AI Security Camera with Arducam & Raspberry Pi
Create an intelligent security camera with person detection, motion alerts, and remote viewing. Uses machine learning for smart notifications.
Project Overview
Build a professional AI-powered security camera using a Raspberry Pi 4 and Arducam 64MP camera. This project uses TensorFlow Lite to detect people and send smart alerts only when it matters.
Features include night vision, motion detection, cloud recording, and a mobile-friendly web interface for live viewing.
What You'll Learn
Build Steps
Setup Raspberry Pi
Install Raspberry Pi OS and configure camera interface. Update system packages.
Install Camera Module
Connect the Arducam 64MP camera and verify it works with libcamera-hello.
Install TensorFlow Lite
Set up TensorFlow Lite runtime and download person detection model.
Build the Application
Write Python code for camera capture, ML inference, and web streaming.
Add Night Vision
Install IR LEDs and configure automatic day/night switching.
Final Deployment
Mount in weatherproof housing and configure remote access.
