The Third eye

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  Third Eye was sucessfully tested on a Raspberry Pi

Inspiration

The society seems to be in need of a security system that can track and tag people continuously and update in a database, I thought of a good this idea from my childhood.

What it does

It proactively scans, finds and tries to matches with faces in DB and tries to find a connection. So if a person is a potential threat to the community he/she shall be logged and alerted to the nearby police station

How I built it

I built it with 8 layers of Neural network-based CNN to and saved them to an SQLite DB, which in turn gave me the backend. the frontend was conducted and designed with streamlit

Challenges I ran into

I had a bit of trouble connecting the DB.

Accomplishments that I'm proud of

I made my own neural network, A pleasing frontend and is happy about what I learned with the streamit

What I learned

Streamlit, DB connection in python and enhanced my knowledge on Neural Nets.

What's next for The Third eye

Refactoring testing on multiple platforms and dataflows.

Built With

• jetson-nano
• opencv
• python
• streamlit