Edge Computing Unit

? ? ?The mobile edge computing unit (MEC) uses raw data such as video and point cloud collected from roadside sensing devices such as cameras andars, and through built-in high-performance GPUs and AI algorithms, it can effectively identify the main information such as traffic participants, traffic events, and traffic flow the road. Traffic participants include the detection of target types such as motor vehicles, non-motor vehicles, and pedestrians, and detect the key information such as the speed heading, and position of the target at the same time; traffic events include more than ten event types such as abnormal parking, retrograde driving, speeding, and pedestrianusion, to provide a holographic perception capability for the vehicle-road cooperative system. This MEC can be widely used in various business scenarios such as vehicle-road cooperation smart transportation, smart highway, and smart park. ? Main functional features Support multi-source heterogeneous sensor access, with high-precision fusion perception of traffic participants, traffic events, traffic flow etc. Support intelligent decision-making and traffic infrastructure linkage for business needs such as traffic management, traffic safety, transportation, supervision, and intelligent driving Spec designed for roadside edge computing, with small size, high computing power, low power consumption, and wide temperature design Support multiple communication interfaces such as Ethernet/USBRS232/RS485/CAN/DIO Support ultra-low latency computing, achieving millisecond-level full-scene perception through efficient that integrate software and hardware ?Equipped with a complete set of tools such as automatic calibration, integrated deployment tools, and perception effect evaluation

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