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The autonomous vehicles segment has recently seen a tremendous growth, all thanks to computer vision. Classifying and detecting objects, signs, humans, other vehicles on the path, marking 3D maps, real-time traffic insights, etc., are a few research advancements in the field of computer vision.

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Animal monitoring with computer vision is a key strategy of smart farming. ML uses camera streams to monitor the health of specific livestock. Smart vision system aim to analyze animal behavior to increase productivity, health and welfare of animals and thereby influence yields and economic benefits in the industry.

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The sensors detect the temperatures of objects and display them as thermal images, with red being the warmest areas and purple the coldest.