Shenzhen Genvict Technologies (002869.SZ) stated on the investor interactive platform on November 14th that the company focuses on two core scenarios, "Smart Roads" and "Intelligent Vehicles," targeting the smart highway, urban digital transportation, car-road coordination, and automotive electronics business areas. They are able to provide a comprehensive "Vehicle-Road Cloud Integration" solution around customer and industry application needs. The main products include: Vehicle-end series products mainly used in traditional cars, new energy vehicles, intelligent connected and automated driving vehicles, electric motorcycles, etc., mainly including ETC on-board electronic tags, V2X on-board OBU, RFID car electronic license plates, as well as CMS electronic rearview mirrors, streaming rearview mirrors, electric tailgates, 360-degree panoramic view, digital keys, and other intelligent vehicle electronic series products. They can also provide customized development services of vehicle-grade IT electronic products for car companies; Roadside series products mainly cover the two major areas of highways and urban transportation. In the highway domain, roadside products mainly include ETC roadside units, mobile emergency toll terminals, MTC automatic toll application series products (intelligent toll robot series products), intelligent tunnel/construction application series products.
The urban transportation sector's roadside products mainly focus on providing roadside RSU, MEC edge computing units, and RFID car electronic identification roadside readers for public security traffic management; Cloud-based series products mainly consist of edge application systems and business control systems, including smart highway information dissemination systems, smart tunnel integrated operation platforms, smart construction and maintenance platforms, holographic perception digital twin platforms, car-road coordination cloud platforms, urban static traffic control platforms, non-motor vehicle management platforms, and other application systems supporting business digitization and intelligent management. The company's independently developed AI algorithm platform for digital transportation can meet the identification of various traffic targets and traffic events in traffic perception and backend big data analysis in the traffic sector.
