Object Detection and Human Identification using Raspberry Pi

The aim of this paper is to investigate the development of a navigation system for blind and visually impaired people along with human identification. It is based on a microprocessor with synthetic speech output. This solution is designed to give details about human whomever they encounter. The proposed system detects the any obstacle in the path of the blind via stereoscopic sonar system using ultrasonic waves and sends back vibro-tactile feedback to inform the blind about its localization. And if there is an obstacle and then the second system kicks into to check whether the obstacle is human or not, and if proven human, it matches with the existing system database to find out the person details and provide it to the user. Face Detection is an important step in any face recognition systems, for the purpose of localizing and extracting face region from the rest of the images.