.02mm |
Applications
- Glue path inspection for AI‑glass temples
- Glue path inspection for AI‑glass frames
- Glue path inspection for AI‑glass metal rims
- Appearance inspection for AI server shells
- Glue path inspection for AI server components
- Appearance inspection for AI server components
Start Your Next Mass Production Now
By providing your information, you agree that we may process your personal data for the purpose of conducting activities and related communications. For details, please refer to our Privacy Policy.
