We want to prevent mass shootings and the more guns there are the more danger society is in.
What it does
Security system that detects possible danger which is alerted and prevented before violent situations occur.
How we built it
Using Python, Azure, and Twillio to design audio, visual, and facial features implying danger.
Challenges we ran into
Connecting all aspects into one program, using webcam to identify the situation, and troubles with the trigger key algorithm.
Accomplishments that we're proud of
Collaborating to accomplish three vital aspects of the security systems.
What we learned
How to navigate through Twillio, Nod-Red, and Azure.
What's next for DAP (Detect, Alert, Prevent)
Detected alarming sounds, more accurate scoring system for facial recognition, being able to identify objects, such as a gun, hidden under or in other objects like a backpack.