Its a system that helps visually challenged people to detect stray animals on the roads while walking and also help self driving cars to detect strays and thus save their lives.
I wish to protect the stray animals and provide them a secure future even when self driving cars come in place. I also wish to help the visually impaired people in order to lead a normal life.
It differentiates between the background and the stray animal and this helps us to know that there is an animal in front of us.
Using Computer Vision Algorithm - Semantic Segmentation using MobileNet(Unet)
Model Training was the toughest took the most time.
Learnt a new algorithm in order to achieve this.
What is Semantic Segmentation, Unet, MobileNet.
This same methodology can be further used to aid Blind People to get full understanding of a scene and we could further provide speech explanation to them.
This same methodology can also be used for self driving cars to understand the scenes and thus take locomotive actions based on it.
Google Colab, Tensorflow, Python, Github