🌍 SureveX: Environment Surveillance Bot

An IoT-based, semi-autonomous surveillance bot designed to monitor environmental conditions like temperature, humidity, gas concentration, and obstacles—streaming real-time data and live video over Wi-Fi.

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📷 Demo Preview

✅ Live sensor data + bot control via WebSocket
🎥 ESP32-CAM video streaming
📱 Mobile & 💻 desktop friendly dashboard

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🛠️ Features

• Real-time temperature & humidity monitoring (DHT11)
• Gas leak/smoke detection (MQ2 sensor)
• Obstacle detection with ultrasonic sensors
• Motion control (forward, backward, left, right, stop)
• MPU6050-based orientation sensing
• Wi-Fi enabled bot control & data streaming
• Live video feed using ESP32-CAM
• Remote dashboard via WebSocket + HTML/CSS/JS frontend

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🔋 Hardware Components

Component	Quantity	Description
ESP32 Dev Board	1	Main controller for sensors and motor control
ESP32-CAM Module	1	For live video surveillance
L298N Motor Driver	1	Controls 2 DC motors
DHT11 Sensor	1	Measures temperature & humidity
MQ2 Gas Sensor	1	Detects gas leakage / smoke
Ultrasonic Sensors	3	Obstacle detection (Front, Left, Right)
MPU6050	1	Measures tilt and orientation
12V Battery	1	Powers motors and ESP
Chassis + Wheels	1 set	Mobile base of the bot

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🔌 Circuit Connections

ESP32 Pin Mapping

Sensor/Module	ESP32 GPIO Pin
DHT11	GPIO 33
MQ2 Analog Output	GPIO 32
Ultrasonic Front	TRIG: GPIO 12, ECHO: GPIO 13
Ultrasonic Left	TRIG: GPIO 14, ECHO: GPIO 27
Ultrasonic Right	TRIG: GPIO 26, ECHO: GPIO 25
L298N Motor IN1/IN2	GPIO 16, GPIO 17
L298N Motor IN3/IN4	GPIO 5, GPIO 18
L298N ENA/ENB	GPIO 4, GPIO 19
ESP32-CAM Video	Runs separately, connects via WiFi
MPU6050 I2C	SDA: GPIO 21, SCL: GPIO 22

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📂 Project Structure

📁 Environment-Surveillance-Bot
├── 📁 ESP32-Code
│   ├── bot_controller.ino         # Main control code for ESP32
│   └── includes...                # Sensor libraries
├── 📁 ESP32-CAM
│   └── esp32-cam-stream.ino       # ESP32-CAM video streaming code
├── 📁 Website.zip
│   └── index.html                 # HTML/CSS/JS for control panel
├── Circuit.png                    # Circuit diagram
├── PCBPDF.pdf                     # 3D PCB
├── Schematic.Pdf                  # Schematic Diagram
└── README.md                      # This file

Working

The Environmental Surveillance Bot monitors various environmental parameters (e.g., temperature, humidity, air quality) and sends the data to a web dashboard in real-time. The bot uses an ESP32 or ESP32-CAM for Wi-Fi connectivity, sensor data collection, and WebSocket communication. The bot also integrates a camera module for live surveillance.

Overview of the Process:

1. Set up the Environment:

   • Clone the repository from GitHub.
   • Install the necessary libraries in the Arduino IDE or PlatformIO (e.g., DHT, MQ2, WebSockets).
   • Set up your WebSocket server for communication and ensure it is ready to receive data from the bot.

2. Hardware Setup:

   • Connect the sensors (DHT22 for temperature/humidity, MQ2 for gas detection, etc.) to the ESP32/ESP32-CAM as per the wiring instructions.
   • Optionally, connect the ESP32-CAM for live video surveillance.

3. Modify Configuration:

   • Update the Wi-Fi credentials in the code (ssid, password) to connect the ESP32 to your network.
   • Modify the WebSocket server address and port in the code to point to your WebSocket server.

4. Upload the Code:

   • Upload the code to your ESP32/ESP32-CAM via the Arduino IDE or PlatformIO.

5. Monitoring:

   • Once the ESP32 connects to Wi-Fi, it starts reading data from the sensors and sends the data to the WebSocket server.
   • The WebSocket server forwards the data to the connected clients (e.g., a web dashboard) in real-time.

6. Camera and Video Streaming:

   • The ESP32-CAM can stream live footage to your server or WebSocket server. If you're storing video, modify the code to upload camera snapshots or streams to your server or platform.

Code Flow:

• Wi-Fi Connection: The ESP32 connects to the internet using the provided credentials.
• Sensor Data Collection: The code continuously reads data from the DHT22 and MQ2 sensors.
• WebSocket Communication: The data is sent to the WebSocket server, where it is forwarded to any connected clients in real-time.
• Camera Integration (Optional): The ESP32-CAM captures video frames and streams them if configured.

Customization:

• Alert System: Set thresholds for sensor data to trigger alerts, such as high CO levels, and send notifications via WebSockets to the connected clients.
• Web Dashboard: Integrate WebSocket data with a custom web dashboard to visualize the sensor readings in real-time.

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👨‍💻 Author

Shrirang Rekhate

Electronics and Telecommunication Engineering

Shri Guru Gobind Singhji Institute of Engineering and Technology, Nanded

GitHub: @ShrirangRekhate