IoT-Driven Intelligent Monitoring Framework for Bikes

Article Sidebar

Main Article Content

Kalyani Mahakal

Abstract: The Smart Bike Monitoring System uses IoT since it is an advanced solution incorporating Internet of Things (IoT) technology into two-wheelers to improve safety, performance, and environmental awareness. Various sensors as well as devices are integrated within the system to collect real-time data. This data comes directly from the bike and from its surrounding environment. Actionable perceptions get generated, faults become detected, also key performance metrics get monitored while this data is processed as well as analyzed for optimizing bike usage. The system is remaining continuously connected to the internet for use. Therefore, a web interface or mobile application lets bike owners monitor their vehicle remotely. The car follows lanes is a core feature plus automatic brakes prevent accidents plus real-time accident and emergency alerts are sent plus the car detects engine smoke/emission plus headlights activate automatically in dense fog plus real-time alerts and notifications are delivered. This thorough IoT-based solution does greatly improve rider safety vehicle efficiency and environmental responsibility.

IoT-Driven Intelligent Monitoring Framework for Bikes. (2025). International Journal of Latest Technology in Engineering Management & Applied Science, 14(13), 118-122. https://doi.org/10.51583/IJLTEMAS.2025.1413SP026

Downloads

References

P. C. Shreyas, A. Chandra, K. S. Prasad, and V. Kumar, “IoT Based Framework for Automobile Theft Detection and Driver Identification,” in Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), Sep. 2018.

Ameen, “Intelligent Bicycle Safety and Tracking System: A GPS and GSM Based Approach,” Jupiter: Publikasi Ilmu Keteknikan Industri, vol. 4, no. 2, pp. 15–21, 2020.

Z. Brijet, B. S. Kumar, and N. Bharathi, “Vehicle Anti Theft System Using Fingerprint Recognition Technique,” Open Academic Journal of Advanced Science and Technology, vol. 1, no. 1, pp. 36–41, Jan. 2017.

Mustafa, M. Ali, and H. Farooq, “Vehicle Intrusion and Theft Control System Using GSM and GPS – An Advance and Viable Approach,” arXiv preprint arXiv:2004.04589, Apr. 2020.

S. Sadhukhan, A. Acharyya, and R. Prasad, “Car Security System using Fingerprint Scanner and IoT,” Indian Journal of Science and Technology, vol. 10, no. 40, pp. 1–4, 2017.

B. P. S. Sahoo and S. Rath, “Integrating GPS, GSM and Cellular Phone for Location Tracking and Monitoring,” arXiv preprint arXiv:13073147, Jul. 2013.

N. A. Samsuri and S. Ambia, “Anti-Theft Motorcycle Alarm System Using GSM and GPS,” Elektrika, vol. 16, no. 1, Apr. 2017.

Article Details

How to Cite

IoT-Driven Intelligent Monitoring Framework for Bikes. (2025). International Journal of Latest Technology in Engineering Management & Applied Science, 14(13), 118-122. https://doi.org/10.51583/IJLTEMAS.2025.1413SP026