In response to the problems of high manual error rate,slow speed and high labor cost on the traditional as-sembly line,a deep-learning assembly line intelligent sorting robot is designed to relieve the pressure on the assembly line.The robot is designed in a hierarchical structure,with the upper computer using Jetson Nano to complete the image acquisi-tion,recognition and processing of the robot,and the lower computer using STM32 G0 as the master control to realize the functional control of the robot through the servo and motor.At the same time,the upper computer and the lower computer interact with each other effectively to realize the robot's grasping and sorting coordination work.In the experimental tests the robot was able to automatically sort different types of objects by learning samples with accurate and efficient recognition.This line sorting robot incorporates computer vision and embedded system,which not only makes the sorting robot more compact,but also helps to improve the productivity level of society and has great application prospects.
assembly line sorting robotdeep learningmachine visionembedded systems
国家科技期刊平台
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