Buzzer – HVS Technologies

HVS-4873. Three phase Transmission Line Fault Detection and Alert . Line – Line & Line – Ground with distance

hvsadmin — Fri, 05 Jun 2026 10:04:22 +0000

The main aim of this project is to design and implement a Three-Phase Transmission Line Fault Detection System using an Arduino UNO. The system is capable of detecting different types of faults occurring in a three-phase transmission line, such as Line-to-Line (L-L) faults, Line-to-Ground (L-G) faults. The detected fault type and its location in KM are displayed on an LCD module for easy monitoring.

The proposed system is based on Ohm’s Law, which is used to determine the fault location accurately and cost-effectively. Current sensing circuits consisting of resistor networks are connected to the Analog-to-Digital Converter (ADC) ports of the Arduino UNO. These circuits provide voltage values corresponding to different cable lengths, enabling the microcontroller to identify the fault location in kilometres.

Faults are created manually at predefined distances along the transmission line model. When a fault occurs, the Arduino processes the sensor data, identifies the fault type and location, and displays the information on the LCD screen. Simultaneously, a buzzer is activated to alert the user. The system also trips the affected phase through a relay, and the corresponding phase status is indicated using bulbs.

The Arduino UNO serves as the main controlling unit, executing a program developed in Embedded C language. The proposed system provides a simple, reliable, fast, and economical solution for transmission line fault detection, helping maintenance personnel quickly identify and rectify faults, thereby improving the reliability of power distribution systems.

Objectives:

Design a three-phase fault detection system.
It will detect line-line and line-ground faults.
Alert fault indication using BUZZER.
Display the fault type on LCD display.

The main blocks of this project are:

Adapter power supply.
Arduino UNO Microcontroller.
Three-Phase Transmission Line.
Line-to-Line Fault.
Line-to-Ground.
Resistors.
Relays.
LCD with driver.
Buzzer.
R Y B Bulbs.

Software’s Used:

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

video:

HVS-4837. Smart Home Shield: IoT Driven Real-Time Threat Protection using Fingerprint with Photo to Email Alert.

hvsadmin — Sat, 30 May 2026 13:52:54 +0000

This project presents an Internet of Things (IoT)-based home security system utilizing ESP-32, ESP-32 Camera, Fingerprint Sensor, LDR, Laser, PIR Sensor, and a Buzzer. The system aims to enhance home security by integrating various sensors to detect motion and unauthorized access while providing real-time alerts and notifications. The PIR Motion Sensor detects movement in the monitored area and triggers a buzzer to notify occupants of potential intruders. A Laser Sensor functions as a tripwire, activating the buzzer if its beam is interrupted, ensuring immediate detection of unauthorized entry.

Access control is managed using a Fingerprint Sensor, allowing only authorized individuals to gain entry. If an unauthorized fingerprint is detected, the ESP-32 Camera captures an image of the person and sends it via email to a predefined user, enabling remote monitoring and prompt response. The LDR (Light Dependent Resistor) detects ambient light levels, helping to automate responses under specific lighting conditions. The Buzzer serves as a primary alert mechanism for all detected security breaches.

This integrated system offers a reliable, smart, and efficient solution for home security, combining biometric access control with real-time surveillance and email-based alert capabilities.

The main object of this project:

Intrusion Detection.
Visual Confirmation.
Buzzer Alert.
Enhanced Home Security.

The major building blocks of this project are:

Power Supply.
Esp32 Cam.
Arduino UNO.
PIR Sensor.
Fingerprint sensor.
LDR Sensor.
Laser Light.
Fingerprint sensor.

Software’s used:

ARDUINO IDE STUDIO compiler for Embedded C programming.
Express SCH for Circuit design.
IOT technology.

video:

HVS-4833. Speed Control of BLDC Motor with Measurement and Temperature Monitoring using Arduino UNO

hvsadmin — Sat, 30 May 2026 12:30:53 +0000

The project aims to design and implement a smart BLDC fan motor speed control system using an Arduino Uno microcontroller and a keypad-based user interface. The system allows users to control the speed of the BLDC fan by pressing dedicated keypad buttons, where each button corresponds to a predefined speed level. This provides a simple, reliable, and user-friendly method for adjusting fan speed according to user requirements.

