Humans can easily detect and identify objects present in an image. The human visual system is fast and accurate and can perform complex tasks like identifying multiple objects and detect obstacles with little conscious thought. For a long time, humans have been trying to make computers understand what is on the images. With the availability of large amounts of data, faster Graphics Processing Unit (GPU)s, and better algorithms, we can now easily train computers to detect and classify multiple objects within an image with high accuracy. The goal of this paper is to implement an object detection model suitable in terms of size and speed to run on an Android device and detect logos in real-time. The proposed approach is based on YOLOv2 (You Only Look Once) state-of-the-art, real-time object detection for logos and this project used the FlickrLogos-32 dataset. Theexperimental results show that we obtained a final accuracy of 82.3% and a speed of 35 fps (frames per second) on the NVidia GeForce GTX 1070
Humans can easily detect and identify objects present in an image. The human visual system is fast and accurate and can perform complex tasks like identifying multiple objects and detect obstacles with little conscious thought. For a long time, humans have been trying to make computers understand what is on the images. With the availability of large amounts of data, faster Graphics Processing Unit (GPU)s, and better algorithms, we can now easily train computers to detect and classify multiple objects within an image with high accuracy. The goal of this paper is to implement an object detection model suitable in terms of size and speed to run on an Android device and detect logos in real-time. The proposed approach is based on YOLOv2 (You Only Look Once) state-of-the-art, real-time object detection for logos and this project used the FlickrLogos-32 dataset. Theexperimental results show that we obtained a final accuracy of 82.3% and a speed of 35 fps (frames per second) on the NVidia GeForce GTX 1070
| № | Muallifning F.I.Sh. | Lavozimi | Tashkilot nomi |
|---|---|---|---|
| 1 | Primbetov A.. | ! | University of Tashkent for Applied Sciences, |
| № | Havola nomi |
|---|---|
| 1 | [1]Feh ́erv ́ari, I., Appalaraju, S. (2019, January). Scalable logo recognition using proxies. In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) (pp. 715-725). IEEE.[2]Su, Hang, Xiatian Zhu, and Shaogang Gong. ”Open logo detection challenge.” arXiv preprint arXiv: 1807.01964 (2018).[3]Oliveira, G., Fraz ̃ao, X., Pimentel, A., Ribeiro, B. (2016, July). Automatic graphic logo detection via fast region-based convolutional networks. In 2016 International Joint Conference on Neural Networks (IJCNN) (pp. 985-991).IEEE.[4]Hoi, S. C., Wu, X., Liu,H., Wu, Y., Wang, H., Xue, H., Wu, Q. (2015). Logo-net: Large-scale deep logo detection and brand recognition with deep region-based convolutional networks. arXiv preprint arXiv: 1511.02462.[5]Shafiee, M. J., Chywl, B., Li, F., Wong, A. (2017). Fast YOLO: AFast You Only Look Once System for Real-time Embedded Object Detection in Video. arXiv: Computer Vision and Pattern Recognition.[6]Feh ́erv ́ari, Istv ́an, and Srikar Appalaraju. ”Scalable logo recognition using proxies.” 2019 IEEE WinterConference on Applications of Computer Vision (WACV). IEEE, 2019.[7]Ren, S., He, K., Girshick, R., Sun, J. (2015). Faster R-CNN: towards real-time object detection with region proposal networks. Neural information processing systems.[8]S., He, K., Girshick, R., Sun, J. (2015). Faster r-cnn: Towards real-time object detection with region proposal networks. In Advances in neural information processing systems (pp. 91-99).[9]Le, Viet Phuong. ”Logo detection, recognition and spotting in context by matching local visual features.” PhD diss., Universit ́e de La Rochelle, 2015.[10][10] Eggert, C., Brehm, S., Winschel, A., Zecha, D. and Lienhart, R., 2017, July. A closer look: Small object detection in faster R-CNN. In 2017 IEEE international conference on multimedia and expo (ICME) (pp. 421-426). IEEE.[11]Saitov E.B., Akhmedov U.M. Tracking maximum power point of photovoltaic modules, AIP Conference Proceedings, 2023, 2789, 060005, https://doi.org/10.1063/5.0145470[12]Zikrillayev N., Ayupov K.a Mamarajabova Z.b, Yuldoshev I.a, Saitov E.a, Sabitova I.a Adaptation and optimization of a photovoltaic system for a country house, E3S Web of Conferences, 2023, 383, 04054, https://doi.org/10.1051/e3sconf/202338304054 [13]Saitov, E., Kudenov, I., Qodirova, F., Askarov, D., Sultonova, M. Analysis of the performance and economic parameters of different types of solar panels taking into account degradation processes. E3S Web of Conferences, 2023, 383, 04059 https://doi.org/10.1051/e3sconf/202338304059 [14]Saitov, E., Khushakov, G., Masharipova, U., Mamasaliyev, O., Rasulova, S. Investigation of the working condition of large power solar panel cleaning device. E3S Web of Conferences, 2023, 383, 04060, https://doi.org/10.1051/e3sconf/202338304060 [15]Zikrillayev, N., Saitov, E., Toshov, J., Muradov, B., Muxtorov, D. Autonomous Solar Power Plant for Individual use Simulation in LTspice Software Package Booster Voltage Converter. Proceedings of International Conference on Applied Innovation in IT,2023, 