Abstract- The object detection system for mobile robots is a device that uses YOLO and OpenCV’s contour methods to detect an object and calculate the distance between it and our device. The main purpose of this model is to clean the floor as and when it is moving as it has a mop attached to it that can be detached, cleaned and reattached. The device detects an obstacle in front of it at a suitable distance and turns from its current path to avoid collision. Not only is this model very useful but ours is comparatively very cost efficient. It is much simpler and affordable compared to its contemporaries already present in the market
References - https://github.com/allanzelener/YAD2K
https://www.analyticsvidhya.com/blog/2018/12/practical-guide-objectdetection-yolo-framewor-python/
http://www.robotplatform.com/knowledge/Classification_of_Robots/wheel_control_theory.html