Project

Smart Pharmacist For Visually Impaired

Reading is essential in today’s society. Printed text is everywhere in the form of reports, receipts, bank statements, restaurant menus, classroom handouts, product packages, instructions on medicine bottles. The ability of masses who are blind or have significant visual impairments to read printed labels and product packages will enhance independent living and foster economic and social self-sufficiency. Lot of technologies has been emerged to help visually impaired. For example Obstacle detection, assistance in the supermarket, identification and location of people,navigation. In this system we propose an algorithm to assist them to identify the labels on a medicine strip. It uses a mono camera to extract the intended information’s such as tablet name and manufacturing date from medicine strip which will assist visually challenged people for medication. The system consists of three phases: data capture, data processing, and audio output. The data capture component collects scenes containing medicine strip in the form of images. The data processing component works with the proposed algorithms to transform image-based text information into readable text. The audio output component is to inform the blind user by converting it into speech output. This system is tested with bristle type medicine strips and the system gives better results in different cases like different background color, different font size and different layout