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10 BRINGING INTELLIGENCE TO THE EDGE Figure 3: General process of deep learning in computer/machine vision. (Source: Renesas Electronics) Case Study: Agricultural Plant Disease Detection Vision AI and deep learning may be employed to detect various anomalies—for example, detecting plant disease. Deep learning algorithms—one of the AI techniques—are used widely for this purpose. According to research, computer vision gives better, more accurate, faster, and lower-cost results compared to the costly, slow, and labor-intensive results of previous methods. The process that is used in this case study can be applied to any other detection. There are three main steps for using deep learning in computer/machine vision (Figure 2). Step one is performed on normal computers in the lab, whereas step two is deployed on a microcontroller at the endpoint, which can be on the farm. Results in step three are displayed on the screen on the user side. Figure 3 shows the process in general. Conclusion We are experiencing a revolution in high-performance smart vision applications across a number of segments. The trend is well supported by the growing computational power of microcontrollers and microprocessors at the endpoints, opening up great opportunities for exciting new vision applications. Renesas Vision AI solutions can help you to enhance overall system capability by delivering embedded AI technology with intelligent data processing at the endpoint. Renesas's advanced image processing solutions at the edge are provided through a unique combination of low-power, multimodal, and multi-feature AI inference capabilities. Take the chance now and start developing your vision AI application with Renesas Electronics. ■ Offline training and testing models use a huge image type data set Applying the model to a real-world sample image to detect its case based on the tested model from phase 1. Display results and analysis, in addition to predictions and suggested solutions. Figure 2: Three main steps for using deep learning in computer/machine vision. (Source: Renesas Electronics)