IoT based Speed Monitoring System based on Location of the Vehicle
Vikas Yadav1, Ashish Unadket2, B. Sivakumar3
1Ashish Unadket,* Department of Computer Science and Engineering, Kattankulathur Campus, SRM Institute of Science and Technology, Chennai, India.
2Vikas Yadav, Department of Computer Science and Engineering, Kattankulathur Campus, SRM Institute of Science and Technology, Chennai, India.
3Dr. B. Sivakumar, Department of Computer Science and Engineering, Kattankulathur Campus, SRM Institute of Science and Technology, Chennai, India.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 3217-3220 | Volume-8 Issue-6, March 2020. | Retrieval Number: F8233038620/2020©BEIESP | DOI: 10.35940/ijrte.F8233.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Nowadays there is an increasing amount of road accidents happening around the world. The amount of road accidents is especially high in metropolitan cities. The main reason for road accidents is almost always due to the negligence on part of the driver. Maximum number of Road Accidents occur due to over-speeding and drunk driving. This system helps detect over-speeding vehicles by directly implementing the particular hardware inside the vehicle itself and depending on the GPS position of the car and regional speed limits alert the authorities based on the violation. This technique helps us to reduce costs which need to be incurred to install speed cameras at roads at regular intervals. The system will detect the speed of the car, and in case of a violation the license plate number along with the registration details and the photo of the driver will be directly sent to the concerned authorities. This system aims to decrease the amount of accidents that happen across the globe and help conserve human lives. Road accident still remain one of the highest contributors to the loss of human life. For experimental results, we used raspberry pi and the GPS antenna for detection of over speed and alert the authorities on violation.
Keywords: GPS, GSM, Haversine, IOT.
Scope of the Article: System Integration.