Development and Implementation of an IP Core for Driver Assistance

Anjana, G; Riyas, K S

doi:10.1109/icetietr.2018.8529115

Cited by 1 publication

(1 citation statement)

References 7 publications

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“…The image processing is done in MATLAB to identify the signs by converting the images into text files using Xilinx. By doing so, they are assisting drivers to be notified of traffic signals to reduce accidents [9]. D. K. P. Gudavalli et al worked on a helmet-operated e-bike to reduce head injuries from road accidents and bike thefts.…”

Section: Related Workmentioning

confidence: 99%

A Smart System to Detect Bike Accidents and Reduce Casualties

Ridwan,

Mary,

Rana

et al. 2024

Preprint

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In this world people are a victim of traffic accidents so easily. It turns out more crucial when they cannot reach out for help. Overcrowdedness and ignorance of traffic rules and regulations are the main reasons for such accidents. The number of bikes in Dhaka has expanded dramatically as a result of the increased popularity of ride-sharing apps such as Pathao, Uber Moto, Shohoz, and others. As a result, bike accidents have become an everyday phenomenon. We have felt the need for an improved bike safety system that ensures bikers' proper emergency services. In this paper, we have proposed a system that constantly detects bike accidents using the MPU6050, SIM808, Raspberry Pi, and Arduino Uno. We also have used a USB camera to record the previous 30 seconds of the accident to identify the reason behind this misfortune. Furthermore, we have used a database to locate the nearest hospital for assistance. If an accident occurs, the sensors will trigger, capture the video information of why the accident has occurred, and send a message containing the number and location of the biker to the nearest hospitals, police stations, and emergency contacts.

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Section: Related Workmentioning

confidence: 99%