Overspeed Detection using Image Processing for Indian Highways 
Punith B Kotagi1, Punith Kumar N2, Parishwanath Madakari3, Omkar V H4, Vishwanath5
1Punith B Kotagi*, Assistant Professor, Department of Civil Engineering, The National Institute of Engineering, Mysuru, India.
2Punith Kumar N, Undergraduate Student, Department of Civil Engineering, The National Institute of Engineering, Mysuru, India.
3Parishwanath Madakari, Undergraduate Student, Department of Civil Engineering, The National Institute of Engineering, Mysuru, India.
4Omkar V H Undergraduate, Student, Department of Civil Engineering, The National Institute of Engineering, Mysuru, India.
5Vishwanath, Undergraduate Student, Department of Civil Engineering, The National Institute of Engineering, Mysuru, India.
Manuscript received on June 08, 2020. | Revised Manuscript received on June 25, 2020. | Manuscript published on June 30, 2020. | PP: 1202-1207 | Volume-9 Issue-5, June 2020. | Retrieval Number: E1123069520/2020©BEIESP | DOI: 10.35940/ijeat.E1123.069520
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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: Over speeding of vehicles is the major cause of accidents in recent times. Monitoring of such over speeding vehicles especially on highways is of prime importance. Many manual methods are being used to detect the over speeding vehicles by traffic control team. However, these methods require lot of man power and continuous monitoring by traffic personnel. In this study, an attempt is made to develop an automatic speed monitoring system, which provides a simple way to monitoring speeds of all the vehicles from a centralized control room. This system calculates the instantaneous speed of vehicle with help of sensors and the over speeding vehicle is detected using an image processing technique using Python programming language. The developed model is validated with real world traffic data and comparative analysis of speeds obtained by manual method and developed model shows that model truly represents the field condition.
Keywords: Image processing, Speed detection, Traffic management, Traffic operation