The proposed project is a Raspberry Pi-based intrusion detection system that uses a passive infrared (PIR) sensor to detect motion and a Pi camera to take pictures. The images obtained are stored in Firebase, which is Google’s mobile platform that helps you quickly develop high-quality apps.
Any area (indoors or outdoors) can be put under observation and even a slight movement by any heat-radiating body, such as a human being or an animal like a cat or dog, can be detected. On detection, the sensor triggers the camera to capture an image of the area. This system for intrusion detection can be modified to capture wildlife photos, face recognition, or other such applications.
Without Firebase settings enabled, the captured images are by default saved in Raspberry Pi. Either way, the autogenerated name itself contains the time and date of the movement in the area under observation, thereby giving the added advantage for user verification of the zone of observation (and verification of the same against expected or unexpected trespassing) by checking the folder. The same can be accessed on the Firebase system on your Android/iOS device or via a web app.
|Intrusion Detection System
|Bill of Material
|Raspberry Pi 3b+
|5MP Pi camera