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At its simplest definition, embedded vision is the merging of computer vision with edge AI. Its implications, however, are far more reaching with the potential to launch wholly new applications and reshape the future of entire industries.
Integrating a camera and a processing board, an embedded vision system provides the benefits of compact size, light weight, low operational cost, and low energy consumption. They are typically built for executing specific applications, which makes the upfront cost relatively high due to customization. Once they are trained, they can perform various techniques such as image classification, object detection, object tracking, semantic segmentation, and instance segmentation to help a computer extract, analyze, and understand useful information from a single image or a set of images. This technology opens up entirely new possibilities.
Integrating a camera and a processing board, an embedded vision system provides the benefits of compact size, light weight, low operational cost, and low energy consumption. They are typically built for executing specific applications, which makes the upfront cost relatively high due to customization. Once they are trained, they can perform various techniques such as image classification, object detection, object tracking, semantic segmentation, and instance segmentation to help a computer extract, analyze, and understand useful information from a single image or a set of images. This technology opens up entirely new possibilities.