Computer vision in quality control involves the use of artificial intelligence (AI) and image processing technologies to inspect and analyze products for defects. This AI-driven approach enhances manufacturing quality assurance by automating visual inspection processes.
By leveraging deep learning models and high-resolution cameras, computer vision systems can detect flaws such as surface defects, misalignments, and inconsistencies in real-time. These systems improve accuracy, reduce human error, and enable faster production lines without compromising quality.
Computer vision is widely used in industries such as automotive, electronics, and pharmaceuticals to ensure product consistency and compliance with industry standards. Its integration with robotic automation and smart manufacturing systems further enhances efficiency and operational excellence.