Object detection and path finding using monocular vision

This project consists of a prototype of an autonomous robot that picks up the desired object (red can) solely based on camera vision. A robotic clamp and a camera are mounted on it. All the information is transferred wirelessly up to distances of 100 ft. The processing of the image is done on an external computer using software like OpenCV, Python and Microsoft Visual Studio. Using samples and regression analysis, the distance of any pixel and the width of any object can be found. After obstacle detection, a suitable path is chosen. All movement is controlled by PIC microcontroller with the help of RF transmitter-receiver modules. It is best suited for non-textured, flat surfaces with little or no movement in the foreground.