International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 04 | Apr 2025
p-ISSN: 2395-0072
www.irjet.net
SMART HELMET WITH EMERGENCY NOTIFICATION USING 5G TECHNOLOGY Prof.(Dr).S.J.Patil1, Gayatri Salunkhe2, Asmita Pawar3, Anushri Powar 4 1234Research Scholar, Dept. of Electronics & Telecommunications Engineering, DKTE Society’s Textile &
Engineering Institute (An Empowered Autonomous Institute), Ichalkaranji., Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract: - Motorcycles in India exhibit a disproportionately high fatality rate compared to other vehicles. Consequently, simply wearing a helmet is inadequate to prevent accidents or mitigate fatalities. This research presents the Smart Helmet with Emergency Notification System (SHENS) as an advanced solution to this critical safety concern. The SHENS is engineered not only to provide head protection but also to enhance rider safety by autonomously alerting emergency services or pre-designated contacts in the event of an accident. The system integrates sensors, including a gyroscope and accelerometer, to assess the rider’s condition and determine the precise location of the incident. Leveraging the Quectel RM500Q 5G module with Global Navigation Satellite System (GNSS) functionality, the helmet transmits real-time geolocation data to emergency responders, facilitating rapid assistance. By ensuring prompt medical intervention during road accidents, this smart helmet has the potential to significantly reduce fatalities and improve post-crash survival rates.
software, and data processing frameworks [2]. The SHENS system is an IoT-driven innovation leveraging advanced sensor networks and communication modules to analyze accident conditions and initiate real-time emergency response mechanisms. The operational algorithm, detailed in the implementation section, illustrates the system’s functionality in detecting accidents and facilitating timely medical intervention, thereby reducing fatalities. Given its life-saving potential, this system could become an indispensable personal safety accessory, akin to smartphones.
2. Literature Review Extensive research has been conducted in the domain of road accident prevention and victim assistance to minimize fatalities and enhance travel safety. A summary of notable studies is presented below. The study in [3] investigates the enhancement of emergency notification systems in vehicular accidents through machine-to-machine (M2M) communication. This approach autonomously classifies accident severity— minor, moderate, or major—based on sensor motion analysis, and subsequently notifies emergency services. Additionally, vehicle speed is determined using a Global Positioning System (GPS) module. However, the system has limitations, primarily due to the accelerometer sensor being installed on the vehicle's surface, which prevents an accurate assessment of the victim’s physical condition. Moreover, reliance on cloud-based services may introduce delays in regions with poor network connectivity.
Keywords— smart helmet; accident detection; emergency alert system; Quectel RM500Q; 5G communication; GNSS; real-time accident notification.
1.INTRODUCTION The exponential growth of the global population has led to numerous socio-economic challenges, significantly impacting transportation systems. With India accounting for approximately one-sixth of the world’s population, road travel has become increasingly strenuous due to the escalating number of vehicles. As of recent estimates, India has approximately 19.75 million registered vehicles [1], contributing to severe road congestion and overcrowding. These conditions, compounded by inadequate infrastructure, are major factors leading to frequent road accidents. Statistical data indicate that nearly 400 fatalities occur daily due to road accidents in India, exacerbated by a lack of individual social responsibility in ensuring road safety. mitigates these challenges, the proposed system introduces an autonomous Smart Helmet with an Emergency Notification System (SHENS), designed to provide immediate assistance in accident scenarios. The Internet of Things (IoT) has emerged as a revolutionary technology, enabling intelligent solutions through integrated hardware,
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Impact Factor value: 8.315
A. Helmet Activation Using Infrared Sensor The infrared (IR) sensor is employed to detect whether the helmet is worn by the rider. It consists of an IR transmitter and receiver, which detect obstacles based on reflected infrared rays. When the helmet is worn, the sensor detects the rider’s head as a constant obstacle, keeping the system active. If removed, the sensor deactivates the helmet, preventing false emergency alerts caused by accidental helmet falls. This mechanism is crucial for ensuring accurate emergency notifications in SHENS.
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