Autonomous Trash Collector Based on Object Detection Using Deep Neural Network

Shamima Hossain, Bidya Debnath, Adrita Anika, Md. Junaed-Al-Hossain, Sabyasachi Biswas, Celia Shahnaz

Abstract: Non-biodegradable product usage and ignorance towards proper disposal are creating the problem of ever-growing trash stacks. An autonomous mobile trash collector which collects trash lying on ground in a trash-container attached to it can be a feasible solution to the problem. In this procedure trash detection is done via deep learning algorithm. An ultrasonic sonar sensor on the robot detects object along the path and a camera module sends pictures of the object to raspberry pi for classification into trash or not trash. The prototype robot is of low-cost and can detect a wide range of trash with high accuracy. Therefore has good environmental as well as economic impact.