Visual, navigation and communication aid for visually impaired person

The loss of vision restrained the visually impaired people from performing their daily task. This issue has impeded their free-movement and turned them into dependent a person. People in this sector did not face technologies revamping their situations. With the advent of computer vision, artificial intelligence, the situation improved to a great extent. The propounded design is an implementation of a wearable device which is capable of performing a lot of features. It is employed to provide visual instinct by recognizing objects, identifying the face of choices. The device runs a pre-trained model to classify common objects from household items to automobiles items. Optical character recognition and Google translate were executed to read any text from image and convert speech of the user to text respectively. Besides, the user can search for an interesting topic by the command in the form of speech. Additionally, ultrasonic sensors were kept fixed at three positions to sense the obstacle during navigation. The display attached help in communication with deaf person and GPS and GSM module aid in tracing the user. All these features run by voice commands which are passed through the microphone of any earphone. The visual input is received through the camera and the computation task is processed in the raspberry pi board. However, the device seemed to be effective during the test and validation

An assistive mobile system supporting blind and visual impaired people when are outdoor

In this paper we present the TARSIUS system, based on mobile technology and aimed at enhancing visually-impaired and blind people's capabilities in visual scene understanding and geolocation while are outdoor. The system components are the TARSIUS app for mobile devices, a web server, and the Remote Assistance Center. Its interface is optimized for the perceptual characteristics of its users. Moreover, the TARSIUS navigation sub-system not only leverages the GPS system, but also Bluetooth LE/iBeacon tags placed along the streets at points of interest and dangerous paths and areas