Deep learning-powered industrial visual inspection system. Using high-speed industrial cameras and advanced AI algorithms to automatically detect surface defects, dimensional deviations, and assembly anomalies β replacing manual inspection and dramatically improving yield rates and efficiency.
From model training to deployment β building end-to-end intelligent visual inspection capabilities.
Identifying 30+ types of surface defects including scratches, pits, stains, and bubbles across metal, plastic, glass, and other materials.
Sub-pixel precision non-contact measurement supporting length, angle, arc, area, and multiple dimensional parameter auto-detection.
Detecting part presence/absence, orientation correctness, assembly sequence, and positional accuracy to ensure product assembly quality.
Innovative few-shot training technology β quickly train models with minimal defect samples, solving the industrial challenge of scarce defect data.
Recognizing product surface text, barcodes, and QR codes with auto-linked traceability information, supporting multiple languages and fonts.
Auto-statistics of defect types, quantities, and distribution trends with quality report generation and SPC process control analysis.
Industrial Camera + Lighting
Enhancement / Crop / Calibration
GPU-accelerated Deep Learning
OK/NG + Sorting Signal
Built on NVIDIA Jetson / Tesla platforms β sub-50ms per-item inspection to meet high-speed production line real-time detection requirements.
Innovative training methods β 10β50 defect samples are enough to achieve high accuracy, no large annotated datasets needed.
One-stop solution including camera, lighting, industrial PC, and software β out-of-the-box, ready for production.
Online learning mechanism continuously accumulates production data, optimizing model accuracy over time and adapting to product changes.
Book a visual inspection demo and experience high-speed, precision AI quality inspection.