Metal – HVS Technologies

HVS-4907. Hand Gestured and Voice Control Four Wheel Robot 🤖 using Raspberry Pi with Gas,Smoke and metal

hvsadmin — Tue, 23 Jun 2026 13:01:24 +0000

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.

The major building blocks of the project are:

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.

Software’s used:

Raspbian OS.
Express SCH for Circuit design.

Block Diagram:

video:

HVS-4781. Multipurpose Robot for military applications with Surveillance, Fire, Motion, Gas, GPS location

hvsadmin — Tue, 19 May 2026 14:24:23 +0000

Military operations require advanced surveillance and threat detection systems to enhance security and situational awareness. This project presents a Multipurpose Military Robot based on the ESP32and ESP32-CAM, integrated with multiple sensors for real-time surveillance, threat detection, and remote monitoring. The robot is designed to operate in both autonomous and manual modes, making it suitable for applications such as border surveillance, reconnaissance missions, hazardous area exploration, and remote military monitoring.

The ESP32-CAM module provides live video streaming for real-time remote surveillance. A PIR sensor detects unauthorized movement, triggering alerts, while an MQ-series gas sensor identifies hazardous gases. A flame sensor detects fire or high-temperature zones, activating the alert system. The GPS module tracks the robot’s real-time location, ensuring precise monitoring. Additionally, a metal sensor is incorporated to detect metallic objects, including weapons and landmines, enhancing safety in military operations. A buzzer provides immediate audible alerts when a threat is detected, ensuring quick response and also robot will send the alert information to the user remotely like sensor status and location details. The system is remotely controlled via a web-based interface, allowing operators to monitor and maneuver the robot from a secure location. By integrating IoT capabilities, this robot offers a cost-effective, scalable, and highly efficient solution for modern defense and security applications.

Objectives of the project:

To develop a multipurpose military robot for surveillance and security applications.
To provide live video monitoring using the ESP32-CAM module.
To control the robot wirelessly through a web-based interface.
To detect human movement using a PIR sensor.
To identify harmful gases using a gas sensor.
To detect fire or high-temperature zones using a fire sensor.
To detect metallic objects such as weapons and landmines using a metal sensor.
To track the robot location using a GPS module.
To generate alerts using a buzzer and LED indicators during threat detection.
To design a smart, portable, and low-cost robot for military and rescue operations.

The major building blocks of the project are:

Battery power supply.
LM2596.
Arduino nano.
ESP32 camera module.
GAS Sensor.
Fire sensor.
PIR sensor.
Metal Sensor.
GPS.
DC motors with L293d.
Buzzer.
LED indications.

Software’s used:

Embedded C programming.
Arduino IDE programmer for dumping code into Micro controller.
Express SCH for Circuit design.
WEB technology.

video:

HVS-4755. Multi-Threat Surveillance Robot – Metal, Smoke, Gas and GPS with ESP32CAM

hvsadmin — Sat, 16 May 2026 08:00:31 +0000

The Multi-Threat Surveillance Vehicle is an intelligent robotic system designed for real-time threat detection, monitoring, and security surveillance. The vehicle integrates multiple sensors such as gas, smoke, and metal detectors to identify potential threats and generate instant buzzer and web alerts for operator notification. An ESP32 camera module provides live video streaming, while GPS technology enables real-time location tracking through a web platform for continuous monitoring.

The system is controlled using an ESP32 microcontroller that manages sensor data, communication, and vehicle movement on a four-wheel robotic platform. Powered by a 12V battery, the vehicle offers reliable mobility and efficient operation in various environments. This project provides a smart and cost-effective solution for applications in security surveillance, military operations, disaster management, and remote monitoring systems.

Objectives

To develop a robotic surveillance vehicle for real-time threat detection and monitoring.
To detect harmful gases, smoke, and metal objects using different sensors.
To provide instant buzzer alerts and web notifications when a threat is detected.
To enable live video streaming using the ESP32 camera module.
To track the vehicle location in real time using GPS technology.
To control the robot movement using an ESP32 microcontroller and motor driver system.
To create a mobile and efficient security system for surveillance and disaster management applications.
To provide a low-cost and smart solution for remote monitoring and safety applications.

The Major building blocks of this project are:

ESP32 microcontroller.
DC motor with L293D motor driver.
ESP32 Camera.
GPS.
12v,2amp Rechargeable Battery.
LM2596.
GAS sensor.
Smoke sensor.
Metal sensor.
Buzzer.

Software’s used:

Embedded C programming.
Arduino IDE programmer for dumping code into Micro controller.
Express SCH for Circuit design.
IOT technology.

video:

HVS-3069. Automated Waste Segregator (dry wet and metal).

hvsadmin — Thu, 11 Sep 2025 07:15:33 +0000

Rapid increase in volume and types of solid and hazardous waste due to continuous economic growth, urbanization and industrialization, is becoming a burgeoning problem for national and local governments to ensure effective and sustainable management of waste. It is estimated that in 2006 the total amount of municipal solid waste generated globally reached 2.02 billion tones, representing a 7% annual increase since 2003 (Global Waste Management Market Report 2007). The segregation, handling, transport, and disposal of waste needs to be properly managed to minimize the risk to the health and safety of patients, the public, and the environment. The economic value of waste is best realized when it is segregated. Currently, there is no such system of segregation of dry, wet and metallic wastes at the household level. This project proposes an Automated Waste Segregator (AWS) which is a cheap, easy to use solution for a segregation system for household use, so that it can be sent directly for processing. It is designed to sort the refuse into metallic waste, wet waste and dry waste. The AWS employs parallel resonant impedance sensing mechanism to identify metallic items, and capacitive sensors to distinguish between wet and dry waste. Experimental results show that the segregation of waste into metallic, wet and dry waste has been successfully implemented using the AWS.

The project makes a use of arduino microcontroller which is loaded embedded c language.IR sensor is used to detects dry waste, wet sensor is used to detects the wet waste and also metal sensor is used to detects the metallic waste. Using servo motor to rotating the waste bins. Experimental results show that the segregation of waste into metallic, wet and dry waste has been successfully implemented using the AWS.The status of the project will display on LCD.

Objective:

It can segregate the three types (metallic waste, wet waste and dry waste) of wastes.

Components:

Power Supply.
Arduino uno.
IR sensor.
Metal sensor.
Wet sensor.
LCD display.
Servo Motors.

Software’s used:

Arduino IDE studio compiler for dumping program.
Express SCH for Circuit design.

Advantages:

Sorting of waste at the primary stage will make the wastemanagement more effective and fruitful.
Giving way to cleaner environment.
Eco friendly.
Lower initial investments.

Block diagram:

video:

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