Inspiration
Our main inspiration was the danger of subway systems. Subways crimes are drastically increasing every year; one of the most used transportation systems is becoming unsafe. With the common occurrence of these crimes, the subway systems brought our incentive to improve the safety of its customers.
However, after realising that subway crimes were scarce except in New York, we decided to target the general incidents of abuse. Ideally placed in public areas such as restaurants, parking lots, and more, the Gesture Camera is our solution to abuse.
What it does
Captures
Gesture Camera detects the hand gesture, a quick movement of opening and closing the hand. This gesture will be used in immediate situations of danger where the victim is unable to or has difficulty getting help.
Alerts
The camera then secretly alerts the police, so they can track the location of the victim and bring them to safety as soon as possible. This procedure allows the victims to signal for help without the attention of the abuser.
Protects
Gesture Cameras are to be placed in public areas to protect people from all forms of abuse.
How we built it
With the use of python and mediapipe, we were able to make computers easily recognize the difference with each hand movement and distinguish the one in need.
Mediapipe was used to track hand movements. Python was used for coding the corresponding text, sending ‘Help!!!’ to the police, and taking a screenshot of the victim's current state of making the hand gesture.
Challenges we ran into
While we hoped to create an innovative idea that would reduce the quantity of abuse, we had to consider our skills and ability when constructing our vision and preferred platform.
Accomplishments that we're proud of
We're proud of our coding journey of making the computer recognize the hand, and capturing a screenshot of the designated hand gesture as they were evident milestones to our project.
What we learned
Mediapipe was a new concept for most of the team members, so we were able to learn mediapipe through making our project. We also learned how to detect movement, trace images and work with videos.
What's next for Gesture Camera
Currently, our system only supports the left hand, so in the near future, we will include the right hand for more accessibility. Since hand gestures can become limited in extremely crowded spaces, we wish to implement facial recognition to improve others' safety.
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