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There is a lot of garbage in the world and it needs to be cleaned up. Janitors clean up garbage in cities, but this is ineffective. That’s why I designed and assembled a working model of the industrial cleaning robot Robotrack, which can clean up garbage autonomously using machine vision. The product of the project is the MVP robot model. I designed a robot in software Kompas-3D. I have developed a tracked platform, tracks and calculated the power plant. I have developed a mechanism for quick change of brush heads, dumps, augers. I have also developed a 3-axis robotic arm for moving garbage. I implemented machine vision on mini-PC platform Raspberry Pi 4 with web-camera using open source library OpenCV. I wrote a Python script that controls movement and transmits control information to the Arduino. The Arduino is a slave device that receives information from the Raspberry PI4 via USB port and controls the motors and sensors directly. Аt the manufacturing stage, I milled the chassis of a tracked platform made of 10mm plywood on a CNC machine. I printed out all the other details on a 3d printer. I used a brushless motors from a gyro-scooter as a power unit and a lithium polymer battery (10S1P 5000mA). At the moment, I have programmed the robot to recognize colors using machine vision. The Robotrack can move along any colored line or follow a colored marker such as a laser pointer. I see a huge potential for using my industrial cleaning robot in cities and towns. The Robotrack will be able to automatically provide clean urban space, without human help, without polluting the environment with harmful emissions. The clean Smart City is beautiful and safe! For details, please contact me by e-mail ggeorge3d@ or telegram
