Inspiration
With growing technology come growing dangers. Many identity thefts and hackers can easily bypass rudimentary security and access your information. In order to prevent this from happening, we have integrated a two-step process
What it does
Our software takes multiple inputs, including live camera feeds and the user's name.
How we built it
We built it using our prior knowledge and we referenced some GitHub sites and Stack Overflow sites.
Challenges we ran into
Lack of sleep Inefficency
Accomplishments that we're proud of
We got our code up and running and we were able to filter and recognize a simple human face.
What we learned
We learnt that Python is a very versatile coding language with many uses and is a great coding language for deep learning and neural nets.
What's next for Picture Recognition
We will take it a step further by identifying and matching images to those in our database. We will also include a neural net to see how likely the object matched is similar or the same as the ones in our repository.
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