Inspiration
Autonomous vehicles are the future but their adoption is slow and hence we wish to make this transition smoother and less expensive for the end user.
What it does
- Dynamic traffic lights: To save time, fuel and reduce congestion
- Road signal detector: To give non-autonomous cars the ability to assist safe driving by detecting road signals
- Drowsy detection software: For combating drowsy driving in non-autonomous cars without altering the car
How we built it
Python, PyTorch, Jupyter and YOLOv5
Challenges we ran into
Setup challenges. Have difficulties configuring YOLOv5 and gathering good data. We also ran into deployment challenges in real time deployment however, we were able to overcome them.
Accomplishments that we're proud of
A working model for each of our three solutions. Learning more about autonomous policies and ethics.
What we learned
Autonomous policies and ethics.
What's next for Smart Traffic Suite
Real time deployment with the help of Gov and traffic law enforcement.
Log in or sign up for Devpost to join the conversation.