A\u0142maty \u2013 Khorgos (295 km)<\/li>\n<\/ul>\n\n\n\nNowy kazachski system jest hybryd\u0105 obejmuj\u0105c\u0105 tradycyjne punkty poboru op\u0142at znajduj\u0105ce si\u0119 na obu ko\u0144cach odcink\u00f3w autostrad oraz kamery ANPR. Kamery rozmieszczone s\u0105 zar\u00f3wno na bramkach, jak i na tzw. \u0142ukach kontrolnych nad drogami, gdzie odczytuj\u0105 i rozpoznaj\u0105 tablice rejestracyjne \u2013 z dok\u0142adno\u015bci\u0105 do 99,8% \u2013 a nast\u0119pnie przesy\u0142aj\u0105 dane do systemu centralnego, gdzie s\u0105 dopasowywane do potwierdze\u0144 p\u0142atno\u015bci. W ten spos\u00f3b KazAvtoZhol mo\u017ce skutecznie i precyzyjnie monitorowa\u0107 oraz kategoryzowa\u0107 wszystkie pojazdy, nawet je\u015bli nie wjecha\u0142y ani nie zjecha\u0142y z autostrady przez bramki. Dzi\u0119ki r\u00f3wnomiernemu rozmieszczeniu \u0142uk\u00f3w kontrolnych kierowcy mog\u0105 by\u0107 obci\u0105\u017cani op\u0142at\u0105 wy\u0142\u0105cznie za te odcinki (strefy), z kt\u00f3rych faktycznie korzystali.\"<\/p>\n\n\n\nBramownica z kamerami ANPR nad jedn\u0105 z autostrad.<\/figcaption><\/figure>\n\n\n\nKierowcy s\u0105 zach\u0119cani do wcze\u015bniejszego op\u0142acania korzystania z dr\u00f3g, co kosztuje o 50% mniej ni\u017c p\u0142atno\u015b\u0107 na bramkach. Ten inteligentny krok KazAvtoZhol zapobiega powstawaniu d\u0142ugich kolejek przy punktach poboru op\u0142at, a jednocze\u015bnie pokazuje kierunek rozwoju kazachskiego projektu automatyzacji systemu op\u0142at drogowych \u2013 o kt\u00f3rym wspomnimy wkr\u00f3tce.<\/p>\n\n\n\n
System wa\u017cenia w ruchu<\/h2>\n\n\n\n Poniewa\u017c ci\u0119\u017car\u00f3wki na tych trzech kazachskich autostradach s\u0105 obj\u0119te op\u0142atami w zale\u017cno\u015bci od ich masy, nowy system poboru op\u0142at musia\u0142 obejmowa\u0107 rozwi\u0105zanie zdolne skutecznie mierzy\u0107 mas\u0119 pojazd\u00f3w ci\u0119\u017carowych bez konieczno\u015bci ich zatrzymywania. Osi\u0105ga si\u0119 to dzi\u0119ki z\u0142o\u017conemu systemowi specjalnych zautomatyzowanych przyrz\u0105d\u00f3w pomiarowych (AIC SAIS), kt\u00f3re mierz\u0105 dynamiczne i statyczne parametry pojazd\u00f3w. Podczas pomiaru pozyskiwane s\u0105 nast\u0119puj\u0105ce dane:<\/p>\n\n\n\n
\nNumer rejestracyjny pojazdu<\/li>\n\n\n\n Pr\u0119dko\u015b\u0107<\/li>\n\n\n\n Klasa pojazdu<\/li>\n\n\n\n Wymiary<\/li>\n\n\n\n Liczba pojazd\u00f3w<\/li>\n\n\n\n Ca\u0142kowita masa pojazdu<\/li>\n\n\n\n Liczba osi<\/li>\n\n\n\n Liczba k\u00f3\u0142 (pas\u00f3w) na osi<\/li>\n\n\n\n Odleg\u0142o\u015b\u0107 mi\u0119dzy osiami<\/li>\n\n\n\n Nacisk na pojedyncz\u0105 o\u015b<\/li>\n\n\n\n Nacisk na grup\u0119 osi znajduj\u0105cych si\u0119 na jednym zawieszeniu<\/li>\n\n\n\n Nacisk na ka\u017cd\u0105 o\u015b w grupie osi<\/li>\n<\/ul>\n\n\n\nCho\u0107 r\u00f3\u017cne elementy systemu generuj\u0105 wi\u0119kszo\u015b\u0107 danych, wszystkie zdj\u0119cia pojazd\u00f3w oraz dane z tablic rejestracyjnych pochodz\u0105 z kamer ANPR.<\/p>\n\n\n\nKamery ANPR i iluminatory IR Adaptive Recognition na bramownicy nad kazachsk\u0105 autostrad\u0105.<\/figcaption><\/figure>\n\n\n\nWykorzystane rozwi\u0105zania Adaptive Recognition<\/h2>\n\n\n\n Poniewa\u017c precyzyjne rozpoznawanie tablic rejestracyjnych i kategoryzacja pojazd\u00f3w by\u0142y kluczowe dla automatyzacji kazachskiego systemu poboru op\u0142at drogowych, konieczne by\u0142o zastosowanie najnowocze\u015bniejszych rozwi\u0105za\u0144 ANPR. Dlatego KazAvtoZhol zwr\u00f3ci\u0142 si\u0119 do firmy Asia Great, kt\u00f3ra zarekomendowa\u0142a modele FreeWayCAM firmy Adaptive Recognition wraz z zewn\u0119trznymi iluminatorami podczerwieni oraz wiod\u0105cym na rynku oprogramowaniem ANPR, Carmen\u00ae FreeFlow.<\/p>\n\n\n\n
