Artificial intelligence

Abstract: In the article the possibility of using a smartphone with an integrated set of necessary technical means (several video cameras, accelerometers, gyroscope, magnetometer, GPS sensor, GSM and Wi-Fi wireless communication) for implementing the technology of video recording of vehicle speed is investigated and established. The main algorithmic and software components of a smartphone are proposed, which allow to identify and to accompany a vehicle, as well as to determine its speed. Installation and initial setup of the device is simple. It is only necessary to measure and enter in the device height of its arrangement. In the article the possibility of using a smartphone with an integrated set of necessary technical means for implementing the technology of video recording of vehicle speed is investigated and established. The smartphone has a low cost and power consumption, the ability to operate in the required temperature range, as well as a set of physically built-in necessary technical means: several video cameras, accelerometers, gyroscope, magnetometer, GPS sensor, GSM and Wi-Fi wireless communication. Due to its low power consumption, it can also run on solar panels during the day when no other power source is available. The cost of a smartphone with very good characteristics does not exceed 10,000 UAH. The paper proposes the main components of the algorithmic support of the device. The use of the Lucas-Kanade method for the implementation of tracking and the calculation in the interpixel space of the coordinates of the points of the vehicle's trajectory will improve the accuracy of measurements of the traveled distance and the vehicle's speed on short sections of the trajectory. The proposed algorithm for calculating the vehicle speed requires entering only one parameter - the height of the device. Therefore, installation and initial setup of the device is simple. It is enough to measure and enter this parameter into the device. Large-scale introduction of a device for measuring vehicle speed, built on the basis of a smartphone, is possible due to relatively small investments in the development of its mechanical part, algorithmic and software.

Keywords: smartphone, computer vision, image processing, car speed determination

References:

1. B.S. Timofeev, A. A. Motyko. Izmerenie skorostej avtomobilej putyom analiza videoposledovatel'nosti. Informacionno- upravlyayushchie sistemy 2012. No 1. S. 1–7. URL: https://cyberleninka.ru/article/n/izmerenie- skorostey-avtomobiley-putem-analiza- videoposledovatelnosti (data zvernennia: 04.11.2020 r.).
2. N.Yu. Zolotykh, V.D. Kustikova, I.B. Meerov. Obzor metodov poiska i soprovozhdeniya transportnykh sredstv na potoke videodannykh. Vestnik Nizhegorodskogo universiteta im. N.I Lobachevskogo. 2012. 5(2). S. 348−358. URL: https://cyberleninka.ru/article/n/obzor- metodov-poiska-i-soprovozhdeniya-transportnyh- sredstv-na-potoke-videodannyh (data zvernennia: 04.11.2020 r.).
3. Lyubitelyam skorosti posvyashchaetsya: Chto sleduet znat' o zapuske sistemy avtofiksacii narushenij PDD. URL: https://zik.ua/ru/article/lyubitelyam_skorosti_posvy ashhaetsya_chto_sleduet_znat_o_zapuske_sistemy _avtofiksacii_narusheniy_pdd_970302 (data zvernennia: 04.11.2020 r.).
4. Razbor | 72 km mozhno! Vse, chto nado znat' o sisteme videofiksacii narushenij PDD. LІGA.Tech. URL: https://tech.liga.net/technology/cards/vse- chto-nado-znat-o-sisteme-videofiksatsii- narusheniy-pdd (data zvernennia: 04.11.2020 r.)
5. Multi Clinometer-Home. URL: http://www.apps.physicssolutions.info/index_mobi le.html (data zvernennia: 04.11.2020 r.).
6. K.V. Murygin. Obnaruzhenie avtomobil'nykh nomerov na osnove smeshannogo kaskada klassifikatorov. Shtuchnij іntelekt. 2010. No 2. S. 147−152. URL: http://dspace.nbuv.gov.ua/bitstream/handle/123456 789/56142/18-Murygin.pdf?sequence=1 (data zvernennia: 04.11.2020 r.).
7. E.A. Makareckij, A.V. Ovchinnikov, Nguen Liem Khieu. Televizionnye izmeritel'nye sistemy kontrolya skorostnogo rezhima dorozhnogo dvizheniya. Komponenty i tekhnologii. 2007. No 4. S. 34–37. URL: https://cyberleninka.ru/article/n/televizionnye- izmeritelnye-sistemy-kontrolya-skorostnogo- rezhima-dorozhnogo-dvizheniya (data zvernennia: 04.11.2020 r.).
8. Vychislenie opticheskogo potoka metodom Lukasa-Kanade [Ehlektronnyj resurs]. Mnogofunkcional'nyj sajt. URL: http://habrahabr.ru/post/169055 (data zvernennia: 04.11.2020 r.).
9. V.P. Boiun, P.Yu. Sabelnikov, Yu.A. Sabelnikov. Prystrii obrobky videodanykh dlia avtomatychnoho suprovodzhennia obiekta, vyznachenoho u zobrazhenni operatorom. Nauka ta innovatsii. 2016, No 12(2). S. 29−39. doi: http://dx.doi.org/10.15407/scin12.02.029.