How to capture images and video on the beaglebone – I do this using Open Source Computer Vision (OpenCV) image processing. OpenCV image processing captures image and video data on the BBB (Beaglebone Black) with the help of USB webcams by using python script programming. It is simple tutorial where you can also add effects in the form of black and white image, motion detection, sharp picture etc. I have used opencv library which programs functions of real time computer and machine learning. In this project required tools are Webcam and Beaglebone Black.
Opencv generally used for projects like face recognition bot or a bot that tacks certain objects. Control systems with augmented reality can be achieved like this.There can be a lot of future work and applications for this project. Instead of blue object we can use Haar cascade training and track hand movements. Then we can use gesture recognition so as to control home appliances according to specific hand movements Arduino has redefined cheap home automation. However the way of communicating with Arduino means entering commands from computer or via Bluetooth/WiFi . This project explores the possibility of controlling Arduino by using image processing through the open source platform ‘opencv’.