How is computer vision used in manufacturing?

Computer vision systems cover various use cases and operational scenarios. These include, for example, product design, automated product assembly, quality inspection, predictive maintenance, inventory management, supply chain traceability, and safety monitoring.

How reliable are computer vision systems in manufacturing?

Thanks to modern deep learning algorithms and neural networks, computer vision systems for object or anomaly detection and other manufacturing-related tasks have achieved close to 99% accuracy, as reported by SAS.

What is the difference between computer vision and machine vision?

While they partially overlap, computer and machine vision diverge in terms of focus. Computer vision represents a broader field that includes tools and techniques to capture, process, and understand visual inputs for both analytical and practical purposes. However, the emphasis is on advanced cognitive skills, data analytics, and decision-making. Machine vision is a more specific term referring to the use of vision systems for industrial or manufacturing applications, including inspection, quality control, and automation. Machine vision uses specialized hardware and software to capture and analyze visual data in real time, such as measuring dimensions, detecting defects, and identifying patterns.

Computer Vision in Manufacturing: 9 Use Cases, Solution Framework, Challenges & Best Practices