AI Visual Inspection Platform 2026/09/29

Introductions

The rise of high-mix, low-volume manufacturing poses increasing demands on inspection flexibility. With three decades of experience in smart vision inspection, we integrate traditional AOI with AI technology to develop innovative and adaptable inspection systems, helping manufacturers significantly reduce inspection costs.

Technical Advantages and Features

• Uses AI-based image training to detect complex, abstract defect features such as random wood-grain scratches and chipped spiral gear teeth.
• Overcomes the limitations of traditional visual inspection, including glass transparency and metal glare.
• Enables AI-edge computing without cloud connectivity, reducing latency and enhancing integration with production lines.
• Supports 5G and cloud communication to provide scalable computational power and real-time feedback.
• Detects a wide range of defects across products such as circuits, wood grains surfaces, solar panels, polarizers, plumbing hardware, yarn cones, and contact lenses.
• Supports object detection in applications such as PCB circuits, transportation systems, cultural artifacts, and food products.
• Accurately identifies defect types, including dents, cracks, scratches, stains, pits, and residual glue.

Industrial Applications and Business Opportunities

• Industry Applications
  • Metal Processing, Semiconductor, and Consumer Electronics Industry.
  • Intelligent Factory.
• Application Examples
  • Successfully integrated into a specialized gear inspection system for EV production, reducing inspection time by 50%, tripling daily output, and cutting annual quality control costs by 50%.
  • Partnered with Feng Hsin Steel Company to develop an AI-based magnetic inspection and grinding feedback system for steel billet surfaces, establishing Taiwan’s first continuous casting defect detection and marking system for small billets. The system reduces inspection time by 50% and improves detection accuracy by 10%.