Paper Key : IRJ************569
Author: Saurabh Sunil Patil,Madhuri Vishwas Patil,Chandrashekhar Purushottam Pawar,Avinash Taskar
Date Published: 10 Nov 2024
Abstract
In recent years, road safety has emerged as a critical public concern worldwide, especially in densely populated regions with high two-wheeler usage. Head injuries due to the non-use of helmets significantly contribute to the fatality and severity of accidents involving motorcycles and scooters. Governments and traffic authorities encourage helmet usage through laws and safety campaigns; however, compliance remains a challenge, often due to personal negligence or or the absence of enforcement mechanisms. The emergence of the Internet of Things (IoT) and advancements in computer vision technology have opened new possibilities for real-time, automated monitoring systems. These innovations offer a proactive approach to enforcing safety protocols, such as helmet use, by directly interacting with vehicle operation mechanisms. This project aims to design and implement an IoT-based Helmet Detection System - 'HelmetAlert'that automatically identifies whether a two-wheeler rider is wearing a helmet. If no helmet is detected, the system can activate warnings (such as a beeping sound) or even cut off engine power to encourage compliance with safety regulations. HelmetAlert utilizes a camera module to capture images or video of the rider, with an Arduino or Raspberry Pi functioning as the primary processing unit. Through object detection algorithms, the system can analyse visual input in real-time to determine the presence or absence of a helmet. This approach leverages low-cost hardware components and open-source libraries, making the system not only scalable but also accessible for broader implementation. In this survey, we review existing literature on helmet detection, IoT-based road safety systems, and the use of embedded devices in object detection, with the goal of positioning HelmetAlert as an innovative solution to enhance rider safety.
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