Camera Obscura needs to find ways to map the customer journey. They need to keep track how long people spend time in each attraction and how popular an attraction is.
What it does
Using footage from a camera we counted the number of people looking at an exhibit, as well as how they feel.
How we built it
We used openCV and a laptop's camera.
Challenges we ran into
The plan was to use a camera on a raspberry pi, but we didn't manage to get this working. We experimented with ultrasound sensors and bluetooth tracking as alternatives, but we weren't satisfied with the outcome.
Accomplishments that we're proud of
Successfully incorporating real time tracking
What we learned
Using openCV for face and emotion detection, as well as working with LoPy and raspberry pi
What's next for CameraClara
Improving accuracy and real time emotion detection to work for multiple faces.