{"id":1368,"date":"2023-10-04T09:31:06","date_gmt":"2023-10-04T09:31:06","guid":{"rendered":"https:\/\/adaptiverecognition.com\/case-studies\/revolutionizing-dangerous-goods-identification-on-slovenian-highways\/"},"modified":"2024-12-10T14:49:57","modified_gmt":"2024-12-10T14:49:57","slug":"revolutionizing-dangerous-goods-identification-on-slovenian-highways","status":"publish","type":"case-study","link":"https:\/\/adaptiverecognition.com\/hu\/case-study\/revolutionizing-dangerous-goods-identification-on-slovenian-highways\/","title":{"rendered":"Forradalmas\u00edtjuk a vesz\u00e9lyes \u00e1ruk azonos\u00edt\u00e1s\u00e1t a szlov\u00e9n aut\u00f3p\u00e1ly\u00e1kon\u00a0"},"content":{"rendered":"

H\u00e1tt\u00e9r<\/h2>\n\n\n\n

A szlov\u00e9n aut\u00f3p\u00e1ly\u00e1k kiterjedt h\u00e1l\u00f3zat\u00e1ban a biztons\u00e1g els\u0151dleges, k\u00fcl\u00f6n\u00f6sen a vesz\u00e9lyes \u00e1ruk sz\u00e1ll\u00edt\u00e1sa ter\u00e9n. Az ASIST d.o.o., Szlov\u00e9nia egyik vezet\u0151, k\u00f6z\u00fati forgalomir\u00e1ny\u00edt\u00e1si rendszerekre szakosodott v\u00e1llalata, \u00f6sszefogott az Adaptive Recognition-nel, hogy a szlov\u00e9n aut\u00f3p\u00e1lya-kezel\u0151, a DARS sz\u00e1m\u00e1ra sikeresen megval\u00f3s\u00edtson egy korszer\u0171 Vesz\u00e9lyes \u00c1ru Azonos\u00edt\u00f3 Rendszert (ADR) a szlov\u00e9n aut\u00f3p\u00e1ly\u00e1kon. A projekt 2022 j\u00fanius\u00e1ban indult, \u00e9s egy \u00e9ven bel\u00fcl befejez\u0151d\u00f6tt. Ennek keret\u00e9ben 88 Vidar Smart 2xFHD LT ANPR kamera<\/a> ker\u00fclt telep\u00edt\u00e9sre a terepen a rendsz\u00e1mt\u00e1bla-felismer\u00e9shez. Ezeket a kamer\u00e1kat z\u00f6kken\u0151mentesen integr\u00e1lt\u00e1k a helyi rendszerekbe, egy k\u00f6zponti SCADA (Forgalomir\u00e1ny\u00edt\u00f3 K\u00f6zpont) rendszerhez csatlakoztatva, \u00e9s egy felhaszn\u00e1l\u00f3bar\u00e1t grafikus fel\u00fcletet fejlesztettek ki a val\u00f3s idej\u0171 adatok megjelen\u00edt\u00e9s\u00e9hez.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Kih\u00edv\u00e1sok <\/h2>\n\n\n\n

J\u00e1rm\u0171vek azonos\u00edt\u00e1sa \u00f6sszetett k\u00f6r\u00fclm\u00e9nyek k\u00f6z\u00f6tt <\/h3>\n\n\n\n

A szlov\u00e9n aut\u00f3p\u00e1lya-rendszer egyedi kih\u00edv\u00e1sokat jelentett. 11 alag\u00fattal \u00e9s 21 szakasz\u00e1val a vesz\u00e9lyes anyagokat sz\u00e1ll\u00edt\u00f3 j\u00e1rm\u0171vek pontos \u00e9s id\u0151ben t\u00f6rt\u00e9n\u0151 azonos\u00edt\u00e1s\u00e1nak biztos\u00edt\u00e1sa kor\u00e1ntsem volt egyszer\u0171 feladat. A kamer\u00e1knak k\u00fcl\u00f6nf\u00e9le k\u00f6rnyezeti felt\u00e9telek mellett is hib\u00e1tlanul kellett m\u0171k\u00f6dni\u00fck, az egyes ter\u00fcleteket s\u00fajt\u00f3 vak\u00edt\u00f3, k\u00f6zvetlen napf\u00e9nyt\u0151l a nappal \u00e9s az \u00e9jszaka k\u00f6z\u00f6tti \u00e9les kontrasztokig.\u00a0<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Szigor\u00fa felismer\u00e9si c\u00e9lok<\/h3>\n\n\n\n

