Study from implementing algorithms for face detection and recognition for embedded systems

These Face detection and recognition research has attracted great attention in recent years. Automatic face detection has great potential in a large array of application areas, including banking and security system access control, video surveillance, and multimedia information retrieval. In this paper, we discuss the opportunity and methodology for implementation of an embedded face detection system like web-camera or digital camera. Face detection is a widely studied topic in computer vision, and advances in algorithms, low cost processing, and CMOS imagers make it practical for embedded consumer applications. As with graphics, the best cost-performance ratio is achieved with dedicated hardware. The challenges of face detection in embedded environments include bandwidth constraints set by low cost memory, or processor speed and a need to find optimal solution because applications need reliability, and low cost for final solution.