Embedded Vision refers to the use of computer vision technology in embedded systems. In other words, "embedded vision" refers to an embedded system that extracts the meaning behind it from the visual input. Embedded vision involves two technologies: embedded systems and computer vision (sometimes referred to as machine vision). Embedded systems can be any microprocessor-based system that does specific work and is everywhere, and due to the strong demand for Industry 4.0 manufacturing, it is increasingly used in machine vision, intelligent security, automotive assembly and inspection, industrial monitoring, and a variety of common consumer electronics products.

Forward-looking Industry Research Institute: At present, the largest application area of machine vision: electronics and semiconductors, high-performance, precision professional equipment manufacturing field machine vision applications are very extensive, more typical is the world's first to drive the rise of the entire machine vision industry semiconductor industry, from upstream wafer processing and manufacturing classification cutting, to end circuit board printing, patching, all rely on high-precision visual measurement for the guidance and positioning of moving parts. In the international market, the semiconductor manufacturing industry's demand for machine vision accounts for 40%-50% of the industry's market demand. Drones, augmented reality/virtual reality (AR/VR) and other consumer electronics applications offer tremendous opportunities for developers of embedded vision solutions. Drones integrate intelligent sensors and systems that extend computer vision and machine learning capabilities. Some notable features of high demand include "Follow Me" and "Point of Interest". These features enable the drone to automatically lock moving objects. Another strong trend is the emergence of some useful use cases for AR/VR outside of gaming, which attract only relatively small segments. An example of a more appealing use case is the use of VR to watch live sporting events. The combination of 360-degree photography and directional audio, transmitted in real time over the high-speed 5G Internet, provides a fully immersive experience, just like being in the field. In addition, smart home applications such as lighting, heating, and air conditioning may use similar features and add image sensors. Eventually, these cameras will replace traditional physical controllers.

In addition, microprocessing, semiconductor timely and machine vision technology with the spiral: microprocessor, semiconductor technology is the origin of machine vision, in the general computer integration of machine vision system, involving lighting, imaging, image digitization, image processing algorithms, hardware and software and other multi-door technology, technical personnel put forward higher requirements. With embedded machine vision systems, hardware and software configurations are flexible and development environments and programs are more common. Easy production and line expansion, so that the flexibility of production has been greatly improved.

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