What it does

Our app is a a demonstration of the potential power of security cameras in the event of an Amber Alert situation. The license plate recognition technology can be used to efficiently process all drivers in the area without slowing down traffic. The location tracking mechanic provides instantaneous knowledge of a dangerous suspect's whereabouts. This information can prove useful to both law enforcement and civilians. Showing aspects of machine learning, such as detecting and recording details about a specific car opens the door for much potential in further development.

How we built it

Using the API from Google's Firebase libraries, Machine Learning Kit, the app can snap pictures of license plates and via OCR technology built into ML Kit, convert text in these images into meaningful data. Another API used in this application was Google Maps to provide accurate data of where a suspicious car may be.

Challenges we ran into

Some of the biggest challenges we faced included merge errors while using GitHub and random crashes in Android Studio. Initially, we integrated Clarifai's API into our app in order to detect more details of the car, such as color. However, in the end, file conversion gave us too many problems.

Accomplishments that we're proud of

We successfully implemented Google maps and Firebase ML kit APIs.

What we learned

We learned how to become better at communicating with each other while we worked, which allowed us to work together with GitHub without the risk of accidentally messing up each other's work. We also learned about various different APIs.

What's next for CarTrack

Implement Clarifai successfully

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