The system is powered by a 3.7V Li-ion battery, regulated and charged using a TP4056 charging module, ensuring portability and efficient power management. By eliminating the need for manual indicator operation, this project reduces rider distraction and enhances road safety, especially in critical situations such as sudden turns or falls. Additionally, the fall detection capability of the sensor can be further extended for emergency alert systems.

Overall, this low-cost and compact solution improves rider convenience, minimizes human error, and contributes to safer riding conditions, making it highly suitable for modern smart transportation applications.

The Objectives of the project include:

  To design an automated indicator system that activates left and right turn signals without manual input.

  To use the ADXL345 MEMS accelerometer to accurately detect bike tilt, direction, and movement.

  To interface the sensor with an Arduino Uno microcontroller for real-time data processing and decision-making.

  To improve rider safety by reducing distraction and ensuring timely indication during turns.

  To develop a compact and energy-efficient system powered by a 3.7V Li-ion battery with TP4056 charging support.

  To implement reliable LED indication for both left and right directions.

  To incorporate fall detection capability for future safety enhancements.

  To create a low-cost, easy-to-install solution suitable for all types of two-wheelers.

The major building blocks of this project are:

1. 3.7V LI-ION Battery Power Supply.
2. TP4056IC.
3. Arduino UNO Microcontrollers.
4. ADXL345 MEMS sensor.
5. LED indicator.

Software’s used:

1. Embedded C programming.
2. Arduino IDE for dumping Code into Microcontroller.
3. Express SCH for circuit designing.

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In Automatic Mode, when the user turns the ignition key ON, the system immediately sends an alert message— “Vehicle Ignition Starts”—along with real-time location data obtained from the GPS Receiver to a predefined mobile number via the GSM Module. The system continuously monitors driver and vehicle conditions using multiple sensors such as alcohol detection, eye-blink (drowsiness), heartbeat monitoring, and the ADXL345 Accelerometer for accident detection. If any abnormal condition like alcohol consumption, driver drowsiness, or an accident is detected, the system automatically stops the vehicle by controlling the motor through the L298 Motor Driver, activates a buzzer for alert, and sends an emergency SMS with location details to the registered contact. Additionally, the driver’s heart rate and overall system status are displayed in real time on the LCD screen, ensuring continuous monitoring.

In Manual Mode, the user can control the vehicle’s movement (Forward, Backward, Left, Right, Stop) and speed remotely through a web interface using the ESP8266 Wi-Fi Module. This enables convenient and flexible vehicle operation via a browser-based control system.

Overall, the proposed system enhances vehicle safety by integrating real-time monitoring, automatic emergency response, and IoT-based remote control, making it highly suitable for modern smart vehicle applications.

Objectives:

  To design a smart vehicle safety system using Arduino Uno for real-time monitoring and control.

  To detect driver alcohol consumption using an alcohol sensor and prevent unsafe driving.

  To monitor driver drowsiness using an eye-blink sensor and avoid accidents.

  To detect accidents using the ADXL345 Accelerometer and take immediate safety actions.

  To measure and display the driver’s heart rate continuously on the LCD.

  To send alert messages with live location using the GSM Module and GPS Receiver during ignition start and emergency conditions.

  To automatically stop the vehicle using the L298 Motor Driver when abnormal conditions are detected.

  To provide buzzer alerts for immediate warning in critical situations.

  To implement IoT-based vehicle control using the ESP8266 Wi-Fi Module.

  To enable manual vehicle control (Forward, Backward, Left, Right, Stop, Speed control) through a web interface.

  To allow mode selection (Automatic/Manual) using a slide switch for flexible operation.

The major building blocks of this project are:

1. Battery power Supply.
2. Arduino UNO Micro Controller.
3. Global Positioning System (GPS).
4. GSM module.
5. ADXL345 Sensor
6. Alcohol sensor.
7. Heartrate sensor.
8. Eyeblink Sensor.
9. AUTO/MANUAL MODE SWITCH.
10. L298 with DC motors.
11. ESP8266 WI-FI module.
12. LCD display.
13. Buzzer.

Software’s Used:

1. Embedded C Language.
2. Arduino IDE studio compiler for dumping program.
3. WEB technology.
4. Express SCH for Circuit design.

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Objectives of Self-Balancing Stretcher System:

  To design a self-balancing stretcher that maintains a stable and level position during movement.

  To improve patient safety and comfort by minimizing tilting and sudden movements while transporting patients.

  To monitor the stretcher’s orientation using the ADXL345 accelerometer sensor.

  To automatically correct tilt angles using servo motors controlled by an Arduino Nano.

  To develop a compact and low-cost embedded healthcare solution for patient transportation.

  To monitor the patient’s body temperature continuously using a temperature sensor.

  To provide an audible warning through a buzzer when the patient’s temperature exceeds the preset limit.

  To ensure reliable portable operation using rechargeable lithium-ion batteries with a charging and voltage-boosting system.

  To enhance emergency and hospital transport systems through intelligent automation.

  To demonstrate the application of sensors, microcontrollers, and actuators in modern medical assistance devices.

The main objectives of the project:

1. ARDUINO NANO Microcontroller.
2. Battery power supply.
3. ADXL345 accelerometer.
4. Buzzer.
5. Servo motor.
6. Temperature sensor.

Software’s used:

1. Arduino ide studio compiler for dumping code into Microcontroller.
2. Embedded C language.

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Features:

Crash Detection:

• Uses an ADXL345 accelerometer to detect sudden changes in acceleration, indicating a crash or collision.

  Location Tracking:

• The GPS module tracks the vehicle’s location in real-time, providing accurate coordinates in case of a crash.

  SMS Alerts:

• The GSM module sends an SMS alert to family or emergency contacts with crash details like location and time.

