Inspiration
Theft in atm's where a lot of money is kept.
What it does
Tells whether a person wears a helmet or not. And allows him to enter the atm only if he doesn't wears a helmet.
How we built it
1.We downloaded many datasheets from KAGGLE. 2.We made 2 classes in Teachable Machine (by google). 3.We uploaded the datasheets accordingly. 4.Finally we trained the model.
Challenges we ran into
Not recognition whether a person wears a helmet or not by the model.
Accomplishments that we're proud
Finally we made it work by changing the epochs, batch size and learning rate.
What we learned
We have learned to use teachable machine.
What's next for Secured ATM
To make it fully automated using raspberry pi.
Built With
- ai-based-tools
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