Helmet Detection Based on Cascade Classifier and Adaptive Boosting

Ajib Susanto, Yupie Kusumawati

Abstract


The increasing number of traffic accidents caused by motorcyclists not wearing helmets has led to an increase in the number of studies related to road safety surveillance. The research system used is an automatic system to detect whether the motorcyclist is wearing a helmet or not. Many studies use image processing systems, deep learning and computer vision. In this research, Cascade Classifier and Adaptive Boosting have been implemented for the process of identifying motorcycle riders with helmets and without helmets. The number of datasets used is 500 datasets with labels on the image of the driver with a helmet and the image of the driver without a helmet. Based on the test results, an accuracy of 90% has been obtained

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References


C. Raras and A. Widiawati, “Automatic RoI dan Active Contour untuk Deteksi Penggunaan Helm pada Pengendara Sepeda Motor,” JISA (Jurnal Inform. dan Sains), vol. 02, no. 02, pp. 41–46, 2019.

B. Widodo, H. A. Armanto, and E. Setyati, “Deteksi Pemakaian Helm Proyek Dengan Metode Convolutional Neural Network,” J. Intell. Syst. Comput., vol. 3, no. 1, pp. 23–29, Apr. 2021.

K. Gunadi, E. Setyati, and J. S. Surabaya, “Deteksi Helm pada Pengguna Sepeda Motor dengan Metode Convolutional Neural Network,” Junral INFRA, vol. 8, no. 1, 2020.

R. S. Huda, R. Wulaningrum, and D. Swanjaya, “TESSERACT-OCR,” JOUTICA, vol. 7, no. 2, pp. 592–598, 2022.

P. Sathe, A. Rao, A. Singh, R. Nair, and A. Poojary, “Helmet Detection And Number Plate Recognition Using Deep Learning,” 2022 IEEE Reg. 10 Symp. TENSYMP 2022, no. May, pp. 3239–3243, 2022.

Dherya Bengani and Prof. Vasudha Bah, “Face Detection Using Viola Jones Algorithm,” Int. J. Mod. Trends Sci. Technol., vol. 6, no. 11, pp. 131–134, Nov. 2020.

D. A. Preetham, M. S. Rohit, A. G. Ghontale, and M. J. P. Priyadarsini, “Safety helmet with alcohol detection and theft control for bikers,” Proc. Int. Conf. Intell. Sustain. Syst. ICISS 2017, no. Iciss, pp. 668–673, 2018.

H. F. Satia Simbolon, Sawaluddin, and P. Sirait, “The Effect of Bicubic Interpolation on Viola-Jones and Principal Component Analysis in Detecting Faces and Helmet Wearers,” Mecn. 2020 - Int. Conf. Mech. Electron. Comput. Ind. Technol., pp. 158–164, 2020.

J. Huang, Y. Shang, and H. Chen, “Improved Viola-Jones face detection algorithm based on HoloLens,” EURASIP J. Image Video Process., vol. 2019, no. 1, p. 41, Dec. 2019.

C. Rahmad, R. A. Asmara, D. R. H. Putra, I. Dharma, H. Darmono, and I. Muhiqqin, “Comparison of Viola-Jones Haar Cascade Classifier and Histogram of Oriented Gradients (HOG) for face detection,” IOP Conf. Ser. Mater. Sci. Eng., vol. 732, no. 1, 2020.

C. Vishnu, D. Singh, C. K. Mohan, and S. Babu, “Detection of motorcyclists without helmet in videos using convolutional neural network,” in 2017 International Joint Conference on Neural Networks (IJCNN), 2017, pp. 3036–3041.

L. Liu, R. Han, X. Huang, X. Jiang, Q. Hong, and S. Gao, “Safety Helmet Detection Based on YOLOV3N,” Proc. - 2021 14th Int. Congr. Image Signal Process. Biomed. Eng. Informatics, CISP-BMEI 2021, pp. 24–29, 2021.

S. Sugianto, “DETEKSI ALAT PELINDUNG KEPALA (HELM) MENGGUNAKAN METODE HAAR CASCADE CLASSIFIER,” Joutica, vol. 4, no. 1, p. 189, Mar. 2019.

L. Shine and J. C. V., “Automated detection of helmet on motorcyclists from traffic surveillance videos: a comparative analysis using hand-crafted features and CNN,” Multimed. Tools Appl., vol. 79, no. 19–20, pp. 14179–14199, May 2020.

N. Boonsirisumpun, W. Puarungroj, and P. Wairotchanaphuttha, “Automatic Detector for Bikers with no Helmet using Deep Learning,” 2018 22nd Int. Comput. Sci. Eng. Conf., pp. 1–4, 2018.

H. Lin, J. D. Deng, D. Albers, and F. W. Siebert, “Helmet Use Detection of Tracked Motorcycles Using CNN-Based Multi-Task Learning,” IEEE Access, vol. 8, no. 3, pp. 162073–162084, 2020.

S. S. S. Sanjana, V. R. S. Gururaj, and V. K. Ashwini, “A review on various methodologies used for vehicle classification , helmet detection and number plate recognition,” Evol. Intell., no. 0123456789, 2020.

D. Yang, A. Alsadoon, P. W. C. Prasad, A. K. Singh, and A. Elchouemi, “An Emotion Recognition Model Based on Facial Recognition in Virtual Learning Environment,” Procedia Comput. Sci., vol. 125, no. 2009, pp. 2–10, 2018.

L. A. Elrefaei, D. H. Hamid, A. A. Bayazed, S. S. Bushnak, and S. Y. Maasher, “Developing Iris Recognition System for Smartphone Security,” Multimed. Tools Appl., vol. 77, no. 12, pp. 14579–14603, Jun. 2018.

N. K. A. Wirdiani, P. Hridayami, N. P. A. Widiari, K. D. Rismawan, P. B. Candradinata, and I. P. D. Jayantha, “Face Identification Based on K-Nearest Neighbor,” Sci. J. Informatics, vol. 6, no. 2, pp. 150–159, 2019.

Z.-L. He et al., “A method of green litchi recognition in natural environment based on improved LDA classifier,” Comput. Electron. Agric., vol. 140, pp. 159–167, Aug. 2017.

N. Ani Brown Mary and D. Dharma, “A novel framework for real-time diseased coral reef image classification,” Multimed. Tools Appl., vol. 78, no. 9, pp. 11387–11425, May 2019.

S. B. Setyawan, W. Pribadi, H. Arrosida, and E. P. Nugroho4, “SISTEM DETEKSI PENGENDARA SEPEDA MOTOR TANPA HELM DAN KELEBIHAN PENUMPANG PADA DENGAN MENGGUNAKAN YOLO V3,” in Seminar Nasional Terapan Riset Ino atif (SENT NOV) ke-VII, 2021, pp. 430–438.




DOI: https://doi.org/10.33633/jais.v8i2.7392

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Journal of Applied Intelligent System (e-ISSN : 2502-9401, p-ISSN : 2503-0493) is published by Department of Informatics Universitas Dian Nuswantoro Semarang and IndoCEISS.

  

 

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