Manual inspection of the entire city camera surveillance can be a tedious tasks, I want to automate them.
What it does
How I built it
I built the model using python with pytorch as the training and inference framework for the deep learning models. The model used for instance segmentation is a Hybrid Task Cascade (HTC) Network with ResNet as the backbone.
Challenges I ran into
Accomplishments that I'm proud of
What I learned
What's next for RoboPolice
Adding more of what violations it could detect including some time-series actions.