A projekt kiv\u00e9telesen magas felismer\u00e9si pontoss\u00e1gi ar\u00e1nyokat k\u00f6vetelt meg. A DARS ambici\u00f3zus c\u00e9lokat t\u0171z\u00f6tt ki: legal\u00e1bb 90% az ADR t\u00e1bl\u00e1k eset\u00e9ben Kemler-jellel, 80% az \u00fcres ADR t\u00e1bl\u00e1k eset\u00e9ben (mik\u00f6zben toler\u00e1lt\u00e1k a t\u00e9ves pozit\u00edv \u00e9s t\u00e9ves negat\u00edv tal\u00e1latokat), valamint minimum 95% a s\u00e9rtetlen t\u00e1bl\u00e1k eset\u00e9ben. Ezek a c\u00e9lok nem voltak alku t\u00e1rgyai, tekintettel a pontos azonos\u00edt\u00e1s kritikus jelent\u0151s\u00e9g\u00e9re a vesz\u00e9lyes rakom\u00e1nyokkal kapcsolatos helyzetekben. <\/p>\n\n\n\n

A megold\u00e1s <\/h2>\n\n\n\n

A Vidar Smart 2xFHD LT kamer\u00e1k telep\u00edt\u00e9se  <\/h3>\n\n\n\n

A projekt \u00f6sszetett k\u00f6vetelm\u00e9nyeinek teljes\u00edt\u00e9se \u00e9rdek\u00e9ben az ASIST d.o.o. \u00e9s az Adaptive Recognition egy \u00e1tfog\u00f3 rendszert telep\u00edtett, amely 88 Vidar Smart 2xFHD LT ANPR kamer\u00e1t<\/a> tartalmazott. Ezeket a nagy teljes\u00edtm\u00e9ny\u0171 kamer\u00e1kat strat\u00e9giailag helyezt\u00e9k el az alagutakban \u00e9s azokon k\u00edv\u00fcl is, biztos\u00edtva az \u00f6sszes kritikus pont alapos lefed\u00e9s\u00e9t. Kiv\u00e9teles k\u00e9pmin\u0151s\u00e9g\u00fck \u2014 m\u00e9g kih\u00edv\u00e1st jelent\u0151 f\u00e9nyviszonyok mellett is \u2014 kulcsfontoss\u00e1g\u00fa volt a szigor\u00fa pontoss\u00e1gi k\u00f6vetelm\u00e9nyek teljes\u00edt\u00e9s\u00e9ben.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Fejlett algoritmusok \u00e9s k\u00f6rnyezeti alkalmazkod\u00f3k\u00e9pess\u00e9g  <\/h3>\n\n\n\n

A projekt k\u00f6vetelm\u00e9nyeinek teljes\u00edt\u00e9s\u00e9hez fejlett algoritmusokat kellett kifejleszteni a k\u00e9pparam\u00e9terek k\u00f6rnyezeti felt\u00e9telek alapj\u00e1n t\u00f6rt\u00e9n\u0151 be\u00e1ll\u00edt\u00e1s\u00e1ra. Ez a dinamikus igaz\u00edt\u00e1s lehet\u0151v\u00e9 tette a kamer\u00e1k sz\u00e1m\u00e1ra, hogy optimaliz\u00e1lj\u00e1k a rekeszt, az expoz\u00edci\u00f3s id\u0151t, az ISO be\u00e1ll\u00edt\u00e1sokat \u00e9s egyebeket, biztos\u00edtva a tiszta \u00e9s pontos leolvas\u00e1st b\u00e1rmilyen helyzetben. Ezek az algoritmusok az ADR rendsz\u00e1mt\u00e1bl\u00e1k m\u00e1sodlagos felismer\u00e9s\u00e9t is el\u0151seg\u00edtett\u00e9k, meghaladva a 95%-os felismer\u00e9si k\u00fcsz\u00f6b\u00f6t a s\u00e9rtetlen t\u00e1bl\u00e1k eset\u00e9ben. <\/p>\n\n\n\n

Indukt\u00edv hurok integr\u00e1ci\u00f3 a pontoss\u00e1g\u00e9rt<\/h3>\n\n\n\n

A j\u00e1rm\u0171\u00e9szlel\u00e9s a projekt kritikus eleme volt, amely pontoss\u00e1got \u00e9s megb\u00edzhat\u00f3s\u00e1got ig\u00e9nyelt. A megold\u00e1s indukt\u00edv hurkokat \u00e9p\u00edtett be a j\u00e1rm\u0171\u00e9szlel\u00e9shez, legal\u00e1bb 99%-os pontoss\u00e1gi ar\u00e1nyt biztos\u00edtva. Ez az \u00f6sszetev\u0151 kulcsszerepet j\u00e1tszott az \u00e9szlel\u00e9sek ind\u00edt\u00e1s\u00e1ban \u00e9s az inform\u00e1ci\u00f3k z\u00f6kken\u0151mentes \u00e1raml\u00e1s\u00e1nak biztos\u00edt\u00e1s\u00e1ban a rendszeren bel\u00fcl. <\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

