{"id":1545,"date":"2021-08-26T16:19:28","date_gmt":"2021-08-26T16:19:28","guid":{"rendered":"https:\/\/adaptiverecognition.com\/how-speed-cameras-work-spot-speed-and-average-speed-measurement\/"},"modified":"2025-08-13T07:14:18","modified_gmt":"2025-08-13T07:14:18","slug":"how-speed-cameras-work-spot-speed-and-average-speed-measurement","status":"publish","type":"post","link":"https:\/\/adaptiverecognition.com\/sk\/blog\/traffic-transportation\/how-speed-cameras-work-spot-speed-and-average-speed-measurement\/","title":{"rendered":"Ako funguj\u00fa r\u00fdchlostn\u00e9 kamery: meranie okam\u017eitej r\u00fdchlosti a priemernej r\u00fdchlosti"},"content":{"rendered":"<p>Ka\u017ed\u00fd rok zomrie pri dopravn\u00fdch nehod\u00e1ch pribli\u017ene 1,25 mili\u00f3na \u013eud\u00ed a mili\u00f3ny \u010fal\u0161\u00edch utrpia zranenia. \u010c\u00edm r\u00fdchlej\u0161ie sa vozidlo pohybuje, t\u00fdm vy\u0161\u0161ie je riziko kol\u00edzie. Svetov\u00e1 zdravotn\u00edcka organiz\u00e1cia odpor\u00fa\u010da nieko\u013eko opatren\u00ed zalo\u017een\u00fdch na d\u00f4kazoch, ktor\u00e9 zni\u017euj\u00fa po\u010det \u00famrt\u00ed a zranen\u00ed. Ako jeden z naj\u00fa\u010dinnej\u0161\u00edch odstra\u0161uj\u00facich prostriedkov uv\u00e1dza riadenie r\u00fdchlosti pomocou kamier. \u010c\u00edtajte \u010falej a zistite, ako r\u00fdchlostn\u00e9 kamery funguj\u00fa.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-speed-management-through-traffic-monitoring-cameras\">Riadenie r\u00fdchlosti prostredn\u00edctvom kamier na monitorovanie dopravy<\/h2>\n\n\n\n<p class=\"translation-block\">Z\u00e1konodarcovia stanovuj\u00fa r\u00fdchlostn\u00e9 limity na z\u00e1klade funkcie a dizajnu cesty a typov vozidiel (napr\u00edklad n\u00e1kladn\u00e9 vozidl\u00e1 verzus osobn\u00e9 aut\u00e1). Kamery, ktor\u00e9 meraj\u00fa r\u00fdchlos\u0165, m\u00f4\u017eu by\u0165 stacion\u00e1rne, prenosn\u00e9 alebo mobiln\u00e9.<\/p>\n\n\n\n<p>Kamery s pevnou in\u0161tal\u00e1ciou s\u00fa predv\u00eddate\u013en\u00e9 a priamo ovplyv\u0148uj\u00fa r\u00fdchlos\u0165 dopravy v konkr\u00e9tnej oblasti. Ich umiestnenie sa ur\u010duje na z\u00e1klade vzorcov neh\u00f4d a \u010fal\u0161\u00edch dopravn\u00fdch \u00fadajov.<\/p>\n\n\n\n<p class=\"translation-block\">Na druhej strane mobiln\u00e9 a prenosn\u00e9 rie\u0161enia mo\u017eno pou\u017ei\u0165 kdeko\u013evek, napr\u00edklad v neozna\u010den\u00fdch policajn\u00fdch vozidl\u00e1ch. Prispievaj\u00fa k bezpe\u010dnosti na cest\u00e1ch t\u00fdm, \u017ee motivuj\u00fa vodi\u010dov v\u0161eobecne re\u0161pektova\u0165 dopravn\u00e9 predpisy a r\u00fdchlostn\u00e9 limity.<\/p>\n\n\n\n<figure class=\"wp-block-embed aligncenter is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"Lynet ANPR, MMR, Camera for Mobile Vehicle Data Capturing\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/lDS6u-Fm7zw?