A computer vision home surveillance system based on the Raspberry Pi 2. Utilizes the Raspberry Pi CSI camera module and OpenCV framework.
Origin: Senior Electronic Design I Project, Spring 2016
Advisor: Professor Scott Grenquist
Deptartment: Electrical Engineering and Technology
College: Wentworth Institute of Technology
A low-cost, low-maintenance, Raspberry Pi 2-based home surveillance system. This system is designed to allow a homeowner to record digital footage. The system includes basic object detection. Recorded videos will be cataloged by the object type that activated the camera, e.g. human, vehicle, and others. The result is a lightweight and scalable home surveillance system that remains inexpensive in storage.
The main file is scrying.py in scrying.
Visit documentation for details. All of the technical documents from the semester—including LaTeX source code—are in this directory. The order of the submissions:
- Proposal
- Calculations
- Prototype
- Manufacturing: In progress.