Advancing Onboard Intelligence for Public Transportation <\/b><\/p>\n As public transportation becomes increasingly connected and data-driven, vehicles and transit systems are processing growing volumes of camera and sensor data in real time. Edge AI enables data to be analyzed closer to where it is generated, reducing dependence on cloud connectivity and supporting faster detection, analysis, and response.<\/p>\n “Public transportation is moving toward real-time, onboard intelligence, where vehicles need to understand and respond to their surroundings as conditions change,” said Kevin Hsu, CEO of SINTRONES. “Our focus is to bring AI computing closer to cameras, sensors, and vehicles, combining real-time intelligence with the reliability required for transportation environments.”<\/p>\n In-Vehicle Intelligence for Connected Transportation \u2014 VBOX-3631<\/b><\/p>\n Powered by Intel\u00ae<\/sup> Core\u2122 Series 3 processors with an integrated NPU, the VBOX-3631 in-vehicle computer<\/a> extends edge AI processing to vehicle-level computing and analytics. The platform combines AI processing, vehicle connectivity, and expansion capabilities for applications including fleet management, intelligent navigation, vehicle analytics, passenger information systems, and real-time transportation monitoring.<\/p>\n Real-Time Hazard Detection for Transit Safety \u2014 IBOX-602P-IP66<\/b><\/p>\n Built for exposed transportation environments, the IBOX-602P-IP66 rugged edge AI computer<\/a> features an IP66-rated fanless enclosure with M12 connectivity and 9\u201360V DC input. Powered by NVIDIA\u00ae<\/sup> Jetson Orin\u2122 NX with dual GMSL-2 camera support, it will run a school-bus safety application at APTA EXPO, identifying people and potential hazards around the vehicle in real time. The system also supports EN 50155 and E-Mark requirements.<\/p>\n Real-Time Distance Awareness in a Compact Design \u2014 IBOX-604-G2<\/b><\/p>\n Weighing less than 339 grams, the IBOX-604-G2 lightweight edge AI computer<\/a> is designed for applications where space and weight are limited. Its dual GMSL-2 camera setup identifies people, vehicles, and other objects while estimating their distance in real time, providing proximity detection and situational awareness. The platform is powered by NVIDIA\u00ae<\/sup> Jetson Orin\u2122 and integrates a 3-axis accelerometer, CAN FD, and 10\u201360V DC input.<\/p>\n From Detection to Decision at the Edge<\/b><\/p>\n As transportation systems generate more data from cameras, sensors, and connected vehicles, processing information at the edge is becoming an increasingly important part of real-time operations. SINTRONES is applying this approach across road and rail transportation, supporting the shift from data collection and detection toward faster onboard analysis and decision-making.<\/p>\n About SINTRONES<\/b><\/p>\n Founded in 2009, SINTRONES Technology Corp. (TPEx: 6680) is a global provider of rugged industrial and edge AI computing solutions for transportation, industrial automation, and military and defense applications. SINTRONES is IRIS ISO 22163 certified for the railway industry and IEC 62443-4-1 certified for secure product development, supporting mission-critical deployments across demanding environments. For more information, please visit: www.sintrones.com<\/a><\/p>","protected":false},"excerpt":{"rendered":" <\/p>\n Live applications feature AI-powered hazard detection, real-time distance estimation, and rugged in-vehicle intelligence for next-generation transit<\/i><\/p>\n CHICAGO<\/span>, Sept. 24, 2026<\/span> \/PRNewswire\/ — SINTRONES Technology (TPEx: 6680), a global provider of rugged edge AI computing solutions, will exhibit at APTA EXPO 2026 October 5\u20137 at McCormick Place in Chicago. At South Hall, Booth 3854, the company will present real-time edge AI applications for buses, railways, rolling stock, fleet systems, and connected transportation infrastructure, with a focus on onboard vision, situational awareness, and in-vehicle AI computing.<\/p>\n Advancing Onboard Intelligence for Public Transportation <\/b><\/p>\n As public transportation becomes increasingly connected and data-driven, vehicles and transit systems are processing growing volumes of camera and sensor data in real time. Edge AI enables data to be analyzed closer to where it is generated, reducing dependence on cloud connectivity and supporting faster detection, analysis, and response.