Abstract:
The blind people and those who have visually impaired are going through difficulties in recognizing things in the surrounding environment and the embarrassment that the blind person receives from asking people.
We aim to create an intelligent system, imitating the human eye, which transfers different scenes and images to the brain. The brain in turn analyzes the images or scenes and based on previously stored information, the surrounding objects are identified. For this purpose, we use a small device that performs similar to the human brain, called "Raspberry Pi"; it is a small device that analyzes the images and scenes with the help of the camera, which moves the images to the small device. Then, the process of analysis begins through long complex algorithms known as the neural network algorithms. This network analyzes the images into parts to compare them with the most important characteristics of the objects in the images related to the database, through which the images are compared. When ensuring that the characteristics match the mathematical equations programmed in the language of Python, the objects in the image are detected. Finally, the sound of each tool in the database is called, and a message is sent to tell the blind about the tools in front of him.
The project aims to help blind people identify the surrounding things around them, which they see through a small camera, the camera is fixed on the glasses, This technique helps to provide job opportunities for the blind, and to identify things easily and conveniently through a voice message sent to an earphone placed on the blind ear to help him find various items easily and independently.so that it helps in searching things and tools easily without help, which saves time and efforts.