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-how-speed-cameras-work\">Ako funguj\u00fa r\u00fdchlostn\u00e9 kamery<\/h2>\n\n\n\n<p>Ke\u010f hovor\u00edme o tom, ako funguj\u00fa r\u00fdchlostn\u00e9 kamery, zvy\u010dajne m\u00e1me na mysli kamery na meranie okam\u017eitej r\u00fdchlosti, ktor\u00e9 deteguj\u00fa vozidl\u00e1 a meraj\u00fa ich r\u00fdchlos\u0165 v konkr\u00e9tnom bode na ceste. Tieto zariadenia sa spoliehaj\u00fa na inteligentn\u00fa technol\u00f3giu, ktor\u00e1 automaticky zachyt\u00e1va aut\u00e1 a meria ich r\u00fdchlos\u0165. Niektor\u00e9 pou\u017e\u00edvaj\u00fa induk\u010dn\u00e9 slu\u010dky zabudovan\u00e9 v vozovke, ktor\u00e9 s\u00fa ve\u013emi presn\u00e9, no ich in\u0161tal\u00e1cia m\u00f4\u017ee by\u0165 n\u00e1kladn\u00e1 a n\u00e1ro\u010dn\u00e1 a kvalita vozovky v\u00fdrazne ovplyv\u0148uje ich \u017eivotnos\u0165. Radar je popul\u00e1rnou vo\u013ebou, preto\u017ee je spo\u013eahliv\u00fd, pokr\u00fdva viac jazdn\u00fdch pruhov a dok\u00e1\u017ee identifikova\u0165 kateg\u00f3riu vozidla. Lasery s\u00fa tie\u017e ve\u013emi presn\u00e9 a m\u00f4\u017eu sa pou\u017e\u00edva\u0165 na ve\u013ek\u00fa vzdialenos\u0165, hoci v zlom po\u010das\u00ed m\u00f4\u017eu ma\u0165 probl\u00e9my. Najnov\u0161ie aplik\u00e1cie s podporou umelej inteligencie rozpozn\u00e1vaj\u00fa v\u0161etky potrebn\u00e9 charakteristiky na identifik\u00e1ciu vozidla, vr\u00e1tane eviden\u010dn\u00e9ho \u010d\u00edsla, \u0161t\u00e1tu registr\u00e1cie, zna\u010dky, modelu, kateg\u00f3rie a dokonca aj farby vozidla.<\/p>\n\n\n\n<p>Ke\u010f auto ide pr\u00edli\u0161 r\u00fdchlo, kamera urob\u00ed fotografiu alebo video. Zaznamen\u00e1 d\u00f4le\u017eit\u00e9 \u00fadaje, ako s\u00fa eviden\u010dn\u00e9 \u010d\u00edslo, r\u00fdchlos\u0165, \u010das, d\u00e1tum a poloha. Pokro\u010dil\u00e9 kamery dok\u00e1\u017eu dokonca rozozna\u0165 zna\u010dku, model, farbu a kateg\u00f3riu vozidla (ke\u010f\u017ee r\u00fdchlostn\u00e9 limity v mnoh\u00fdch pr\u00edpadoch z\u00e1visia od kateg\u00f3rie vozidla). Tieto inform\u00e1cie sa n\u00e1sledne skontroluj\u00fa na potvrdenie priestupku a miestne org\u00e1ny rozhodn\u00fa, \u010di vodi\u010d dostane upozornenie alebo pokutu.<\/p>\n\n\n\n<p>Predstavte si ru\u0161n\u00fa dia\u013enicu pln\u00fa \u00e1ut \u2014 pr\u00e1ve tam s\u00fa r\u00fdchlostn\u00e9 kamery obzvl\u00e1\u0161\u0165 u\u017eito\u010dn\u00e9. Sleduj\u00fa prem\u00e1vku nepretr\u017eite a ak niekto prekro\u010d\u00ed r\u00fdchlos\u0165, syst\u00e9m to okam\u017eite zaznamen\u00e1 s presn\u00fdm \u010dasom a miestom. Tieto kamery v\u0161ak nerobia len to, \u017ee chytaj\u00fa r\u00fdchlych vodi\u010dov. \u00dadaje, ktor\u00e9 zbieraj\u00fa, tie\u017e pom\u00e1haj\u00fa odhali\u0165 nebezpe\u010dn\u00e9 \u00faseky ciest, \u010do vedie k rozhodnutiam, ako je pridanie v\u00fdstra\u017en\u00fdch zna\u010diek \u010di spoma\u013eovac\u00edch prahov, aby bola jazda bezpe\u010dnej\u0161ia pre v\u0161etk\u00fdch.<\/p>\n\n\n\n<figure class=\"wp-block-embed aligncenter is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"ANPR \/ LPR \u2013 VIDAR Speed Enforcement ANPR Camera With Multilane Radar | Adaptive Recognition\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/j3F-xtEm4CQ?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>Naopak, kamery na meranie priemernej r\u00fdchlosti monitoruj\u00fa r\u00fdchlos\u0165 vozidla na dlh\u0161om \u00faseku tak, \u017ee zaznamenaj\u00fa \u010das potrebn\u00fd na prejdenie vzdialenosti medzi dvoma bodmi a vypo\u010d\u00edtaj\u00fa priemern\u00fa r\u00fdchlos\u0165 na kontrolu dodr\u017eiavania r\u00fdchlostn\u00fdch limitov.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-what-is-spot-speed-measurement-and-average-speed-calculation\">\u010co je meranie okam\u017eitej r\u00fdchlosti a v\u00fdpo\u010det priemernej r\u00fdchlosti?<\/h2>\n\n\n\n<p>Pri meran\u00ed r\u00fdchlosti vozidiel rozli\u0161ujeme dva typy rie\u0161en\u00ed s kamerami na vynucovanie r\u00fdchlosti: meranie okam\u017eitej r\u00fdchlosti a v\u00fdpo\u010det priemernej r\u00fdchlosti. Tieto syst\u00e9my funguj\u00fa nasledovne:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-spot-speed-measurement-nbsp\">Meranie okam\u017eitej r\u00fdchlosti&nbsp;<\/h3>\n\n\n\n<p class=\"translation-block\">R\u00fdchlostn\u00e9 kamery meraj\u00fa r\u00fdchlos\u0165 vozidla v konkr\u00e9tnom bode. Ako u\u017e bolo uveden\u00e9, r\u00f4zne kamery pou\u017e\u00edvaj\u00fa r\u00f4zne technol\u00f3gie, ako s\u00fa laser, radar, videoanal\u00fdza a \u010fal\u0161ie.<\/p>\n\n\n\n<p>Nev\u00fdhodou pevn\u00e9ho merania okam\u017eitej r\u00fdchlosti je, \u017ee \u013eudia sa nau\u010dia, kde sa kamery nach\u00e1dzaj\u00fa. Niektor\u00e9 mobiln\u00e9 naviga\u010dn\u00e9 aplik\u00e1cie dokonca uv\u00e1dzaj\u00fa ich polohu. Vodi\u010di spomalia, ke\u010f sa k miestu pribli\u017euj\u00fa, a hne\u010f potom op\u00e4\u0165 zr\u00fdchlia.<\/p>\n\n\n\n<p>T\u00e1to prax podkop\u00e1va hlavn\u00fd cie\u013e \u2013 nepretr\u017eite vynucova\u0165 r\u00fdchlostn\u00e9 limity a t\u00fdm v\u00fdznamne zni\u017eova\u0165 po\u010det dopravn\u00fdch neh\u00f4d.<\/p>\n\n\n\n<p>Napriek tomu na miestach, kde \u013eudia zomreli v d\u00f4sledku pr\u00edli\u0161 r\u00fdchlej jazdy alebo prejdenia na \u010derven\u00fa, zohr\u00e1vaj\u00fa tieto kamery nepopierate\u013en\u00fa \u00falohu v prevencii \u010fal\u0161\u00edch neh\u00f4d. <\/p>\n\n\n\n<p class=\"translation-block\">Pevn\u00e1 kamera na vynucovanie r\u00fdchlosti Vidar Speed od Adaptive Recognition je ide\u00e1lna pre tento typ nasadenia.<\/p>\n\n\n\n<p class=\"translation-block\">Na efekt\u00edvne a konzistentn\u00e9 vynucovanie r\u00fdchlosti je najlep\u0161ie pou\u017e\u00edva\u0165 s\u00fa\u010dasne pevn\u00e9 aj prenosn\u00e9 r\u00fdchlostn\u00e9 kamery, ako je mobiln\u00e1 r\u00fdchlostn\u00e1 kamera S1 od Adaptive Recognition. Pevn\u00e9 kamery na prevenciu poru\u0161en\u00ed v nebezpe\u010dn\u00fdch a nehodov\u00fdch \u00fasekoch. Mobiln\u00e9 na zabezpe\u010denie toho, aby vodi\u010di re\u0161pektovali r\u00fdchlostn\u00e9 limity vo v\u0161eobecnom zmysle.<\/p>\n\n\n\n<figure class=\"wp-block-embed aligncenter is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"S1 Portable Speed Camera | Adaptive Recognition\" width=\"800\" height=\"450\" src=\"https:\/\/www.youtube.com\/embed\/DfuhMMSUJAI?