基于机器视觉应用的无人小车配送系统

Unmanned trolley distribution system based on machine vision applications

为了增强小车的运输的方便性,我们提出了一种以树莓派为控制中心,搭载红外避障、摄像头、电机驱动等模块的智能小车。以Linux系统为开发环境,同时利用Python编程和模型训练实现小车的环境探测。最后,经过实验验证小车无人避障精度提高,物流配送信息传输效果良好,在无人配送方面具有一定实用性。

In order to enhance the convenience of the car transportation, we proposed a Raspberry Pi as the control center,equipped with infrared barrier avoidance, camera, motor drive and other modules of intelligent trolley. The undeveloped environment with the Linux system, while Python programming and model training are used to enable environmental detection of the trolley.Finally, after experiments and verification, the accuracy of the car is improved, the transmission effect of logistics and distribution information is good, and it has a certain practicality in the field of unmanned distribution.