<\/p>\n “Public transportation is moving toward real-time, onboard intelligence, where vehicles need to understand and respond to their surroundings as conditions change,” said Kevin Hsu, CEO of SINTRONES. “Our focus is to bring AI computing closer to cameras, sensors, and vehicles, combining real-time intelligence with the reliability required for transportation environments.”<\/p>\n In-Vehicle Intelligence for Connected Transportation \u2014 VBOX-3631<\/b><\/p>\n Powered by Intel\u00ae<\/sup> Core\u2122 Series 3 processors with an integrated NPU, the VBOX-3631 in-vehicle computer<\/a> extends edge AI processing to vehicle-level computing and analytics. The platform combines AI processing, vehicle connectivity, and expansion capabilities for applications including fleet management, intelligent navigation, vehicle analytics, passenger information systems, and real-time transportation monitoring.<\/p>\n Real-Time Hazard Detection for Transit Safety \u2014 IBOX-602P-IP66<\/b><\/p>\n Built for exposed transportation environments, the IBOX-602P-IP66 rugged edge AI computer<\/a> features an IP66-rated fanless enclosure with M12 connectivity and 9\u201360V DC input. Powered by NVIDIA\u00ae<\/sup> Jetson Orin\u2122 NX with dual GMSL-2 camera support, it will run a school-bus safety application at APTA EXPO, identifying people and potential hazards around the vehicle in real time. The system also supports EN 50155 and E-Mark requirements.<\/p>\n Real-Time Distance Awareness in a Compact Design \u2014 IBOX-604-G2<\/b><\/p>\n Weighing less than 339 grams, the IBOX-604-G2 lightweight edge AI computer<\/a> is designed for applications where space and weight are limited. Its dual GMSL-2 camera setup identifies people, vehicles, and other objects while estimating their distance in real time, providing proximity detection and situational awareness. The platform is powered by NVIDIA\u00ae<\/sup> Jetson Orin\u2122 and integrates a 3-axis accelerometer, CAN FD, and 10\u201360V DC input.<\/p>\n From Detection to Decision at the Edge<\/b><\/p>\n As transportation systems generate more data from cameras, sensors, and connected vehicles, processing information at the edge is becoming an increasingly important part of real-time operations. SINTRONES is applying this approach across road and rail transportation, supporting the shift from data collection and detection toward faster onboard analysis and decision-making.<\/p>\n About SINTRONES<\/b><\/p>\n Founded in 2009, SINTRONES Technology Corp. (TPEx: 6680) is a global provider of rugged industrial and edge AI computing solutions for transportation, industrial automation, and military and defense applications. SINTRONES is IRIS ISO 22163 certified for the railway industry and IEC 62443-4-1 certified for secure product development, supporting mission-critical deployments across demanding environments. For more information, please visit: www.sintrones.com<\/a><\/p>\n <\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"rop_custom_images_group":[],"rop_custom_messages_group":[],"rop_publish_now":"initial","rop_publish_now_accounts":[],"rop_publish_now_history":[],"rop_publish_now_status":"pending","footnotes":""},"categories":[5,7],"tags":[],"class_list":["post-71315","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cision-pr-newswire","category-cision-pr-newswire-en"],"_links":{"self":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/71315","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=71315"}],"version-history":[{"count":0,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=\/wp\/v2\/posts\/71315\/revisions"}],"wp:attachment":[{"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=71315"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=71315"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/thaipropertynews.com\/feeds\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=71315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/mmx.prnasia.com\/media\/MS1995760\/20260924043656EDT_image_1.jpg?id=OA2969087&p=medium600\" "\\"\\"")
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