High Resolution Headband Document Scanner and Transmitter for the Disabled People

We attempt to find ways for people who are paralyzed and are in wheelchairs to be able to use a scanner, but the same way everyone can use them. As some individuals may be paralyzed from the neck down, we build a system for them to still be able to scan documents and be part of the office workplace. We employed open-source computer vision techniques in order to develop and design the scanner system software. In addition, machine learning based text recognition open-source tool called Tesseract are used for the OCR module of the system. For the hardware implementation, we mount the components onto a headband including the microcontroller, camera, a flash circuit, and a power supply circuit to charge the battery. The camera component is developed to be able provide a live video feed instead of needing to create a database where the data will be stored. The live video is transmitted wirelessly trough microcontroller to a smart phone application. This application can work on both Apple IOS and Android operating system, and was built using Flutter, a crossplatform app development software using a unique language named Dart. The proposed system can improve the working conditions of the disabled people by providing them an assistive technology to participate in the office workplace.