Nowadays, there are many different types of devices to assist or help people more proficiency because of the improvement of the modern technologies and researches. Tracking and avoiding the real time object becomes the important concept in computer vision. Therefore, the implementation of obstacle avoidance mobile robot based on its color and area is presented in this paper. The mobile robot consists of pi camera module, rechargeable lithium-ion batteries, DC motors and four wheels. Pi Camera is used to capture live streaming surrounding the robot. The captured images of the object are processed with raspberry pi by using OpenCV library. The obstacle detection is performed by using Blob Detection method and YCbCr color system. After detection, the color, size and location of the object can be used to avoid it. The variation in horizontal and vertical axis of detected object is sent to the controller depending on the change in position of object and proper commands are given to the robot to avoid the obstacle.