• Pranav Manoj Dalvi
• Kaiyum Firoz Mujawar
• Prathamesh Krushnaji Bhingare
• Aaradhya Manoj Shigwan

In recent years, the integration of Internet of Things (IoT) technology into various domains has revolutionized how we monitor and manage assets. This paper presents a novel IoT-based condition monitoring system tailored specifically for motorcycles, aiming to improve both rider safety and vehicle performance. The proposed system incorporates a network of sensors strategically positioned on critical components of the motorcycle, including the engine, coolant. These sensors continuously collect real-time data on parameters such as engine temperature, RPM, brake pressure, tire pressure, and lean angle. The data is wirelessly transmitted to a centralized control unit, which employs advanced analytics and machine learning algorithms to process and analyse the information. By monitoring key metrics in real-time, the system can detect deviations from normal operating conditions, identify potential faults or malfunctions, and provide timely alerts to the rider through a smartphone application or dashboard interface. These alerts enable proactive maintenance scheduling and help prevent catastrophic failures, thereby enhancing rider safety and reducing the risk of accidents. Furthermore, the IoT-enabled condition monitoring system facilitates predictive maintenance by predicting component failures based on data trends and usage patterns. This predictive approach minimizes downtime and maintenance costs while maximizing the lifespan and reliability of motorcycle components. Additionally, the system offers valuable insights into rider behaviour, road conditions, and vehicle performance, which can be utilized by manufacturers, insurers, and transportation authorities to improve product design, develop safer riding practices, and enhance overall road safety. In conclusion, the proposed IoT-based condition monitoring system represents a significant advancement in motorcycle technology, offering a smart and proactive approach to enhance safety, performance, and reliability for riders and manufacturers alike.

IoT Sensors, Bike Health Monitoring, Predictive Maintenance, Real Time Data Acquisition, Vibration Analysis, Temperature Sensors, Accelerometers, Wireless Connectivity, Cloud Based Analytics, Fault Detection.

"Condition Monitoring of Bikes using IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.k195-k200, April-2024, Available :http://www.jetir.org/papers/JETIR2404A26.pdf

"Condition Monitoring of Bikes using IoT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppk195-k200, April-2024, Available at : http://www.jetir.org/papers/JETIR2404A26.pdf