Machine Vision & Perception
Machine vision enables machines to capture, process and understand visual information. Modern systems combine cameras, optics, lighting and 2D or 3D sensors with conventional image processing or artificial intelligence. This hub explores automated inspection, defect detection, object recognition, visual quality control and perception systems for robots and industrial automation.
Articles on this topic
Machine Vision and Machine Perception: When Machines Begin to Understand Their Environment
For many years, machine vision was primarily associated with factory automation. Cameras inspected components, read codes or verified that products had been assembled correctly. Today, the technology is expanding far beyond conventional industrial image processing. Modern systems do not merely…
Robotics and Physical AI: How Intelligent Machines Perceive, Decide and Act
Robotics and artificial intelligence are becoming increasingly interconnected. Conventional robots usually perform clearly defined movements in structured environments. Systems based on Physical AI are intended to perceive their surroundings, interpret situations and adapt their behaviour when…
Machine Vision with AI: How Machines Understand Images and Automate Processes
Machine vision describes the automated acquisition and evaluation of visual information by technical systems. Cameras, optics, lighting and image-processing software work together to detect objects, features and operating conditions. Artificial intelligence has significantly expanded the…