The system also incorporates a temperature sensor to continuously monitor ambient temperature and display both the current temperature and selected fan speed on an LCD screen in real time. To enhance safety, a buzzer-based alert mechanism is included to notify the user whenever the temperature exceeds a preset threshold value. The proposed system offers efficient motor control, real-time monitoring, improved user interaction, and temperature-based safety alerts, making it suitable for smart home appliances, industrial cooling systems, and energy-efficient ventilation applications.

The main objectives of the project are:

To design and implement a speed control system for a BLDC Fan motor using an Arduino Uno and a Keypad based control method.
To provide user-friendly control through keypad, each corresponding to a predefined speed level.
To display real-time speed levels and Temperature on an LCD screen for easy monitoring and user interaction.
High temperature alerts using Buzzer.

The major building blocks of the project are:

Regulated Power Supply.
Arduino UNO microcontroller.
4X4 keypad
BLDC fan motor
IR sensor
LCD display.
Temperature sensor.
Buzzer.

Software’s used:

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

Regulated Power Supply:

BLOCK DIAGRAM:

video:

HVS-4811. Voltage Sensing Alarm through SMS and Call.

hvsadmin — Mon, 25 May 2026 13:25:25 +0000

This project presents a Voltage Sensing Alarm System with SMS and Call Alert designed to continuously monitor battery voltage and provide real-time alerts during undervoltage conditions. An Arduino Nano microcontroller serves as the central control unit, interfacing with a voltage sensor to measure the battery voltage accurately. A potentiometer is used to set a predefined voltage threshold according to user requirements.

When the monitored battery voltage falls below the set limit, the system automatically triggers multiple alert mechanisms. A GSM module sends an alert SMS and initiates a phone call to a predefined mobile number, ensuring timely remote notification. Simultaneously, a buzzer is activated to provide an immediate local audible alert. The current battery voltage and system status are displayed on an LCD display through an LCD driver for continuous visual monitoring.

This system is highly reliable and suitable for applications such as battery monitoring, power backup systems, telecom equipment, solar systems, and industrial power management, where early warning of low battery voltage is critical to prevent system failure and equipment damage.

The main objective of this project is:

To continuously monitor the battery voltage using a voltage sensor.
To set a voltage threshold using a potentiometer.
To detect low battery voltage conditions accurately.
To send alert SMS and make a call using a GSM module when voltage goes below the set limit.
To activate a buzzer for local alert during low voltage condition.
To display battery voltage and system status on an LCD.
To provide a reliable and easy-to-use battery monitoring and alert system.

Components Used:

Adapter power supply.
Arduino NANO.
LCD display.
GSM
Voltage sensor.
POT
Buzzer

Software’s used:

ARDUINO IDE.
Embedded C language.

video:

HVS-4806. IoT and GSM Transmission Line Fault detection using Arduino with webpage monitoring and SMS Alerts.

hvsadmin — Mon, 25 May 2026 10:47:49 +0000

The main aim of this project is to design and develop an IoT and GSM based three-phase transmission line fault detection and alerting system using an Arduino UNO and ESP8266 module. The system is capable of detecting different types of faults such as line-to-line fault, line-to-ground fault, over-voltage fault, under-voltage fault, and open-circuit fault. Whenever a fault occurs, the system identifies the fault type, displays the information on an LCD module, activates a buzzer for alert indication, and sends notifications through SMS and webpage monitoring.
The proposed model uses the principle of Ohm’s Law to detect open-circuit, line-to-line, and line-to-ground faults in a fast, reliable, and cost-effective manner. A potentiometer (POT) is used to vary the voltage level from low to high for testing over-voltage and under-voltage conditions. When abnormal voltage conditions are detected, the system automatically trips the circuit using a relay, and the affected phase is indicated through a bulb.
The system also incorporates an ESP8266 Wi-Fi module for real-time monitoring through a web application. Fault information and system status can be monitored remotely over the internet. In addition, a GSM module is used to send SMS alerts to the user whenever a fault is detected, ensuring immediate communication and improved safety.
Current sensing circuits designed using resistor-switch combinations are interfaced with the Arduino UNO through ADC ports to provide digital data representing the fault location in kilometers. Fault switches are placed at known distances to manually create faults for testing purposes. Once a fault is detected, the corresponding fault type and fault location are displayed on the LCD screen.
The entire system operates using a regulated rectified power supply, and the Arduino UNO acts as the main controlling unit. The project is implemented using Embedded C programming to continuously monitor transmission line conditions, detect faults accurately, provide instant alerts, and enable remote monitoring through IoT technology.

