https://www.ctee.com.tw/news/20250520701424-431204
In Intelligent manufacturing, achieving real-time, high-accuracy detection of objects across a wide range of sizes is critical to quality control and production efficiency. This challenge becomes more pronounced when dealing with 10K resolution images, where objects ranging from 3μm to 10mm must be identified quickly and reliably.
Our solution integrates AI algorithms, optical modules, and automated mechanical systems to enable real-time detection and classification of over 10,000 objects per minute using only consumer-grade GPUs. It is ideal for applications in semiconductors, biomedical manufacturing, and precision component production.
1. Multi-Scale Parallel Detection Pipeline
Customized model pathways are used for objects of different sizes (small, medium, large), optimizing detection strategies in parallel to ensure accuracy and speed while preserving small object details.
2. Intelligent Object Tracking and Multi-Frame Fusion
Tracking modules aggregate object presence across frames, enhancing the detection rate of minor defects while reducing false negatives and positives.
3. Stable and Repetitive Feeding Mechanism
The system includes a vacuum loader, ionizer, vibration feeder, and mechanical gate system, enabling objects to be repeatedly passed through the inspection zone for higher reliability.
Supports ultra-high resolution imagery (10K)
Detects over 10,000 objects per minute
Handles object sizes from 3μm to 10mm
Automated sorting of normal and defective parts
Compatible with mid-range GPUs for easy deployment
High-resolution raw material and contaminant inspection
Semiconductor wafer and packaging defect detection
Medical consumables and optical component QC
MEMS and precision part manufacturing
This system significantly outperforms traditional manual or low-resolution screening methods, improving both defect detection rates and throughput. It is a key enabler for intelligent and automated manufacturing environments.