Computer Vision vs Machine Vision Two really cool technologies that are changing the way we see the world around us. These are vision systems cameras and computer algorithms that help machines “see” and understand their environment
Machine vision is when you give machines “eyes” so they can see the way human beings do. It teaches machines to “see” — identifying objects, patterns, colors and shapes. In self-driving cars, for example, machine vision can help them navigate the road by identifying traffic signs and pedestrians. It could also be deployed in factories to look for defects in items, or to ensure robots assemble things accurately.
Machine Vision vs Computer Vision While machine vision can be used interchangeably with computer vision, there are some distinct differences. Machine vision cameras is predominantly geared toward industrial uses, while computer vision encompasses areas like facial recognition, augmented reality and medical imaging. Both technologies rely on cameras and artificial intelligence, but their focus and application is what differs.
Computer vision has advanced a lot since it was introduced. Computers, in the past, could only see shape and color in concrete. But progress in artificial intelligence and deep learning means that computers can now identify faces, objects and even emotions. This is transforming fields like healthcare, security and entertainment.
Machine vision is in use across numerous industries with positive impact on efficiency, accuracy, and human safety. Machine vision is also used in the production or manufacturing area to inspect products for defects or blemishes and confirm the quality of such machine vision camera products. On the farm it could help farmers track the growth of crops and even sense the presence of pests. Healthcare In health care, machine vision is used for diagnosis of diseases and medical imaging.
With all the advancements that are following, machine vision and computer vision trends are changing in an equal pace. One of the most recent is the 3D Imaging in machine vision, the machines have the ability to see depths and spatial knowledge. Another exciting development is combining machine vision with other technologies - robotics, drones and the like - for additional efficiency and automation.
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