IOT BASED AUTOMATIC ACCIDENT DETECTION

  • Bhavana B, Shambhavi, Sheetal Chaware, Suhani, Sujata Lakka

Abstract

This paper addresses the concept of autonomously detecting accidents and monitoring vital patient information within an ambulance, without the need for human intervention. Accident detection occurs automatically through a simple setup embedded in the vehicle. In the event of an accident, this setup senses the occurrence and promptly transmits the accident's location to an ambulance. Upon receiving the coordinates, the ambulance promptly proceeds to the accident site. Once the victim is transferred to the ambulance, they are connected to another setup, which continuously monitors vital signs such as pulse, temperature, and blood pressure. Keywords: mental health, login page, natural language processing (NLP), dash board, professional consult, AI chat bot.
How to Cite
Bhavana B, Shambhavi, Sheetal Chaware, Suhani, Sujata Lakka. (1). IOT BASED AUTOMATIC ACCIDENT DETECTION. International Journal Of Innovation In Engineering Research & Management UGC APPROVED NO. 48708, EFI 5.89, WORLD SCINTIFIC IF 6.33, 11(8), 313-320. Retrieved from http://journal.ijierm.co.in/index.php/ijierm/article/view/2344