11(1), pp. 207–211, https://doi:10.25673/101939 [16]Yuldoshov, B., Saitov, E., Khaliyarov, J., Toshpulatov, S., Kholmurzayeva, F. Effect of Temperature on Electrical Parameters of Photovoltaic Module. Proceedings of International Conference on Applied Innovation in IT, 2023, 11(1), pp. 291–295, https://doi:10.25673/101957 [17]Saitov, E., Jurayev, O., Axrorova, S., Ismailov, J., Baymirzaev, B. Conversion and use of Solar Energy Calculation Methodology for Photovoltaic Systems, Proceedings of International Conference on Applied Innovation in IT, 2023, 11(1), pp. 227–232, https://doi:10.25673/101942 [18]Zikrillayev, N.F., Shoabdurahimova, M.M., Kamilov, T., Norkulov, N., Saitov, E.B. Obtaining manganese silicide films on a silicon substrate by the diffusion method. Physical Sciences and Technology, 2022, 9(2), pp. 89–93, https://doi.org/10.26577/phst.2022.v9.i2.011 [19]Zikrillayev, N.F., Saitov, E.B., Ayupov, K.S., Yuldoshev, I.A. Determination of the resistance of external parameters to the degradation of the parameters of silicon photocells with input nickel atoms. Physical Sciences and Technology, 2022, 9(1), pp. 30–36, https://doi.org/10.26577/phst.2022.v9.i1.04[20]Saitov, E.B., Kodirov, Sh., Beknazarova, Z.F., Nortojiyev, A., Siddikov, N. Developing Renewable Sources of Energy in Uzbekistan Renewable Energy Short Overview: Programs and Prospects. AIP Conference Proceedings, 2022, 2432, 020015, https://doi.org/10.1063/5.0090438[21]E. B. Saitov; T. B. Sodiqov. Modeling an autonomous photovoltaic system in the MATLAB Simulink software environment, AIP Conf. Proc. 2432, 020022 (2022), https://doi.org/10.1063/5.0089914 [22]E. B. Saitov, Sh. Kodirov, B. M. Kamanov, N. Imomkulov, I. Kudenov, Increasing the efficiency of autonomous solar photovoltaic installations for power supply of agricultural consumers, AIP Conf. Proc. 2432, 040036 (2022), https://doi.org/10.1063/5.0090439 [23]F. Zikrillayev, E. B. Saitov, J. B. Toshov, B. K. Ilyasov, M. B. Zubaydullayev, A software package for determining the optimal composition and parameters of a combined autonomous power supply system based on renewable energy sources, AIP Conf. Proc. 2432, 020021 (2022), https://doi.org/10.1063/5.0090460 [24]Zikrillayev Nurullo, Toshov Javohir, Saitov Elyor, Sodikov Temur, Development and selection of equipment for a peak autonomous photo power plant, AIP Conf. Proc. 2552, 030020 (2023) https://doi.org/10.1063/5.0117594[25]Turabdjanov Sadritdin, Toshov Javohir, Saitov Elyor, Axmedov Usmonjon, Research of electrophysical parameters of different types of solar panels taking into account degradation processes, AIP Conf. Proc. 2552, 030019 (2023), https://doi.org/10.1063/5.0117592 [26]Yu.M.Kurbonov, E.B.Saitov and B.M.Botirov, Analysis of the influence of temperature on the operating mode of a photovoltaic solar station, IOP Conference Series: Earth and Environmental Science, Volume 614, 1st International Conference on Energetics, Civil and Agricultural Engineering 2020 14-16 October 2020, Tashkent, Uzbekistan, Citation 2020 IOP Conf. Ser.: Earth Environ. Sci. 614 012034, https://doi:10.1088/1755-1315/614/1/012034[27]E.B. Saitov, Optimal model for additional operation of the storage system for photovoltaic wind power plants, E3S Web of Conferences 220, 01080 (2020), https://doi.org/10.1051/e3sconf/202022001080 [28]E.B.Saitov, Y.B.Sobirov, I.A.Yuldoshev, I.R. Jurayev and Sh.Kodirov, Study of Solar Radiation and Wind Characteristicsin Various Regions of Uzbekistan, E3S Web of Conferences 220, 01061 (2020), https://doi.org/10.1051/e3sconf/202022001061 [29]E.B.Saitov, J.B.Toshov, A.O.Pulatov, B.M.Botirov and Yu.M.Kurbanov, Networked interactive solar panels over the roof photovoltaic system (PVS) and its cost analysis at Tashkent state technical University, E3S Web of Conferences216, 01133 (2020), https://doi.org/10.1051/e3sconf/202021601133 [30]E.B. Saitov, Renewable energy development in Uzbekistan: current status, problems and solutions,E3S Web of Conferences 216, 01134 (2020), https://doi.org/10.1051/e3sconf/202021601134[31]Sanjar Shoguchkarov, Isroil Yuldoshev, Elyor Saitov and Alisher Boliev, The effect of the surface geometry of a photovoltaic battery on its efficiency, E3S Web of Conferences 216, 01149 (2020), https://doi.org/10.1051/e3sconf/202021601149[32]I.Sapaev, E.Saitov, N.Zoxidov and B.Kamanov, Matlab-model of a solar photovoltaic station integrated with a local electrical network, IOP Conference Series: Materials Science and Engineering, Volume 883, International Scientific Conference Construction Mechanics, Hydraulics and Water Resources Engineering (CONMECHYDRO –2020) 23-25 April 2020, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, Uzbekistan, https://doi:10.1088/1757-899X/883/1/012116[33]Javoxir Toshov and Elyor Saitov, Portable autonomous solar power plant for individual use, E3S Web of Conferences 139, 01087 (2019), https://doi.org/10.1051/e3sconf/201913901087 [34]M. K. Bakhadyrkhanov, S. A. Valiev, N. F. Zikrillaev, S. V. Koveshnikov, E. B. Saitov & S. A. Tachilin, Silicon photovoltaic cells with clusters of nickel atoms, Direct Conversion of Solar Energy into Electric Energy, Published: 22 February 2017. Volume 52, pages 278–281, (2016), https://doi.org/10.3103/S0003701X1604006X |