Objectives

To design a three-phase transmission line fault detection system using Arduino UNO.
To detect different types of faults such as line-to-line, line-to-ground, open-circuit, over-voltage, and under-voltage faults.
To display the detected fault type on an LCD display.
To provide alert indications using a buzzer and relay protection system.
To monitor transmission line status through a web application using IoT technology.
To send fault alert messages to the user through GSM-based SMS communication.
To identify the fault location in the transmission line using sensing circuits.
To develop a reliable, low-cost, and efficient fault monitoring system.

The major building blocks of this project are:

Adapter power supply.
Arduino UNO Microcontroller.
Fault switches.
Relays.
Resistors.
LCD with driver.
Esp8266 WI-FI module.
Buzzer
Three phase supply.
POT(potentiometer).
GSM.

Software’s used:

Arduino IDE for compiling and dumping code into Microcontroller
Express SCH for Circuit design.

video:

HVS-1171. DTMF controlled Live Human Being Detecting Robot.

hvsadmin — Fri, 22 May 2026 13:55:45 +0000

The aim of this project is to design automatic robot which is capable of receiving a set of command instructions in the form of DTMF tones and performs the necessary actions. Here DTMF stands for “Dual tone multiple frequency”. And also to detect the human being by using sensors that detects the presence of the human being and indicates the user. This can be used to detect terrorists/thief inside the building.

The objective of this project is fulfilled by employing a DTMF mobile, a microcontroller, few DC motors for direction control, and an interfacing between the different modules of the project and the controller.

The project makes use of a microcontroller which acts as a central controlling unit. This module is capable of communicating with the input and the output modules. The controller makes use of a PIR based input sensor to sense the human being and give us an alert indication through a buzzer that alerts the presence of humans. We also make use of a mobile phone, which is used to control the robot. The output module is formed by the motors used for controlling the direction of the motor i.e. the forward and backward movement of the robot. The Microcontroller is programmed using Embedded C language.

The main objectives of this project are:

Design of real time robot which can detect the live human.
DTMF control of robot directions and movement.
PIR based human detection and alerting.
To achieve this task using PIC microcontroller.

The major building blocks of this project are:

Battery Power Supply.
PIC Microcontroller.
DTMF decoder.
PIR Module.
DC Motors with driver.
Buzzer with driver.
Crystal
LED Indicators.
Reset Button.

Software’s used:

PIC-C compiler for Embedded C programming.
PIC kit 2 programmer for dumping code into Micro controller.
Express SCH for Circuit design.

Block Diagrm:

video:

HVS-4770. IoT based Flood Monitoring and Alerting System using Twilio SMS and Raspberry pi

hvsadmin — Mon, 18 May 2026 10:44:17 +0000

Floods pose a serious threat to human life, property, and infrastructure, making early warning systems essential for effective disaster management. This project presents an IoT-based Flood Monitoring and Alerting System using a Raspberry Pi Zero 2W integrated with Web APIs for real-time monitoring and remote alert generation. The system uses an ultrasonic sensor to continuously measure water levels and a DHT11 sensor to monitor environmental temperature and humidity conditions.

The Raspberry Pi Zero 2W processes the sensor data and uploads it to a cloud-based platform through web APIs, enabling real-time monitoring through web or mobile applications. The current sensor readings and flood status are displayed on an LCD display for local monitoring. When the water level exceeds the predefined threshold, the system activates a buzzer for immediate local warning and sends automated SMS alerts to authorities or users using the Twilio API. This system improves disaster preparedness by providing timely alerts, remote accessibility, and continuous environmental monitoring, helping to reduce flood-related damage and improve public safety.

Objectives:

To design an IoT-based flood monitoring and alerting system.
To monitor water levels using an ultrasonic sensor in real time.
To measure environmental temperature and humidity using the DHT11 sensor.
To process and analyze sensor data using Raspberry Pi Zero 2W.
To upload real-time data to a cloud platform through Web APIs.
To provide remote monitoring through web or mobile applications.
To display flood status and sensor readings on an LCD display.
To generate local alerts using a buzzer during flood conditions.
To send automated SMS notifications using the Twilio API.
To improve disaster preparedness and reduce flood-related damage.

