In the applications of Cellular Vehicle-to-Everything (C-V2X), the traffic object and traffic environment information obtained by the Roadside Sensing Equipment is analyzed by the Roadside Edge Computing Equipment to generate various Infrastructure-to-Vehicle (I2V) messages which are sent by the Roadside Unit (RSU) to various Road Traffic Participants (including networked vehicles and vulnerable road users) through the wireless links to improve the traffic safety and efficiency. Lidar, as a Roadside Sensing Equipment, is being used more and more widely due to its excellent performance such as 3D imaging and precise ranging. The Roadside Edge Computing Equipment based on Intel® Architecture have shown superior performance in processing the 3D point cloud generated by lidar (whether it is deep learning or tr aditional computer vision). This paper introduces the JHCTech® Roadside MEC Equipment based on the 11th-Generation Intel® Core™ Processors and Intel® Distribution of OpenVINO™ Toolkit, which is used to support the 3D point cloud processing based on deep learning and the Sensor Fusion for Leishen® All-in-One Roadside Sensing Equipment (Lidar and Camera). We provide cost-effective Roadside Sensing and Roadside Edge Computing solutions for the C-V2X industry.