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Utilization of LiFi Technology for Black Box in Ground Vehicles
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The proposed system explores the utilization of LiFi technology as a communication medium for a “black box” system in ground vehicles, aimed at enhancing accident detection, data recording, and obstacle avoidance. The system is controlled using an Arduino Uno, which integrates multiple sensors and communication modules to ensure comprehensive monitoring and data collection. A MEMS sensor is used to detect the occurrence of accidents, while a metal detector identifies metallic objects in the vehicle’s surroundings. An ultrasonic sensor is employed for real-time obstacle detection to prevent potential collisions. Before an accident occurs, the system continuously records vehicle and environmental data using a voice module, and in the event of an accident, the recorded information is played back through a speaker for immediate analysis. LiFi technology is utilized to transmit critical data at high speed with improved security, while a Bluetooth module is incorporated to enable wireless control of the robot’s movement. The robot-based prototype uses DC motors driven by a motor driver, allowing responsive navigation based on sensor inputs and user commands received via Bluetooth. By combining real-time monitoring, intelligent control, dual wireless communication technologies, and automated data recording, the proposed system significantly improves vehicle safety and provides detailed accident analysis for next-generation ground vehicle black box applications.
Title: Utilization of LiFi Technology for Black Box in Ground Vehicles
Description:
The proposed system explores the utilization of LiFi technology as a communication medium for a “black box” system in ground vehicles, aimed at enhancing accident detection, data recording, and obstacle avoidance.
The system is controlled using an Arduino Uno, which integrates multiple sensors and communication modules to ensure comprehensive monitoring and data collection.
A MEMS sensor is used to detect the occurrence of accidents, while a metal detector identifies metallic objects in the vehicle’s surroundings.
An ultrasonic sensor is employed for real-time obstacle detection to prevent potential collisions.
Before an accident occurs, the system continuously records vehicle and environmental data using a voice module, and in the event of an accident, the recorded information is played back through a speaker for immediate analysis.
LiFi technology is utilized to transmit critical data at high speed with improved security, while a Bluetooth module is incorporated to enable wireless control of the robot’s movement.
The robot-based prototype uses DC motors driven by a motor driver, allowing responsive navigation based on sensor inputs and user commands received via Bluetooth.
By combining real-time monitoring, intelligent control, dual wireless communication technologies, and automated data recording, the proposed system significantly improves vehicle safety and provides detailed accident analysis for next-generation ground vehicle black box applications.
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Amaç:
Multiple skleroz (MS) hastalarında spektral optik koherens tomografi (OKT) ile
retina sinir lifi tabakası (RSLT)
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