Vision on Way
Physical activity or exercise can improve your health and reduce the risk of developing several diseases like type 2 diabetes, cancer and cardiovascular disease but it’s harder for blind and visually impaired people to walk and exercise freely in parks and jogging tracks on their own. There are several barriers that often prevent people with impaired vision from engaging in physical activities. They include: Lack of motivation, energy, and fear of getting hurt, Lack of information to helpful resources, trouble learning new physical activities, that’s where our idea comes in Vision onWay. It is a mobile application that will help visually impaired people to keep them on track while exercising and walking. It will detect path using image processing and send a voice alert if they are getting off track or find any kind of obstacle in their following path. We will use (CNN Algorithm) a deep learning technique for lane and obstacle detection Our application will have audio described workout videos. They will follow those videos and burn calories according to no of sets done. It will contain fitness features like step counter, calories burned count, distance covered and time counter etc. Application will display current result after every walk and exercise, and monthly progress at the end of the month.
Project Features
1.Vision onWay will ensure the fitness of blind people.2.User can create their fitness profile
3.Users can check their BMI
4.App will detect path and generate voice alert if user will getting out of path during walking
5.At the end of walking, time, distance and burned calories will display.
6.App has audio described workout videos
7.After workout no of sets done and calories burned will display.
8.User can check their monthly progress.
Tools and Technology
Dart, Flutter, Firebase, Visual Studio, Deep Learning, Tensorflow, Python, Jupyter Notebook, Adobe Illustrator,- Supervised by: Ms. Tehreem Qamar
- Student Name: Aqsa Bano, Khola Ausaf,Komal Bakhtiar,Tarooba Faheem
