🛰️ Smart Surveillance Terrain Rover

A smart, Arduino-ESP32 powered terrain rover designed for surveillance in areas inaccessible to drones. It combines real-time sensor data, motor control, and wireless communication to navigate and monitor challenging environments.

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📦 Features

• Terrain Navigation: Motor-controlled rover capable of traversing uneven surfaces.
• Surveillance Camera: Live video feed or image capture for remote monitoring.
• Sensor Suite: Real-time data from temperature, humidity, gas, and motion sensors.
• Wireless Communication: ESP32-based Wi-Fi or Bluetooth for remote control and data transmission.
• Live Visualization: Python-based dashboard for plotting sensor data in real time.
• Modular Design: Easily extendable hardware and software components.

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🧠 System Architecture

[Arduino] ---> [Sensors] ---> [ESP32] ---> [Wi-Fi/Bluetooth] ---> [Python Dashboard]
     |              |               |               |                     |
     |              |               |               |                     |
 [Motor Driver]  [Camera]       [Data Logger]   [Remote Commands]   [Live Plotting]

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🚀 Getting Started

1. Clone the Repository

git clone https://github.com/Hrithik-Bhattacharya/Smart-Surveillance-Terrain-Rover.git
cd Smart-Surveillance-Terrain-Rover

2. Hardware Setup

• Connect sensors to ESP32
• Connect motor driver to ESP32
• Connect ESP32 to laptop using USB
• Mount camera module (e.g., OV7670 or ESP32-CAM)

3. Software Setup

• Flash Arduino with main.py or motors/ control code
• Flash ESP32 with Wi-Fi/Bluetooth communication code
• Run plot.py for live visualization

python payloads/plot.py

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🛠️ Folder Structure

Smart-Surveillance-Terrain-Rover/
├── camera/             # Camera integration and streaming
├── motors/             # Motor control logic
├── payloads/           # Sensor data visualization and logging
├── README.md           # Project overview
├── main.py             # Arduino control script

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🧪 Live Sensor Visualization

Refactored plot.py supports real-time plotting of sensor data using matplotlib and pyserial. Easily extendable to support new sensors.

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Contributors

We welcome contributions of any kind to the enhancement of this project. Please make sure to create an issue and submit a pull request for the same.