Under the trend of Industry 4.0, artificial intelligence (AI) vision technology has become an indispensable core technology in the manufacturing industry. From product inspection, quality control, robot guidance to intelligent automation, AI vision technology can significantly improve production efficiency, reduce labor costs and improve quality stability.
KW ROBOT Automation Equipment Co., Ltd. focuses on the integration of AI visual inspection technology and robot applications. Through deep learning, image recognition, 3D vision and intelligent decision-making algorithms, it provides efficient and reliable intelligent vision solutions for various industries.
What is AI Vision Technology?
AI vision technology combines machine vision and artificial intelligence (AI) algorithms to automatically analyze and identify image information through high-resolution industrial cameras and deep learning models. This technology can simulate human visual judgment ability and surpass the limitations of the human eye in speed, accuracy and stability.
The core of AI vision technology includes:
✅ Deep Learning — Use CNN (such as YOLO, Faster R-CNN, EfficientNet) for object recognition and classification.
✅ Image Processing——Use OpenCV and HALCON for image enhancement, edge detection, geometric analysis, etc.
✅ 3D Vision——Create 3D models through stereo cameras or laser scanning to improve recognition accuracy.
✅ Real-time data analysis - Integrate IoT and database to provide production monitoring and quality trend analysis.
Application scenarios of AI vision technology
1. Automated quality inspection (AOI inspection)
Challenge: Traditional manual inspection is easily affected by human factors, has a slow inspection speed, and a high misjudgment rate.
Solution: AI vision systems can accurately identify soldering defects on PCB circuit boards, product surface flaws, etc. through deep learning, and automatically classify defective products.
🔹 Real-time inspection High-resolution Basler industrial cameras paired with AI models enable fast and accurate quality inspection.
🔹 The intelligent learning system can optimize the accuracy of defect recognition through AI training and adapt to different product needs.
🔹 Reduce labor costs, reduce reliance on manual inspection, and improve production line stability.