Inspiration
Not efficient control of traffic in the city
What it does
It counts in real time people and cars and with that information optimize people and car traffic
How I built it
Using python and tensorflow to do inference of R-Mask-CNN and q-learning method
Challenges I ran into
Detect and count people and cars in real time and optimize a q learning method to optimize people and car traffic
Accomplishments that I'm proud of
Build an interdisciplinary team and achieve great results in a short time
What I learned
Integrate cutting edge artificial intelligence methods in the design of smart cities
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