The major building blocks of this project are:

Power Supply
Raspberry pi Zero 2w.
Temperature and humidity sensor.
Ultrasonic sensor.
LCD Display.
Buzzer.
SD card.

Software’s used:

Python Language.
Thonny Python IDE software
Express SCH for Circuit design.
WEB API.

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-4734. Railway Track crack detection and track deviation system with Location SMS Alerts using ARDUINO UNO

hvsadmin — Wed, 13 May 2026 12:44:48 +0000

The Railway Track Fault Detection System is designed to improve railway safety by detecting track faults in real time and preventing railway accidents. An Arduino microcontroller acts as the main control unit and integrates IR sensors for detecting cracks or faults in railway tracks. In this project, two railway tracks are considered, and each track is equipped with an IR sensor for continuous monitoring. An LM2596 buck converter is used to step down the 12V battery voltage to 5V DC, which powers the Arduino and other modules.

Whenever a fault or crack is detected on the track, the system immediately stops the motorized unit to avoid accidents. A buzzer is activated to provide a warning indication, and an LCD display shows the current status of the system. In addition, a GPS module is used to identify the exact location of the fault, while a GSM module sends an alert SMS along with the location details to railway authorities for immediate action.

The tracking system consists of a GPS receiver, Arduino microcontroller, and GSM module. The GPS receiver obtains location information in the form of latitude and longitude coordinates, and the microcontroller processes this information before transmitting it through the GSM network. The entire system is programmed using embedded C language.

This project provides an efficient, low-cost, and reliable solution for railway track monitoring and accident prevention through automatic fault detection, alert generation, and real-time communication.

The main objectives of the project are:

To detect cracks and faults in railway tracks using IR sensors.
To continuously monitor two railway tracks for safety.
To automatically stop the motorized unit when a fault is detected.
To provide warning alerts using a buzzer system.
To identify the exact fault location using GPS technology.
To send alert SMS messages to railway authorities using GSM.
To display system status and fault information on an LCD.
To reduce railway accidents through early fault detection and real-time monitoring.

The main building blocks of the project are:

Battery Power Supply.
LM2596.
ARDUINO UNO Microcontroller.
GSM modem
GPS receiver.
IR Sensors.
Buzzer.
LCD display.
Relay with DC motor.

Software’s used:

Arduino IDE Studio Compiler for Embedded C programming.
Express SCH for Circuit design.

video:

HVS-4728. Driver Drowsiness and Alcohol Detection with Ignition Control System using Raspberry pi

hvsadmin — Wed, 13 May 2026 07:07:02 +0000

The “Driver Drowsiness and Alcohol Detection with Ignition Control System” is an intelligent vehicle safety system designed to reduce road accidents caused by driver fatigue and alcohol consumption. The system uses a Raspberry Pi as the main controller along with a Pi Camera to continuously monitor the driver’s facial movements and eye blinking patterns for detecting drowsiness. An alcohol sensing module is also integrated to identify the presence of alcohol from the driver.

Whenever drowsiness or alcohol consumption is detected, the system immediately activates safety measures to prevent accidents. The vehicle ignition is automatically stopped through a relay control mechanism, the RED LED indicator is turned ON to indicate danger, and a buzzer alert is activated to warn the driver and nearby passengers. Under normal conditions, the GREEN LED remains ON indicating safe driving status. The regulated power supply ensures stable operation of all components, while the SD card stores the required software and monitoring data.

This system provides a reliable, low-cost, and real-time solution for improving road safety by preventing intoxicated and drowsy driving, thereby reducing the chances of accidents and protecting human lives.

Objectives:

 To detect driver drowsiness using a Pi Camera.

 To detect alcohol consumption by the driver.

 To automatically stop vehicle ignition during unsafe conditions.

 To provide warning alerts using a buzzer.

 To indicate vehicle status using RED and GREEN LEDs.

 To improve road safety and reduce accidents caused by fatigue and alcohol consumption.

The major building blocks of this project are:

Power Supply.
Raspberry Pi.
Pi Camera
Buzzer.
Alcohol sensor.
Relay with Ignition Motor.

Software’s used:

Raspbian OS.
Python programming.

Regulated Power Supply:

Block diagram:

video: