Development of an App Enabled Smart Helmet for Real Time Detection and Reporting of Accidents

Abstract

In this paper we propose a solution to minimise the after effects of a motorcycle accident and also try to create a culture of helping someone in need anonymously. This is implemented using internet enabled Raspberry Pi Zero W with homemade pressure sensors embedded in the helmet. The working is fairly simple; the Raspberry Pi detects accident and its intensity via the MCP3008 Analog to Digital Converter IC and updates Google’s Firebase in real time. The app running on Android phone retrieves this data associated with the particular helmet ID and generates an alert sent to nearby hospitals and other authorities (if any). The app can also be used to help a third person who has met with an accident using its ‘Help Anonymously’ feature. The alert so generated contains the helmet’s owner’s name, location of accident and region-wise intensity of force measure for analytics. The alert is sent within 20 seconds, so if a person is conscious, the alert can be stopped using a PIN number.