Smart Glass

Job ID: 33373122

Budget: $15 – $25 USD

i'm creating a smart glasses for blind people this glasses suppose to detect the
objects and avoid them using stereo vision. Now i write the code for calibrating
the cameras, rectifying, disparity map and point clouds. I have detected the
objects using YOLO algorithm now i couldn't figure the code to avoid the objects.
So, my first question how the code should be written i want to use some of the
characteristics of stereo vision when writing the code for avoidance part.
second, what is a reliable way to detect objects without using ready algorithms.
third, how i can differentiate between an open door and closed door.
fourth, how i can determine whether a seat is empty or not.
Related categories: Python OpenCV Computer Vision Deep Learning