Authors : Abhinav Shukla, Aditya Pandit
Abstract: eople all throughout the world are increasingly using automobiles, particularly motorcycles, as their primary mode of mobility. Aside from the increase in motorcycle users, motorcycle robbery has been on the rise for quite some time. In this regard, a framework for motorbike burglary anticipation that is less demanding and faster has been developed. The customer of this framework will be notified via an alert if the motorcycle is transferred to a long distance or if any cables are disconnected and stolen. Bike theft is readily detected using Raspberry Pi Technology, which uses hardware-based relay operations that are linked to software in a mobile application. Whenever the bike is attempted to be stolen or escapes without being seen by the user, the relay circuit in the bike activates and emits a buzzer sound with bright illumination, indicating an alarm to the user in his/her mobile application. Another system concept was to notify a relative user in the event of a bike collision in any situation and to indicate fuel levels in two-wheelers in litres. Both systems are reliant on smartphone applications such as blynk and Google Assistant, which allows the user to issue an alarm to the user who is grappling with an accident. A gyroscope mounted on the bike sends signals to the Raspberry Pi, which sends notifications to the rider at any moment. In the other instance, if the user is not injured, he or she can reset the system's functionality. Finally, users may have difficulties determining trip plans due to the analogue depiction of gasoline in a two-wheeler. So, in this system, ultrasonic technology installed in the bike at the fuel tank lid monitors the gasoline level in the bike and provides the data to the user via the same mobile application using a Raspberry Pi.
Keywords:Raspberry Pi, Accelerometer, Vibration sensor, Ultrasonic sensor, Global Positioning System (GPS), Global System for Mobile Communication(GSM), Internet access Google Assistant
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