Digitizing parking area availability information using Canny algorithm based on Android application: Digitalisasi informasi ketersediaan lahan parkir menggunakan algoritma Canny berbasis aplikasi Android

Suci Ramadona; Wira Indani; Mochamad Susantok; Maya Rahayu

doi:10.35313/jitel.v2.i1.2022.85-94

Authors

Suci Ramadona Politeknik Caltex Riau
Wira Indani Politeknik Caltex Riau
Mochamad Susantok Politeknik Caltex Riau
Maya Rahayu Politeknik Negeri Bandung

DOI:

https://doi.org/10.35313/jitel.v2.i1.2022.85-94

Keywords:

tempat parkir, Android, algoritma Canny, IP camera, optical flow

Abstract

The Covid-19 pandemic is a factor in accelerating digital transformation in all aspects of community needs, especially in the parking area. Unmonitored and non-digitalized parking lots can cause delays that increase the transmission of Covid-19. In this study, a parking digitization system is created to make it easier for the public to know how dense is the area of ??the location to be visited, as well as a vacant area that can be occupied to park vehicles by users of the parking lot through a smartphone application. This study uses the Canny algorithm through an optical flow process captured by the IP Camera, next the data is processed and presented in the Android application. From the system that has been made, the system detects the presence of vehicles with an accuracy of above 95%.

References

R. A. Harahap, E. P. Wibowo, and R. K. Harahap, “Detection and simulation of vacant parking lot space using EAST algorithm and haar cascade,” in 2020 5th Int. Conf. Informatics Comput. ICIC 2020, 2020, pp. 1-5.

T. Singh, S. S. Khan, and S. Chadokar, “A Review on Automatic Parking Space Occupancy Detection,” in 2018 Int. Conf. Adv. Comput. Telecommun. ICACAT 2018, 2018, pp. 1-5.

J. Liu, M. Mohandes, and M. Deriche, “A multi-classifier image based vacant parking detection system,” in Proc. IEEE Int. Conf. Electron. Circuits, Syst., 2013, pp. 933-936.

D. K. Manase, Z. Zainuddin, S. Syarif, and A. K. Jaya, “Car Detection in Roadside Parking for Smart Parking System Based on Image Processing,” in Proc. - 2020 Int. Semin. Intell. Technol. Its Appl. Humanification Reliab. Intell. Syst. ISITIA 2020, 2020, pp. 194-198.

D. Poddar, S. Nagori, M. Mathew, D. Maji, and H. Garud, “Deep Learning based Parking Spot Detection and Classification in Fish-Eye Images,” in 2019 IEEE Int. Conf. Electron. Comput. Commun. Technol. CONECCT 2019, 2019, pp. 1-5.

S. E. Shih and W. H. Tsai, “A convenient vision-based system for automatic detection of parking spaces in indoor parking lots using wide-angle cameras,” IEEE Trans. Veh. Technol., vol. 63, no. 6, pp. 2521–2532, 2014.

C. K. Chiou and J. C. R. Tseng, “An intelligent classroom management system based on wireless sensor networks,” in 2015 8th Int. Conf. Ubi-Media Comput. UMEDIA 2015 - Conf. Proceedings, 2015, pp. 44–48.

R. M. Nieto, A. G. Martin, A. G. Hauptmann, and J. M. Martínez, “Automatic vacant parking places management system using multicamera vehicle detection,” IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 3, pp. 1069-1080, 2018.

P. Pavithra, A. J. Shet, A. Killikyatar, A. Kumar, and F. B. Ropmay, “Autonomous self-parking robot,” in Proc. - 2018 Int. Conf. Des. Innov. 3Cs Comput. Commun. Control. ICDI3C 2018, 2018, pp. 120-123.

C. X. Deng, G. B. Wang, and X. R. Yang, “Image Edge Detection algorithm based on Improved Canny Operator”, in International Conference on Wavelet Analysis and Pattern Recognition, 2013, pp. 168-172.

M. Taghizadeh and M. Hajipoor, “A Hybrid Algorithm for Segmentation of MRI Images Based on Edge Detection”, in International Conference of Soft Computing and Pattern Recognition, 2011, pp. 107-111.

R. Biswas and J. Sil, “An Improved Canny Edge Detection Algorithm Based on Type-2 Fuzzy Sets,” Procedia Technology, vol. 4, pp. 820-824, 2012.