QuickSense

The team was inspired by patients at the Canadian Hellen Keller center who called for more innovations in technology targeted towards individuals with special needs. They felt current technology was not accessible for those who were deaf or blind; this is where the project, QuickSense, comes in. QuickSense is a glove designed for individuals who are blind or partially sighted to aid them in finding everyday objects around the house, such as a spoon or fork. The glove is equipped with a camera module and a Raspberry Pi microcomputer running an object recognition algorithm backed by OpenCV. We found that the Raspberry Pi posed the most challenges, from the camera module not being recognized to the piezo not producing any sound. However, we were able to come out of these tense situations better equipped to debug future problems. Currently, the glove can detect 4 objects; however, we intend on expanding the number of objects in the continued development of our product. Furthermore, we hope to add voice recognition to allow the user to search for specific items more efficiently. We hope to achieve our goal of making accessible technology in order to improve the lives of those with special needs and to foster a more accessible community.

Built With

• camera-module
• opencv
• python
• raspberry-pi