Developing an Android application to assist visually impaired individuals in daily tasks
The app uses object detection technology to alert users of nearby obstacles and identify what it is
It also informs users of the name of the object or person detected through audio using text-to-speech library
Pretrained models used include YOLOv4 trained on COCO dataset and FaceNet model trained on LFW
User can also add custom faces for future recognition in real-time or from gallery. This helps visually impaired individuals identify people they know.
System Architecture App Landing Page in Android Studio Sample Object Detection Using the App
