Spike Prime - Door camera - Jakub Vojtek

Back to: List of projects of Spike up Prime Interest in Science and Technology with Raspberry Pi Build Hat

About the project

The project integrates a distance sensor and a camera to monitor the entrance of a door. When the distance sensor detects movement within a specified range, the camera captures an image. The captured image is then processed using a face detection algorithm to identify and highlight faces. The images, along with the timestamps and the number of detected faces, are saved both as files and in a SQLite database for record-keeping.

Build a robot

• Not all door frames are the same, build a holder that will work on yours.
• Find a place where you camera will reach and can be placed to watch doors without movement.

Building instructions:

• Door Camera (pdf)

• Door Camera (stud.io)

Get the robot ready

• Connect the camera to the Raspberry Pi and ensure it is securely positioned in the holder.
• Calibrate the distance sensor to ensure it accurately detects movement within the desired range.
• Test the setup to verify that the camera captures images when movement is detected and that the images are saved correctly.

Raspberry Python Code:

• Door Camera - Code
• Database Reader - Code

Ideas for improvement

• Integrate an alert system that sends notifications to your phone or email when movement is detected.
• Implement a web interface to view the captured images and database records in real-time.

Evaluate your performance

• Think about how you approached the problem and about how else could it be solved.
• Evaluate yourself on how you adapted when something didn't work as you hoped it would.

Teacher Resources

• Door Camera - Teacher Resources

Links

• Inspiration: https://www.datacamp.com/tutorial/face-detection-python-opencv