  Data Logging:

• Stores important data such as acceleration, GPS location, and time on an SD card for later analysis.

  Fire Detection:

• A fire sensor detects smoke or fire after a crash and sends an alert if danger is present.

  Vibration Sensing:

• A vibration sensor detects any abnormal vibrations, adding an extra layer of crash detection.

  Real-Time Monitoring:

• An LCD display shows important information like vehicle speed, location, and crash status in real-time.

  Low Power Usage:                

• The system is designed to use minimal power, allowing it to run for long periods without draining the vehicle’s battery.

  Compact Design:

• The system is small and easy to install in any vehicle, with minimal disruption to existing vehicle setups.

  Affordable and Easy to Use:

• The system is built with Arduino, making it cost-effective, easy to customize, and simple to maintain.

The Major Building blocks of this project are:

1. Regulated Power Supply.
2. Arduino Microcontroller.
3. GPS Receiver.
4. GSM Modem.
5. LCD with driver.
6. LED Indicators.
7. ADXL 345 sensor.
8. MMC Card.
9. Vibration sensor.
10. Fire sensor.

Software’s used:

1. Arduino IDE compiler for Embedded C programming.
2. Express SCH for Circuit design.

Block Diagram:

video:

As shown in the block diagram, the system consists of a regulated power supply, temperature sensor, ADXL345 MEMS sensor, relay module, servo motor-based steam control, OLED display, and a web-based control interface. The ESP32 controller receives temperature data from the temperature sensor and motion/inactivity data from the ADXL345 MEMS sensor. Based on these inputs, the controller intelligently manages the heating element and steam flow of the iron box.

The relay module is used to switch the iron box heating element ON and OFF safely according to the required temperature settings. The servo motor controls the steam release mechanism, allowing optimized steam control for efficient ironing. An OLED display is provided to show real-time parameters such as temperature, steam status, and timer information.

The system also supports steam and timer control through a web page, enabling users to remotely monitor and control the iron box using Wi-Fi connectivity provided by the ESP32 controller. The ADXL345 MEMS sensor detects inactivity or abnormal movement, and the system automatically turns OFF the iron after a certain idle period, thereby preventing overheating, reducing power consumption, and improving safety.

This project demonstrates the effective integration of IoT, sensor technology, automation, and wireless control in household appliances, providing a smart, energy-efficient, and user-friendly ironing solution.

Objectives of the project:

1. To design a smart iron box using an ESP32 controller.
2. To control temperature and steam automatically for efficient ironing.
3. To provide remote monitoring and control through a web page.
4. To improve safety using auto shut-off with ADXL345 MEMS sensor.
5. To reduce power consumption and enhance energy efficiency.

The major building blocks of the project are:

• Regulated power supply.
• ESP32 controller.
• MEMS ADXL345 sensor
• Relay
• OLED.
• Servo.
• Iron box.

Software’s used:

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

Regulated power Supply:

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MEMS is a Micro Electro Mechanical Sensor which is a highly sensitive sensor and capable of detecting the tilt. This sensor finds the tilt and makes use of the accelerometer to open or close the door depending on tilt. For example if the tilt is to the right side then the door opens or if the tilt is to the left side then the door closes.

The control system consists of MEMS accelerometer sensor and microcontroller. Microcontroller collects data from the sensor and announces appropriate announcement for that data (gesture movement). The announcement is given by the microcontroller through the voice circuit interfaced to it. To perform this intelligent task, Microcontroller is loaded with an intelligent program written in embedded ‘C’ language.

The objectives of the project include:

1. To help the paralyzed, to express their basic needs through simple gesture movement.
2. Usage of MEMS sensor for gesture based operations.
3. Voice based announcement of predefined basic needs.

The project provides exposure to the following technologies:

1. Characteristics of MEMS accelerometer sensor.
2. Voice circuit characteristics.
3. Interfacing of MEMS and Voice circuit to Microcontroller.
4. Embedded ‘C’ programming concepts.
5. PCB designing.

The major building blocks of this project are:

1. Regulated Power Supply
2. MEMS accelerometer.
3. Micro Controller
4. Voice circuit.
5. Crystal
6. Reset
7. LED indicators.

Software’s used:

1. PIC-C compiler for Embedded C programming.
2. PIC kit 2 programmer for dumping code into Microcontroller.
3. Express SCH for Circuit design.

Block diagram:

video:

Accelerometer is an electromechanical device that measures acceleration forces. These forces may be static, like the constant force of gravity pulling at our feet, or they could be dynamic – caused by moving or vibrating the accelerometer. MEMS accelerometers are one of the simplest but also most applicable micro-electromechanical systems. They became indispensable in automobile industry, computer and audio-video technology.

The control system consists of MEMS accelerometer sensor and microcontroller. Microcontroller collects data from the sensor and announces appropriate announcement for that data (gesture movement) through voice circuit, in which predefined needs are stored. This operation is done by the Microcontroller which is loaded with an intelligent program written using embedded ‘C’ language.

The main objectives of the project are:

1. To provide a system for paralyzed to express his basic needs.
2. Password feature to the system.
3. Usage of MEMS sensor.

The project provides exposure to the following technologies:

1. Characteristics of MEMS accelerometer sensor.
2. Voice circuit characteristics.
3. Embedded ‘C’ programming concepts.
4. Interfacing of MEMS and Voice circuit to Microcontroller.
5. PCB designing concepts.

The major building blocks of this project are:

1. Regulated Power Supply
2. MEMS accelerometer.
3. Micro Controller
4. Voice circuit.
5. Crystal
6. Reset
7. LED indicators.

Software’s used:

1. PIC-C compiler for Embedded C programming.
2. PIC kit 2 programmer for dumping code into Microcontroller.
3. Express SCH for Circuit design.

Block diagram:

video: