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- Title
Sistem Penegakan Speed Bump Berdasarkan Kecepatan Kendaraan yang Diklasifikasikan Haar Cascade Classifier.
- Authors
Zulfikri, Muhammad; Yudaningtyas, Erni; Rahmadwati
- Abstract
Traffic accidents are frequent due to vehicles which drove at high speed. This research has developed a speed bump enforcement system which can give a warning for drivers in slowing the vehicle and gives comfort when driving at low speeds. Speed bump enforcement is based on the vehicle speed detected using the Haar Cascade Classifier method is used in detection, which is a combination of several concepts namely Haar Features, Integral Image, AdaBoost Learning, and Cascade Classifier. Testing is conducted using road traffic video on one way. The system is created using the python interpreter with the OpenCV library. Detection is obtained good results when carried out at high light intensity, and the detection accuracy rate is 97.92%. The calculation of vehicle speed is obtained by comparing the results of the speed on the system with the video in real time, as evidenced by the error rate with the MSE value of 2.88.
- Subjects
SPEED limits; LIGHT intensity; ERROR rates; SPEED bumps; SPEED
- Publication
Techno.com, 2019, Vol 18, Issue 2, p97
- ISSN
1412-2693
- Publication type
Article
- DOI
10.33633/tc.v18i2.2074