The Raspberry Pi 4 displays the data on an LCD screen for local monitoring and activates a buzzer during abnormal readings or fall events. Additionally, the system incorporates an RA-02 LoRa transceiver module to wirelessly transmit health data to a remote receiving unit built using a Raspberry Pi Zero 2W. The receiving module, equipped with an LCD display and buzzer, allows caregivers to remotely view patient health conditions and receive instant alerts. An SD card is included for data logging, and the entire system is powered through a stable adaptor supply.

This combination of biomedical sensing, edge processing, and long-range LoRa communication ensures continuous monitoring and reliable emergency detection, making the system ideal for elderly care, remote patient tracking, and accident response scenarios.

The main objectives of the project are:

 To continuously monitor vital health parameters such as heart rate, SpO₂, body temperature, and fall detection using biomedical sensors.

 To interface sensors with Arduino Uno for accurate data acquisition and preprocessing.

 To transmit collected health data to Raspberry Pi 4 for advanced processing, display, and local alert generation.

 To display real-time health information on an LCD screen for easy and immediate visualization.

 To provide instant emergency alerts using a buzzer whenever abnormal or critical health conditions are detected.

 To implement long-range communication using the RA-02 LoRa module for transmitting health data to a remote monitoring station.

 To design a remote receiving unit using Raspberry Pi Zero 2W to display transmitted data and provide emergency alerts.

 To ensure reliable system operation through stable adaptor-based power supply and SD card-based data logging.

 To develop a low-cost, scalable, and energy-efficient emergency response system suitable for elderly care and remote health monitoring.

 To enhance safety and response time by enabling caregivers or medical personnel to remotely monitor patient health conditions in real time.

The major building blocks of the project are:

1. Power Supply.
2. Raspberry pi zero 2W.
3. Raspberry pi4.
4. Arduino uno.
5. Temperature sensor.
6. MAX30102(heartbeat&spo2) sensor.
7. Fall detection sensor.
8. Two LCD display.
9. Two Buzzers.
10. SD card.
11. Ra-02 LoRa MODULES.

Software’s used:

1. Python programming.
2. Express SCH for Circuit design.
3. Raspbian OS.
4. ARDUINO IDE STUDIO Compiler for Embedded C programming. 

video:

The Raspberry Pi Zero 2W section serves as the main processing and safety module. It interfaces with a Pi Camera, SD card, Sound Sensor, and Panic Switch for real-time monitoring and alert generation. In emergency situations, such as when the panic button is pressed or the sound sensor detects distress, the Raspberry Pi captures video footage through the Pi Camera, sends an alert SMS to predefined mobile numbers via the GSM module, and simultaneously emails the recorded video to a registered email address and also activate the Buzzer for alerts. Communication between the Arduino and Raspberry Pi is achieved using LoRa technology, which enables long-range, low-power data exchange to coordinate and control streetlights on both sides of the road. The status of the project will display on LCD.

This dual-controller approach effectively integrates smart lighting automation with women’s safety mechanisms, achieving efficient power management, responsive communication, and proactive emergency alerts, thereby contributing to safer and smarter urban environments.

The main objectives of the project are:

  To design an intelligent street lighting system that adjusts light intensity automatically based on environmental conditions and pedestrian movement.

 To ensure women’s safety through real-time monitoring and emergency alert features.

 To integrate GSM and Email communication for instant alert transmission during panic situations.

  To enable efficient communication between Arduino and Raspberry Pi using LoRa technology.

  To achieve significant energy savings by operating lights at variable intensities during different time periods.

The main building blocks of the project are:

• Adapter power supply.
• Arduino Nano.
• Raspberry pi Zero 2W.
• Panic switch.
• GSM.
• LDR.
• PIR.
• Ultrasonic Sensor.
• Street Lights.
• LCD display.
• Buzzer.
• Sound sensor.
• Pi camera.
• SD card.
• LoRa Modules.

Software’s used:

1. Arduino IDE for compiling and dumping C code into Microcontroller.
2. Raspbian OS.
3. Python Language.
4. Express SCH for Circuit design.

Block diagram:

video:

The robot section is controlled by a microcontroller interfaced with DC motors driven by an L298N motor driver for movement. An ESP32-CAM module provides real-time live video streaming, enabling remote visual monitoring through a mobile device. LoRa technology is used for long-range, low-power wireless communication between the robot unit and the remote-control section, where delivery status and alerts are displayed on an LCD.

To enhance security, a vibration sensor detects unauthorized handling or theft attempts or battery voltage goes low immediately triggering a buzzer alert and sending warning messages to the remote unit. An ultrasonic sensor detects obstacles, and upon detection, the microcontroller activates blue alert lights to ensure safe navigation. Battery voltage and current are continuously monitored to provide low-battery alerts.

At the destination, access to the parcel compartment is protected using a password-based locking system. A 4×4 keypad mounted on the robot allows the user to enter the password. If the correct password is entered, the solenoid lock opens for a predefined duration and closes automatically afterward. Multiple incorrect password attempts trigger an alert to prevent unauthorized access.

