🎥 ESP32-CAM Smart Security Camera 🎥

A WiFi-enabled smart security camera built using the ESP32-CAM module that provides live video streaming through a browser IP portal and sends motion alerts directly to Telegram using a bot API.

Overview

The ESP32-CAM Smart Security Camera is a compact IoT surveillance system designed for homes, classrooms, offices, and laboratories. The system hosts a live video stream that can be accessed through the ESP32-CAM's IP address in a web browser.

The camera continuously monitors the environment for motion. When movement is detected, the system automatically sends an alert message through Telegram using a Bot API, allowing the user to receive instant notifications on their mobile device.

Features

• Live video streaming through browser IP portal
• WiFi based remote access
• Motion detection alert system
• Telegram notification using Bot API
• Low-cost IoT surveillance solution
• Compact embedded system using ESP32-CAM

Hardware Components

• ESP32-CAM Module
• FTDI Programmer (for uploading code)
• PIR Motion Sensor
• 5V Power Supply
• Jumper Wires
• Optional MicroSD Card

Software and Technologies

• Arduino IDE
• ESP32 Board Package
• Telegram Bot API
• WiFi Communication
• Embedded C++

Working Principle

1. The ESP32-CAM connects to the local WiFi network.
2. After connecting, the device hosts a web server that provides live video streaming.
3. The user opens the ESP32-CAM IP address in a browser to view the live feed.
4. A PIR motion sensor continuously monitors movement.
5. When motion is detected, the ESP32-CAM triggers a Telegram message using the Bot API.
6. The user receives the alert instantly on their Telegram account.

Telegram Alert System

The system integrates with Telegram using a bot created through BotFather. When motion is detected, the ESP32-CAM sends an HTTP request to the Telegram Bot API which delivers an alert message directly to the user.

Example alert message:

Motion Detected by ESP32-CAM Security Camera.

Applications

• Home security monitoring
• Classroom surveillance
• Laboratory monitoring
• Smart IoT security systems
• Remote area monitoring

Future Improvements

• Image capture when motion is detected
• Video recording to SD card
• Night vision support using IR LEDs
• Cloud storage integration
• Face detection or recognition

Project Difficulty: Intermediate Embedded System

Development Time: Less than a Week! [ Trust Me! :) ]

Author

Embedded Systems Project by Jash.