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                AI Computing Units

                Solution of AI Computing Application Scenario

                V2X

                The TZTEK V2X multi-sensor fusion sensing system, which uses TZTEK GEAC edge computing MEC as the AI computing platform, supports access to cameras, radars, LiDARs and other road-end sensing devices.
                V2X
                Product
                description

                Product Description

                The TZTEK V2X multi-sensor fusion sensing system, which uses TZTEK GEAC edge computing MEC as the AI computing platform, supports access to cameras, radars, LiDARs and other road-end sensing devices. Through the self-developed multi-sensor fusion perception algorithm, the position, heading angle, speed, speed direction, target type and license plate number of 6 types of targets are output. After RSU is received, it is uploaded to the cloud and broadcast to OBU to provide ITS with accurate, real-time and stable perception data. In addition, the system also supports the recognition and tracking of common traffic incidents such as license plate recognition, retrograde, speeding, illegal parking, and throwing.

                Product Characteristics

                • High precision, the position error of the target's perception is ≤±0.5m, and the speed error is ≤±1km/h
                • Low latency, the entire link time from data collection, processing, and transmission to RSU ≤180ms
                • High recognition rate, identify 6 types of targets, cars, buses, trucks, two-wheeled vehicles (including electric bicycles, bikes, motorcycles), tricycles, pedestrians, mAP≥95%
                Product
                FEATURES