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-average-speed-measurement-a-growing-trend-in-traffic-enforcement\">Meranie priemernej r\u00fdchlosti: rast\u00faci trend v oblasti presadzovania pravidiel cestnej prem\u00e1vky<\/h3>\n\n\n\n<p>Meranie priemernej r\u00fdchlosti z\u00edskava uznanie ako \u00fa\u010dinn\u00e1 met\u00f3da podporuj\u00faca bezpe\u010dn\u00e9 n\u00e1vyky pri jazde, najm\u00e4 preto, \u017ee kamery na meranie okam\u017eitej r\u00fdchlosti vodi\u010di \u010dasto \u013eahko odhalia a do\u010dasne upravia svoje spr\u00e1vanie, aby sa vyhli sankci\u00e1m. Monitorovan\u00edm r\u00fdchlosti vozidiel na dlh\u0161om \u00faseku cesty meranie priemernej r\u00fdchlosti podporuje konzistentn\u00e9 dodr\u017eiavanie r\u00fdchlostn\u00fdch limitov, \u010d\u00edm vytv\u00e1ra bezpe\u010dnej\u0161ie a zodpovednej\u0161ie jazdn\u00e9 vzorce.<\/p>\n\n\n\n<p class=\"translation-block\">Meranie priemernej r\u00fdchlosti funguje pomocou dvojice inteligentn\u00fdch kamier na monitorovanie dopravy umiestnen\u00fdch na dvoch bodoch \u00faseku cesty s rovnak\u00fdm r\u00fdchlostn\u00fdm limitom, zvy\u010dajne vzdialen\u00fdch nieko\u013eko stoviek metrov a\u017e nieko\u013eko kilometrov. Ke\u010f vozidlo vst\u00fapi do ur\u010den\u00e9ho \u00faseku cesty, inteligentn\u00e1 kamera na monitorovanie dopravy \u2013 napr\u00edklad ktor\u00e1ko\u013evek kamera Adaptive Recognition pripojen\u00e1 ku Globessey Data Server (GDS) \u2013 zachyt\u00ed jeho eviden\u010dn\u00e9 \u010d\u00edslo a prid\u00e1 \u010dasov\u00fa pe\u010diatku. Na konci \u00faseku n\u00e1sledne \u010fal\u0161ia kamera op\u00e4\u0165 zachyt\u00ed eviden\u010dn\u00e9 \u010d\u00edslo vozidla. Aby boli merania presn\u00e9 a spo\u013eahliv\u00e9, \u00fasek cesty mus\u00ed by\u0165 presne zmeran\u00fd a ofici\u00e1lne certifikovan\u00fd.<\/p>\n\n\n\n<figure class=\"wp-block-image aligncenter size-full is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"640\" height=\"402\" src=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/11\/traiffc-light-camera-red-light-camera-setup-at-an-intersection-angles.jpg\" alt=\"traffic light camera \/ red light camera setup at an intersection + angles that each device is able to cover\" class=\"wp-image-18361\" style=\"width:746px;height:auto\" srcset=\"https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/11\/traiffc-light-camera-red-light-camera-setup-at-an-intersection-angles.jpg 640w, https:\/\/adaptiverecognition.com\/wp-content\/uploads\/2024\/11\/traiffc-light-camera-red-light-camera-setup-at-an-intersection-angles-300x188.jpg 300w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/><\/figure>\n\n\n\n<p>Z \u00fadajov o \u010dasov\u00fdch pe\u010diatkach a d\u013a\u017eke cesty je jednoduch\u00e9 vypo\u010d\u00edta\u0165 priemern\u00fa r\u00fdchlos\u0165 vozidla. Upozor\u0148ujeme, \u017ee obe kamery nemusia ma\u0165 schopnos\u0165 mera\u0165 r\u00fdchlos\u0165. Musia v\u0161ak zachyti\u0165 eviden\u010dn\u00e9 \u010d\u00edsla, zaznamena\u0165 \u00fadaje a komunikova\u0165 s r\u00f4znymi datab\u00e1zami. V\u00fdhodou t\u00fdchto syst\u00e9mov je, \u017ee dok\u00e1\u017eu vynucova\u0165 r\u00fdchlostn\u00e9 limity na celom \u00faseku cesty, a nie len v jednom konkr\u00e9tnom bode.