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AI Robotics and Autonomous Navigation (3 อ่าน)
22 ต.ค. 2569 15:22
<h3 data-pm-slice="1 1 []">Robots need to interpret their surroundings before deciding how to move or respond. AI inference can help detect people, recognize objects, identify obstacles, and support visual perception.</h3>
The RK3588 combines neural network acceleration with general-purpose CPU processing, making it a candidate platform for service robots, inspection robots, mobile robots, and other embedded robotic systems.
Developers can integrate cameras, sensors, motor controllers, and communication interfaces according to the carrier board design. For navigation systems that require strict real-time control, safety functions, or advanced sensor fusion, additional controllers and dedicated safety mechanisms may still be necessary.
<h3>Smart Cameras and Intelligent Video Analytics</h3>
Traditional cameras mainly capture and transmit video. AI-enabled cameras and video gateways can analyze visual information locally to identify relevant events.
With its NPU and dedicated video processing capabilities, the RK3588 can support edge analytics such as object detection, people counting, occupancy monitoring, and selected security-monitoring tasks when the software and models are appropriately optimized.
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