Abstract
Abstract: Road accidents are increasing daily as the number of automobiles rises. An annual global death toll of 1.4 million and an injury toll of 50 million are reported by the World Health Organisation (WHO). The absence of medical assistance at the scene of the accident or the lengthy response time during the rescue effort are the main causes of mortality. We can reduce delays in a rescue operation that has the potential to save many lives by using cognitive agent-based collision detection and a smart accident alarm and rescue system. To gather and send accident-related data to the cloud or server, the suggested system consists of a vibration sensor, accelerometer, alcohol sensor, IR sensor, GPS module, camera, and Raspberry Pi. When any accident happens, the module immediately sends accident-related data to the cloud and through the Virtuo 6 application.
Cite
CITATION STYLE
Patil, V., More, A., Mahajan, M., & Gholap, H. (2023). AI and IOT Based Road Accident Detection and Reporting System. International Journal for Research in Applied Science and Engineering Technology, 11(5), 6977–6982. https://doi.org/10.22214/ijraset.2023.53315
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.