&nbsp;<\/p>\n\n\n\n<p>Syst\u00e9my merania priemernej r\u00fdchlosti s\u00fa mimoriadne \u00fa\u010dinn\u00e9 pri zabezpe\u010dovan\u00ed rovnomern\u00fdch r\u00fdchlost\u00ed v kritick\u00fdch oblastiach, ako s\u00fa tunely, kde pom\u00e1haj\u00fa predch\u00e1dza\u0165 zr\u00e1\u017ekam vo vysok\u00fdch r\u00fdchlostiach v stiesnen\u00fdch priestoroch, a mosty, kde zmier\u0148uj\u00fa rizik\u00e1 n\u00e1hlych zmien r\u00fdchlosti na citliv\u00fdch kon\u0161trukci\u00e1ch. S\u00fa tie\u017e neocenite\u013en\u00e9 na dlh\u00fdch \u00fasekoch ciest, kde podporuj\u00fa konzistentn\u00e9 dodr\u017eiavanie r\u00fdchlostn\u00fdch limitov, zlep\u0161uj\u00fa plynulos\u0165 dopravy a zni\u017euj\u00fa po\u010det neh\u00f4d.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-other-uses-for-traffic-monitoring-cameras\">\u010eal\u0161ie vyu\u017eitie kamier na monitorovanie dopravy<\/h2>\n\n\n\n<p class=\"translation-block\">Okrem vynucovania r\u00fdchlosti a dodr\u017eiavania dopravn\u00fdch predpisov s\u00fa \u00fadaje poskytovan\u00e9 inteligentn\u00fdmi kamerami na monitorovanie dopravy cenn\u00e9 pre \u0161tatistiky o doprave a vyu\u017e\u00edvan\u00ed ciest. Anal\u00fdza \u0161tatistick\u00fdch \u00fadajov sl\u00fa\u017ei ako z\u00e1klad pre ur\u010dit\u00e9 rie\u0161enia inteligentn\u00fdch miest t\u00fdkaj\u00facich sa dopravy. Napr\u00edklad n\u00edzkoemisn\u00e9 z\u00f3ny a optimaliz\u00e1cia plynulosti dopravy s cie\u013eom pred\u00eds\u0165 z\u00e1pcham s\u00fa k\u013e\u00fa\u010dov\u00e9 faktory pri vytv\u00e1ran\u00ed udr\u017eate\u013en\u00fdch a zdrav\u00fdch inteligentn\u00fdch miest.<\/p>\n\n\n\n<p><strong>M\u00e1te ot\u00e1zky alebo dopyty? Sme tu, aby sme v\u00e1s podporili na ka\u017edom kroku:<\/strong><\/p>\n\n\n\n<div style=\"text-align: center;\">\n<a href=\"\/sk\/kontakt\/\" class=\"button-small\"><br \/>\n<span class=\"button-text-small\">Kontaktujte na\u0161ich odborn\u00edkov<\/span><\/p>\n<div class=\"circle-small\">\n<span class=\"arrow-small initial-arrow-small\"><i class=\"fa fa-arrow-right\"><\/i><\/span><br \/>\n<span class=\"arrow-small hover-arrow-small\"><i class=\"fa fa-arrow-right\"><\/i><\/span>\n<\/div>\n<\/a>\n<\/div>\n<br>","protected":false},"excerpt":{"rendered":"<p>Kamery na monitorovanie dopravy s\u00fa nevyhnutn\u00fdmi n\u00e1strojmi pri presadzovan\u00ed r\u00fdchlostn\u00fdch limitov a prispievaj\u00fa k bezpe\u010dnosti na cest\u00e1ch. Zistite, ak\u00fd je rozdiel medzi technikami merania r\u00fdchlosti a kde s\u00fa najviac u\u017eito\u010dn\u00e9.<\/p>","protected":false},"author":2,"featured_media":13855,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[103],"tags":[],"class_list":["post-1545","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-traffic-transportation"],"acf":{"blog_page_hero_image":"","who_wrote_this_arcticle":[5241],"tags_for_search_separate_with_comma___":"speed,camera,enforcement,traffic,measurement,tool,tripod,s1,vidar,highway,ticket,police"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>How Speed Cameras Work: Spot Speed and Average Speed Measurement - Adaptive Recognition | Image Capturing and Analytics<\/title>\n<meta name=\"description\" content=\"Learn how speed cameras work to enforce traffic laws and enhance road safety. 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