Our project is focused on using facial recognition to match photos taken by a user to a database of missing children, to aid law enforcement in finding them and getting them to safety. The application is an IOS app, making it portable and easy to use.
Rates of missing children are rising at an alarming rate. As a result, the exploitation and sex trafficking had risen as well, with over 10,000 exploitation cases in the US reported in 2017 alone.
Our project matches the photo that the user has taken to a database of missing people.
We built our project using swift and APIs with along with a data scraping program. Xcode was the application used to build the majority of our project.
Challenges that we faced included a steep learning curve for Xcode and the language Swift. Only Grace had experience with the two and there's usually not two different things to learn in the same weekend).
We are able to make a data-scraper along with configuring the Waston API to our application for facial recognition.
Xcode, Watson Visual Recognition API, Core ML, Swift
We will further develop it and add more features along with better graphics.
Xcode, python, along with multiple other programs.
Intel® Movidius™ Neural Compute Stick
TBI Pro Gaming Headset
$100 Amazon Gift Cards
Social Entrepreneurship Award
Blu R2 Plus Smartphones
Misfit Shine 2
Raspberry Pi Arcade Gaming Kit