Overall, the proposed system provides a secure, intelligent, and remotely monitored delivery solution suitable for food delivery, courier services, and e-commerce applications, combining live streaming, theft detection, obstacle avoidance, and secure access control in a single robotic platform.

The objectives of the project include:

1. To design an RC-based delivery robot for food and e-commerce applications.
2. To enable long-range wireless control and alert communication using LoRa.
3. To provide live video monitoring using the ESP32-CAM.
4. To implement theft detection and security using sensors and alerts.
5. To ensure secure parcel delivery through a password-protected locking system.
6. To detect obstacles and provide alert indications for safe navigation.
7. To monitor battery status and display system information on an LCD.

The major building blocks of this project are:

• Rechargeable battery.
• ESP32 Camera.
• Arduino Nano.
• DC Motors with L293D driver.
• Blue light.
• Head light.
• Ultrasonic sensor.
• DC motor with l298 driver.
• Buzzer.
• Keypad.
• PIC Microcontroller.
• LCD display.
• Voltage &Current sensor.
• Solenoid Lock.
• Vibration sensor.
• Relay.
• LoRa Modules.

Software’s used:

1. Arduino IDE for compiling and dumping code into ESP32 Camera and Arduino NANO.
2. PIC-C compiler for Embedded C programming.
3. PIC kit 2 programmer for dumping code into PIC Micro controller.
4. Express SCH for Circuit design.

video:

Smart dustbins is a new idea of implementation which makes a normal dustbin into smart using ultrasonic sensors for garbage level detection, IR sensor-1 for human hand detection, and user can monitor the dust level of the bin using LCD display. User can get the alert intimation if the dust bin is full through BLUETOOTH. Servo motor for automatic door open and close of the bin. The smart street light IR snsor-2 for vehicle detection, LDR for day/night sensor. High power LEDs for street lights. Data transmitting between two sections using Lora technology. The main controlling device is Arduino, PIC Microcontroller. The microcontrollers used in the project is programmed using Embedded C language.

Garbage system:

The main controlling device of the whole system is an arduino microcontroller.SR04, Bluetooth, LCD display, Servo motor and IR SENSOR is interfaced to the arduino micro controller. The arduino microcontroller continuously read the data from sensors. When the IR SENSOR detect the hand then data is fed to the arduino. The arduino opens the door of the bin with the help of servo motor. The arduino microcontroller monitors the dust levels on LCD display with the help of SR04 SENSOR and sends the alert intimation through Bluetooth when the dust bin is full with dust.

Automatic Street light system

The project aims in designing an efficient automatic intensity control of street lights in night time using LDR, IR sensor.

Our high power LED based street light controlling system is the result of this idea. This was designed with a vehicle detecting sensor using IR which is capable of sensing the arrival of a vehicle. If there is no vehicle on road, the lights will glow with low intensity. If the vehicle presence on the road the lights will glow with high intensity. This data is fed to the arduino microcontroller then Arduino transmits this data to the street light section through LoRa transmitter and this data received by LoRa receiver and process as this to the PIC Microcontroller and then microcontroller switches on the street lights.

The major features of this project are:

1. Different sensors used to know the status of the dustbin.
2. Intensity control of streetlight.
3. Using of Bluetooth and Lora technology.
4. Visible alert using LCD display.
5. Using of ARDUINO, PIC Microcontroller to archive this task.

The major building blocks of this project are:

1. Regulated Power Supply with 7805 voltage regulator.
2. Arduino.
3. PIC Microcontroller.
4. Lora modules.
5. Bluetooth.
6. IR sensors.
7. LDR.
8. LCD display.
9. Servo motor.
10. Hi power leds.

Software’s used:

1. Embedded C programming.
2. Arduino IDE Studio,PIC C compiler for dumping code into arduino controller.
3. Express SCH for Circuit design.

BLOCK DIAGRAM:

video:

In this project we are using LoRa Radio 868MHz, which is a transceiver features the LoRa long range modem that provides ultra-long range spread spectrum communication and high interference immunity whilst mini-missing current consumption. This Lora module will transmit the vehicle location to the monitoring section. GPS module is uses for vehicle tracking.

ESP32 will continuously take the location from GPS module in the form of latitude and longitude values and sending this location to the monitoring section will be displays on LCD. To transmits the data wirelessly between two section we are using LoRa technology. The main controlling device of the project is Arduino Nano which is interfaced to the input and output modules and take the necessary action upon the situation. The Microcontroller is loaded with a program written in embedded ‘C’ language to perform the task.

Features:

1. GPS based vehicle location tracking system.
2. Using LoRa (ultra-long-range) wireless module for data transmission.
3. Monitoring the location values on LCD.
4. To achieve this task using Arduino nano micro controller.

This project provides learning’s on the following advancements:

1. Characteristics of GPS.
2. LoRa working.
3. Interfacing LCD to the microcontroller.
4. Interfacing modules to the microcontroller.
5. Embedded C programming.

The major building blocks of this project are:

1. Adapter power Supply.
2. ESP32 Micro Controllers.
3. GPS receiver module.
4. LCD displays.
5. LoRa modules.

Software’s Used:

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

Block Diagram:

video:

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