HVS-4907. Hand Gestured and Voice Control Four Wheel Robot 🤖 using Raspberry Pi with Gas,Smoke and metal
₹14,500.00
This project proposes the design and development of a Hand Gestured and Voice Control Four Wheel Robot using Raspberry Pi Zero 2W and Python programming.
This project proposes the design and development of a Hand Gestured and Voice Control Four Wheel Robot using Raspberry Pi Zero 2W and Python programming. The system integrates multiple sensors such as gas, smoke, and metal sensors, along with a Pi camera for live monitoring and surveillance. The robot can be controlled through both hand gestures and voice commands via a Bluetooth-enabled Android phone, providing flexible and user-friendly operation. A DC motor driver circuit is used to control the movement of the four-wheel robot, while indicators such as LEDs and a Buzzer enhance feedback and alert functionalities. Data storage and processing are handled by the SD card and Raspberry Pi, ensuring smooth operation and real-time response. The proposed system demonstrates the potential of IoT-based robotics in creating smart, multipurpose robots for applications in security, defense, and hazardous environment monitoring.
Objectives:- To design and develop a four-wheel robot using Raspberry Pi Zero 2W and Python programming.
- To control the robot using hand gesture commands through a Bluetooth-enabled Android device.
- To implement voice command-based robot control for user-friendly operation.
- To integrate a Pi Camera for real-time video monitoring and surveillance.
- To detect hazardous gases using a gas sensor and provide alerts.
- To detect smoke and fire-related conditions using a smoke sensor.
- To identify metallic objects using a metal detection sensor.
- To control the movement of DC motors using a motor driver circuit.
- To provide visual and audio indications through LEDs and a buzzer for alerts and system status.
- To process and store sensor data using Raspberry Pi and SD card memory.
- To develop a smart robotic platform for security, defense, surveillance, and hazardous environment monitoring applications.
- To demonstrate the integration of IoT, robotics, computer vision, and wireless communication technologies in a single intelligent system.
- Battery power supply.
- Raspberry pi zero 2w.
- HC-05 Bluetooth module.
- DC motors with l293d motor driver.
- SD card.
- LED indicator.
- Pi camera.
- Gas sensor.
- Smoke sensor.
- Metal sensor.
- Buzzer.
- Raspbian OS.
- Express SCH for Circuit design.
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