An Automated Unit for the Detection of Accident using Fuzzy Logic and IoT
Y.S.V. Raman1, A. Narendra Babu2, P. Sai Swaroop3, P. Nagarjuna4, D. Jaya Sri5, M. Omkar6
1Y.S.V. Raman, Department of Electronics & Communication Engg, Laki Reddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India.
2A. Narendra Babu, Department of Electronics & Communication Engg, Laki Reddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India.
3P. Sai Swaroop, Department of Electronics & Communication Engg, Laki Reddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India.
4P. Nagarjuna, Department of Electronics & Communication Engg, Laki Reddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India.
5D. Jaya Sri, Department of Electronics & Communication Engg, Laki Reddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India.
6M. Omkar, Department of Electronics & Communication Engg, Laki Reddy Bali Reddy College of Engineering, Mylavaram, Andhra Pradesh, India.
Manuscript received on 30 May 2019 | Revised Manuscript received on 05 June 2019 | Manuscript published on 30 June 2019 | PP: 1860-1863 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6876058719/19©BEIESP
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Abstract: The accidents that occur from local roads to highways will cause a huge damage to human lives and also economical impression. The minor accidents do not impact on the lives and these can be resolved by the victim and there is no use of police and rescue team for saving the lives and wasting the valuable time. The problem arises in detecting the major accident and delivering the emergency services to victim. The Automated system is a system that furnishes the detection of the accident and checks the chances of accident and sends the data to the users who are connected to local server. The users get the information regarding the status of accident, latitude and longitude through the connected local server. The idea is that whenever the vehicle meets an accident, the details should be received to police and nearby hospitals so that the lives can be rescued from danger. The proposed system involves the implementation of fuzzy logic as a decision supporter in analyzing the data received from sensors and predicting the extent of accident with good accuracy based on set of rules.
Keywords: Fuzzy Logic, Extent of Accident, GPS and Open Source IOT Platform
Scope of the Article: Fuzzy Logic