HVS-4724. AI-INTEGRATED RF WIRELESS COMMUNICATION ASSISTANT FOR ILLITERATE PASSENGERS IN AIRLINES.

hvsadmin — Mon, 11 May 2026 12:37:14 +0000

Air travel can be a challenging experience for illiterate or low-literacy passengers, particularly when faced with unfamiliar languages, written instructions, or digital interfaces. These barriers often lead to confusion, miscommunication, and a dependence on others for even basic needs. To address this issue, this project proposes an AI-powered communication assistant that uses Image recognition and RF wireless technology to help such passengers interact easily with cabin crew and navigate onboard services without reading or writing. The core components of the system include a wearable or seat-integrated device equipped with a RF module, along with a multilingual AI engine for image processing. Cabin crew receive translated alerts on a tablet or mobile device, complete with passenger identity and location data. This solution ensures real-time, accessible communication for illiterate passengers, enhancing safety, comfort, and inclusivity during air travel. Additionally, by integrating RF tracking and predefined commands, the system minimizes crew workload and streamlines passenger support, especially during emergencies or service requests.

In this project we use Touch screen Technology to make it easy even to illiterates as it is also included with images behind touch screen module, which indicates the needs. This even reduces the difficulty to airhostess in receiving the customers with different languages. Here for wireless communication purpose we use RF technology.

This project consists of RF based system that transmits the wireless signals according to the input given by the user, using touch screen. At the receiver (airhostess) end the information will be displayed on LCD in English language. Here when the user sends his need through a gentle touch on touch screen, then micro controller transmits that information through RF transmitter. The information received by the RF receiver will be displayed on LCD.

The main objectives of the project are:

To assist illiterate or low-literacy passengers in air travel.
To enable communication through a touch-based interface with images.
To reduce language barriers between passengers and cabin crew.
To use RF technology for wireless transmission of passenger requests.
To display translated passenger requests on an LCD at the crew’s end.
To enhance safety, comfort, and inclusivity during flights.
To minimize crew workload and streamline passenger support.

The major building blocks of this project are:

Regulated power supply
PIC Microcontroller.
Arduino UNO.
LCD with Driver
Crystal Oscillator
TFT Touch Screen with Driver
RF modules.
Reset
LED Indicators
Buzzer with driver.

Software’s used:

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

Regulated Power Supply:

video:

HVS-4722. Image Based Calling System for Heart patients with Heart Beat Monitoring using AI

hvsadmin — Mon, 11 May 2026 11:48:31 +0000

This project presents an Image-Based Calling System for Heart Patients with Heartbeat Monitoring Using AI, designed to enhance patient safety through continuous health tracking and intelligent emergency response. The system is built around the Arduino Uno, which collects real-time data from a heartbeat sensor and a temperature sensor. This data is processed and displayed on both a TFT and LCD screen via appropriate driver circuits.

An AI algorithm analyzes the health data to detect abnormal conditions such as irregular heartbeats or abnormal body temperature. In the event of a critical reading, the system triggers a buzzer and LED indicators for immediate alert. Simultaneously, an image-based calling mechanism is activated to notify caregivers or medical personnel, ensuring timely intervention.

A regulated power supply ensures stable operation, while components like the crystal oscillator and reset switch help maintain system stability. This Arduino Uno-based solution is designed to be cost-effective, portable, and suitable for remote monitoring, especially for heart patients requiring constant care.

The main objective of this project:

To continuously monitor the heartbeat and body temperature of heart patients.
To detect abnormalities using AI algorithms.
To alert caregivers through an image-based calling system during emergencies.
To display real-time health data on TFT and LCD screens.
To provide audible and visual alerts for abnormal health conditions.
To ensure reliable and uninterrupted monitoring using a microcontroller-based system.