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Raspberry Pi AI Kit - M.2 HAT with 13 TOPS Hailo AI Acceleration Module is an integrated development kit for low-cost artificial intelligence (AI) applications on the Raspberry Pi platform. The kit i…
Read More…Raspberry Pi AI Kit - M.2 HAT with 13 TOPS Hailo AI Acceleration Module is an integrated development kit for low-cost artificial intelligence (AI) applications on the Raspberry Pi platform. The kit includes an M.2 HAT (Hardware Attached on Top) and a Hailo-8 Module, providing AI acceleration performance of up to 13 TOPS (Tera Operations Per Second).
Main components:
M.2 HAT: Is an expansion board designed to connect to the Raspberry Pi via the M.2 interface. It allows modules such as the Hailo-8 to be attached to the Raspberry Pi, providing easy AI computing acceleration.
Hailo-8L Module: This is a powerful AI processing module, designed to handle applications that require high computing power. With 13 TOPS, it accelerates complex AI models, supporting a wide range of applications from image recognition, video analysis to natural language processing tasks.
Advantages High performance: With the ability to process 13 TOPS, Hailo-8L reduces the processing time of AI tasks compared to using only the CPU of Raspberry Pi.
Energy saving: Hailo-8L is designed to deliver high performance but still consumes little power, suitable for embedded applications and IoT devices. Easy integration: The kit supports simple connection to Raspberry Pi via M.2 HAT, helping developers quickly build AI applications without worrying about complex hardware integration. Applications:
Computer vision: Face recognition, object classification, object tracking in real time.
Smart video analysis: Security monitoring, user behavior analysis in different environments.
Embedded AI and IoT: Integrate AI into IoT devices to optimize industrial processes, automate control, and analyze local data.
Raspberry Pi AI Kit - M.2 HAT with 13 TOPS Hailo-8L AI Acceleration Module is a powerful and convenient tool for developers who want to integrate AI into Raspberry Pi-based projects.
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