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Renesas 2023 7 E ndpoint AI is a new frontier in the space of artificial intelligence (AI) that takes the processing power of AI to the edge. It is a revolutionary way of managing information, accumulating relevant data, and making decisions locally on a device. Endpoint AI employs intelligent functionality at the edge of the network; in other words, it transforms the Internet of Things (IoT) devices that are used to compute data into smarter tools embedded with AI features. This in turn improves real-time decision-making capabilities and functionalities. The goal is to bring machine-learning-based, intelligent decision-making physically closer to the source of the data. In this context, embedded vision shifts to the endpoint. Embedded vision incorporates more than breaking down images or videos into pixels—it is the means to understand pixels, make sense of what is inside, and support making a smart decision based on specific events that transpire. There have been massive endeavors at the research and industry levels to develop and improve AI technologies and algorithms. What Is Embedded Vision? Embedded computer vision is a technology that imparts machines with the sense of sight, which enables them to explore the environment with the support of machine-learning and deep-learning algorithms. There are numerous applications across several industries whose functionality relies on computer vision, thus becoming an integral part of technological procedures. Revolution of Endpoint AI in Embedded Vision Applications SUAD JUSUF | SENIOR MANAGER RENESAS ELECTRONICS In precise terms, computer vision is one of the AI fields that enables machines to extract meaningful information from digital multimedia sources to take actions or make recommendations based on the information that has been obtained. Computer vision is, to some extent, akin to the human sense of sight. However, the two differ on several grounds. Human sight has the exceptional ability to understand many and varied things from what it sees. On the other hand, computer vision recognizes only what it has been trained on and what it is designed to do exactly, and that too with an error rate. AI in embedded vision processes trains the machines to perform supposed functions with the least processing time and has an upper edge over human sight in analyzing hundreds of thousands of images in a lesser timeframe.