Chocia\u017c linia produktowa FreeWayCAM zosta\u0142a wycofana \u2013 a jej miejsce zaj\u0119\u0142a kamera Vidar ANPR\/LPR, \u0142\u0105cz\u0105ca trwa\u0142o\u015b\u0107 i niezawodno\u015b\u0107 FreeWayCAM z przetwarzaniem ANPR na pok\u0142adzie \u2013 kamery te wywar\u0142y du\u017ce wra\u017cenie na KazAvtoZhol. Ju\u017c w okresie testowym FreeWayCAM i Carmen\u00ae wyr\u00f3\u017cnia\u0142y si\u0119 wyj\u0105tkow\u0105 dok\u0142adno\u015bci\u0105 na poziomie 99,8%. Z tego powodu zakupiono ponad 150 kamer rozmieszczonych na trzech autostradach korzystaj\u0105cych z nowego zautomatyzowanego systemu poboru op\u0142at. Dodatkowo, od 2012 roku 32 z tych kamer wspiera r\u00f3wnie\u017c 20 stacji wa\u017cenia w ruchu, dostarczaj\u0105c precyzyjne dane z tablic rejestracyjnych oraz wysokiej jako\u015bci obrazy do cel\u00f3w kategoryzacji.<\/p>\n\n\n\nKamery ANPR Adaptive Recognition na jednej z bramek poboru op\u0142at w Kazachstanie.<\/figcaption><\/figure>\n\n\n\nJedn\u0105 z najwi\u0119kszych zalet produkt\u00f3w Adaptive Recognition jest ich odporno\u015b\u0107 na przysz\u0142e wymagania, niezale\u017cnie od daty produkcji. Kamery s\u0105 zaprojektowane tak, aby dzia\u0142a\u0142y przez wiele lat, co potwierdzaj\u0105 ich wytrzyma\u0142e obudowy oraz minimalna liczba element\u00f3w ruchomych. Mo\u017cna je r\u00f3wnie\u017c \u0142atwo przenosi\u0107 w inne lokalizacje, co b\u0119dzie przydatne w kolejnej fazie kazachskiego projektu automatyzacji poboru op\u0142at, kt\u00f3ra wyeliminuje u\u017cycie bramek poboru op\u0142at.<\/p>\n\n\n\n
Je\u015bli chodzi o oprogramowanie ANPR wsp\u00f3\u0142pracuj\u0105ce z kamerami, jego przysz\u0142o\u015bciowy charakter zapewniaj\u0105 ci\u0105g\u0142e ulepszenia szybko\u015bci i dok\u0142adno\u015bci rozpoznawania. Dzi\u0119ki temu Carmen\u00ae potrafi dzi\u015b rozpozna\u0107 ponad 38 000 typ\u00f3w tablic \u2013 w tym kazachskich, rosyjskich, chi\u0144skich i wielu innych.<\/p>\n\n\n\n
Jak wspomniano, kamery ANPR u\u017cyte w tym kazachskim projekcie nie s\u0105 ju\u017c dost\u0119pne. Ich ulepszonym nast\u0119pc\u0105 jest kamera do monitorowania ruchu Vidar. Jednak dzi\u0119ki wszechstronno\u015bci modelu Vidar, projekty takie jak automatyczny pob\u00f3r op\u0142at na kazachskich drogach mo\u017cna \u0142atwo realizowa\u0107 tak\u017ce z wykorzystaniem innych rozwi\u0105za\u0144 do monitorowania ruchu i poprawy bezpiecze\u0144stwa drogowego.<\/p>\n\n\n\n
Kamera wykrywania pr\u0119dko\u015bci Vidar<\/h3>\n\n\n\n Vidar Speed Detection Camera oferuje wszystko, czego potrzebuj\u0105 dostawcy system\u00f3w monitorowania ruchu. \u0141\u0105czy solidn\u0105 kamer\u0119 monitoruj\u0105c\u0105 z funkcj\u0105 rozpoznawania tablic rejestracyjnych oraz pomiarem pr\u0119dko\u015bci. Wbudowany radar 4D w ka\u017cdej jednostce nie tylko zapewnia wyniki pomiaru pr\u0119dko\u015bci z certyfikacj\u0105 METAS do 320 km\/h, ale tak\u017ce potrafi precyzyjnie i skutecznie rozr\u00f3\u017cnia\u0107 obiekty na podstawie pr\u0119dko\u015bci, odleg\u0142o\u015bci oraz k\u0105t\u00f3w poziomych i pionowych. Dane ANPR generowane przez procesor ANPR oparty na Carmen\u00ae stanowi\u0105 dodatkowy atut.<\/p>\n\n\n\nVidar Axle Counting Camera<\/h3>\n\n\n\n Vidar Axle Counting Camera jest cz\u0142onkiem rodziny Vidar zaprojektowanym do identyfikacji i zliczania osi. Kamera idealnie nadaje si\u0119 do r\u00f3\u017cnych zastosowa\u0144, w tym \u2013 cho\u0107 nie wy\u0142\u0105cznie \u2013 do system\u00f3w poboru op\u0142at drogowych. Wyr\u00f3\u017cnia si\u0119 na tle konkurencji dzi\u0119ki temu, \u017ce generuje zrekonstruowane obrazy typu side-scan zawieraj\u0105ce metadane dotycz\u0105ce liczby osi oraz kategorii pojazdu.<\/p>\n\n\n\n
