Advanced LiDAR Sensors Significantly Increase Security

photo illustration perimeter security

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South Korea has been upgrading perimeter security at sensitive sites from legacy camera-based systems and traditional ways of preventing intrusion. A LiDAR-based security solution has been recently selected for a major security facility in South Korea. 

US-based Quanergy Systems will deploy there its perimeter security system, based around its own LiDAR (Light Detection and Ranging) sensors. 

The firm claims that the particular facility will now be integrated with its LiDAR-based QORTEX DTC, expected to significantly improve the performance of surveillance systems. It is “a smart, fully automated and accurate solution that can substantially improve awareness to interpret the world around us.”

The sensor’s compact design, based around multiple laser beams and time-of-flight (TOF) depth perception, is said to yield 3D point clouds for spatial sensing in any weather conditions, at a rate of 420,000 points per second, according to

The platform is based around the “M8” LiDAR sensors, in combination with proprietary artificial intelligence perception software. “Quanergy’s patented M8 lidar sensor allows a complete 360-degree view in any light or weather condition, while the QORTEX software incorporates 3D perception algorithms to detect, track and classify objects based on the rich point cloud data received from the M8,” adds the company.

Described as the first cost-effective, long-range lidar sensor for use in dynamic situations, the M8 is aimed at applications in 3D mapping and harsh industrial environments, alongside security.

For this particular deployment, which is expected to take place over several phases in the coming months, Quanergy is working with local system integrator iCent. 

According to the company website, the LiDAR technology at the helm of all its sensors uses Time-of-Flight (TOF) capability to measure the distance and reflectivity of objects and record the data as a reproducible three-dimensional point cloud with intensity information.