K\u00f6zponti szerverrendszer \u00e9s felhaszn\u00e1l\u00f3bar\u00e1t fel\u00fclet<\/h3>\n\n\n\n

A m\u0171k\u00f6d\u00e9s gerinc\u00e9t egy k\u00f6zponti szerverrendszer adta, amely k\u00fcl\u00f6nf\u00e9le modulokkal \u00e9s interf\u00e9szekkel volt felszerelve. Ez az infrastrukt\u00fara lehet\u0151v\u00e9 tette a val\u00f3s idej\u0171 adatfeldolgoz\u00e1st, t\u00e1rol\u00e1st \u00e9s jelent\u00e9sk\u00e9sz\u00edt\u00e9st. Egy felhaszn\u00e1l\u00f3bar\u00e1t grafikus fel\u00fcletet fejlesztettek ki a hat\u00e9kony adatel\u00e9r\u00e9s, export\u00e1l\u00e1s \u00e9s vizualiz\u00e1ci\u00f3 \u00e9rdek\u00e9ben. Egyszer\u0171s\u00edtette a munkafolyamatot, n\u00f6velve az \u00e1ltal\u00e1nos m\u0171k\u00f6d\u00e9si hat\u00e9konys\u00e1got \u00e9s a k\u00f6z\u00fati biztons\u00e1got a szlov\u00e9n aut\u00f3p\u00e1ly\u00e1kon. <\/p>\n\n\n\n

Ez a cs\u00facstechnol\u00f3gi\u00e1s rendszer nemcsak az ADR t\u00e1bl\u00e1val rendelkez\u0151 j\u00e1rm\u0171veket azonos\u00edtja<\/a>, hanem ami a legfontosabb, val\u00f3s id\u0151ben t\u00e1j\u00e9koztatja a forgalomfel\u00fcgyel\u0151ket a sz\u00e1ll\u00edtott vesz\u00e9lyes anyag t\u00edpus\u00e1r\u00f3l. Egy\u00e9rtelm\u0171 inform\u00e1ci\u00f3t biztos\u00edt, k\u00fcl\u00f6n\u00f6sen olyan kritikus helyzetekben, mint az alagutakban keletkez\u0151 t\u00fczek.<\/p>\n\n\n\n

K\u00f6vetkeztet\u00e9s<\/h2>\n\n\n\n

Az ASIST d.o.o. \u00e9s az Adaptive Recognition sikeresen lek\u00fczd\u00f6tt\u00e9k a projekt komoly kih\u00edv\u00e1sait, biztos\u00edtva a vesz\u00e9lyes \u00e1rut sz\u00e1ll\u00edt\u00f3 j\u00e1rm\u0171vek biztons\u00e1gos \u00e9s hat\u00e9kony azonos\u00edt\u00e1s\u00e1t a szlov\u00e9n aut\u00f3p\u00e1ly\u00e1kon. Innovat\u00edv megk\u00f6zel\u00edt\u00e9s\u00fck, a legkorszer\u0171bb technol\u00f3gi\u00e1val p\u00e1ros\u00edtva, a k\u00f6z\u00fati biztons\u00e1g \u00e9s a vesz\u00e9lyes rakom\u00e1nyok kezel\u00e9s\u00e9nek \u00faj korszak\u00e1t nyitotta meg. <\/p>","protected":false},"excerpt":{"rendered":"

Az ASIST d.o.o. \u00e9s az Adaptive Recognition egy\u00fcttm\u0171k\u00f6dik a k\u00f6z\u00fati biztons\u00e1g fokoz\u00e1sa \u00e9rdek\u00e9ben fejlett ANPR megold\u00e1sokkal<\/p>","protected":false},"featured_media":12616,"template":"","industry-for-case-study":[44],"product-category-for-case-study":[49],"region-for-case-study":[30],"class_list":["post-1368","case-study","type-case-study","status-publish","has-post-thumbnail","hentry","product-category-for-case-study-traffic-monitoring","region-for-case-study-europe"],"acf":{"case_study_hero_big_image":7368,"client_name":"Asist","client_logo":7369,"about_the_client":"ASIST<\/a> specializes in road traffic automation and intelligent traffic systems, offering products and services such as intersection control, tunnel supervision, road charging, and border control. They provide comprehensive project support, including planning, design, execution, commissioning, and maintenance, ensuring 24\/7 operation. 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