Load Carrier Automation In Industries Using OpenCV With Object Tracking

The face recognition is an important part for the purpose of security and surveillance. Hence there is a need for an efficient and cost effective system. Our goal is to explore the feasibility of implementing Raspberry Pi based face recognition system using conventional face detection and recognition techniques. The information age is quickly revolutionizing the way transactions are completed. There is a need for a faster and accurate user identification and authentication method. Face recognition has become one of the most important user identification methods.

Human face recognition plays an important role in video surveillance, human-computer interface, personalizing different applications. In this project, we present an approach to detect and identify a human face from the real-time video that tracks a face and compares it with stored data of known individuals. Our approach recognizes an individual within a fraction of a second which completely ignores any background effect. It also shows additional information about that individual. Besides, this method also works on different lighting conditions which make it suitable to execute its purpose in a wide variety of environment without encountering any significant error. We have implemented our work using a Raspberry Pi.

Keywords: Raspberry Pi, face recognition, OpenCV.