Wykrywanie pojazd\u00f3w jest wyj\u0105tkowo precyzyjne dzi\u0119ki pierwszej w bran\u017cy wbudowanej technologii laserowego wyzwalania, uzupe\u0142nionej algorytmem detekcji pojazd\u00f3w opartym na obrazie. Ca\u0142o\u015b\u0107 zosta\u0142a umieszczona w tej samej solidnej obudowie z certyfikatami IK10 i IP67, z kt\u00f3rej znane s\u0105 wszystkie modele Vidar.<\/p>\n\n\n\nVidar PAX Passenger Counting Camera<\/h3>\n\n\n\n Jak ustali\u0107 liczb\u0119 pasa\u017cer\u00f3w pojazdu bez o\u015blepiania ich mocnymi lampami b\u0142yskowymi lub zatrzymywania pojazdu? Dzi\u0119ki rozwi\u0105zaniom takim jak dedykowana kamera Vidar PAX do zliczania i identyfikacji pasa\u017cer\u00f3w.<\/p>\n\n\n\n
Ten model z rodziny Vidar zosta\u0142 zaprojektowany do rejestrowania wysokorozdzielczych obraz\u00f3w umo\u017cliwiaj\u0105cych precyzyjne rozpoznawanie i identyfikacj\u0119 os\u00f3b znajduj\u0105cych si\u0119 w poje\u017adzie. Wyposa\u017cony jest w wyj\u0105tkowo szerokie obiektywy oraz zsynchronizowane, wbudowane o\u015bwietlacze LED \u2014 kt\u00f3re mog\u0105 by\u0107 uzupe\u0142nione opcjonalnymi zewn\u0119trznymi o\u015bwietlaczami wysokiej mocy \u2014 zawsze zapewniaj\u0105c oczekiwane rezultaty. Wysoka pr\u0119dko\u015b\u0107, przyciemniane szyby, ciemno\u015b\u0107, intensywne \u015bwiat\u0142o s\u0142oneczne, z\u0142a pogoda itd. r\u00f3wnie\u017c nie stanowi\u0105 wyzwania; Vidar PAX z \u0142atwo\u015bci\u0105 przenika przez wi\u0119kszo\u015b\u0107 typ\u00f3w szyb czo\u0142owych w ka\u017cdych warunkach.<\/p>\n\n\n\nDowiedz si\u0119 wi\u0119cej o naszych kamerach i oprogramowaniu ANP\/LPR<\/h2>\n\n\n\n Je\u015bli jeste\u015b u\u017cytkownikiem ko\u0144cowym lub integratorem system\u00f3w i chcesz wdro\u017cy\u0107 rozwi\u0105zanie podobne do naszego projektu w Kazachstanie, nie musisz szuka\u0107 dalej. Zesp\u00f3\u0142 ekspert\u00f3w Adaptive Recognition z przyjemno\u015bci\u0105 odpowie na twoje pytania i oceni, czy rozwi\u0105zanie obejmuj\u0105ce cz\u0142onka rodziny oprogramowania Carmen\u00ae ANPR\/ALPR i\/lub kamer\u0119 ANPR\/ALPR Adaptive Recognition mo\u017ce zosta\u0107 dostosowane do potrzeb twojego przedsi\u0119biorstwa. Skontaktuj si\u0119 z nami tutaj.<\/p>","protected":false},"excerpt":{"rendered":"
Kraj modernizuje cz\u0119\u015b\u0107 swojej sieci drogowej, aby przyspieszy\u0107 przep\u0142yw transportu towarowego.<\/p>","protected":false},"featured_media":12624,"template":"","industry-for-case-study":[42],"product-category-for-case-study":[49],"region-for-case-study":[29],"class_list":["post-1353","case-study","type-case-study","status-publish","has-post-thumbnail","hentry","product-category-for-case-study-traffic-monitoring","region-for-case-study-asia-pacific"],"acf":{"case_study_hero_big_image":7470,"client_name":"QAJ","client_logo":7471,"about_the_client":"QazAvtoJol<\/a> is Kazakhstan\u2019s national operator managing 25,000 km of highways, including toll roads with advanced transport systems. Focused on construction, repair, and roadside service development, the company ensures safe, efficient travel while reducing state expenses. 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