Design and Simulation of Object Detection Based Autonomous Trash Collector Bot

Nowadays, due to the increased population, usage of public places becomes very high. However, garbage is left uncleaned in most public areas. There is no constant survey of the area at a given time so that the waste gets accumulated. The most crowded places like malls and parks remains unclean. This affects not only the environment but also the mindset of the people visiting the places, so the proposed idea provides a great solution to these problems through the following steps. It continuously monitors a given area and detects the presence of garbage in that given area. The live image is then calibrated to detect the distance and to operate the arm to pick up the trash. The picked trash is then thrown in the collector attached at the back of the bot and released when it is full, on the established disposal area. This will help to clean the environment in a drastic way and also in attracting the people to visit the area. The bot will help in reducing the burden of human beings and also provides 24/7 maintenance to the predefined area. For a much larger area using this bot will be the most commercially feasible, the bot will not only be most effective for the above scenario but it will be most commercially effective as well as a viable option as well. This is the main objective for making a bot that does the above function. In this paper, a software has been developed using python with which various items can be identified and can be segregated as trash and not a trash item. The autonomous trash collector robot has been designed using sold works and Roboanalyzer softwares and the results are analyzed.