A cheap guide system based on the AT89C52 microcontroller is developed to facilitate visually impaired people. Ultrasonic sensors are used to calculate the distance of the obstacles around the blind person to guide the user to the available path. The output is in the form of a voice that the blind person can hear, for example, right, left, etc. In its advance mode, the system can recognize objects using image processing algorithms. The results are presented to show the validity and performance of the system.
Typical humans are endowed by nature with the number of senses that make them capable of developing a fine perception of the surrounding world. Unfortunately a number of people for different reasons have lost or deprived their visual sense. In any country the number of people with visual impairment and those with very low vision is significant. This is an important issue between the social and scientific society to find a suitable solution to this problem. Among the disabled, the visually impaired face more difficulties than others in collecting information. For about 70% of information obtained by the human being is through the view. Recent challenges came to the surface with the development of artificial eye prototypes available after 2010. Also, implants for blind people will be available at that time. But these systems will be quite expensive and will not be affordable by an average person. However, there are many systems developed to help visually impaired people, but the purpose of Artificial Vision System for the Blind (AVSB) is to develop a system that is cheap and easy to use. The purpose of AVSB is to help the blind walk like a normal human being and identify objects when required. Until now, character recognition is performed for object recognition purposes. There are two modes in the system: WALK mode and CAM mode. In the WALK mode, AVSB uses the information acquired with the help of ultrasonic sensors to determine the distance of the user's obstacle and guide it to the best possible path thus avoiding obstacles in the way. The CAM mode, in addition to ultrasonic sensors, uses the camera information to facilitate the blind recognition of various objects. In both modes, the user receives information about the route and the object through voice commands. An earpiece connected to the system makes these voice commands available to the user.