Quanergy Upgrades Software to Reduce False Alarms for 3D Lidar

QORTEX 400x275

November 1, 2022

Quanergy Systems, which develops lidar sensors and smart 3D solutions, has announced upgrades to its QORTEX DTC and Q-View software that support its MQ-8 series of lidar sensors. The new features of the upgrade include significantly improved accuracy and drastic reduction in false alarms, thanks to its motion-based noise reduction mechanism and first occlusion filter/object stitching mechanism, the company said.

In addition, the company offered improved security and flexibility as part of the updates for security, smart space and smart city applications. The company said a security incident can cause an immediate hassle, but its impact also has a ripple effect with companies having to navigate business disruption to the impact of brand reputation and even potential legal ramifications.

QORTEX is Quanergy’s lidar-based software that provides 3D perception and volumetric sensing to enable detection, tracking and classification of 3D vehicles and human-sized objects in real time. QuanergyM8 300pxUpdates of the QORTEX 2.3 version include:

  • Motion-based noise reduction, called the movement threshold filter, which easily filters out noisy elements, such as bushes and foliage. The company said this drastically reduces the amount of false alarms, turning those alarms from a roadblock to a security enabler;
  • An occlusion filter, which relies on smart object stitching to ensure that even if a person being tracked goes behind a wall or another occlusion, the system doesn’t recognize them as a new individual when they reappear, and will continue tracking them where it left off;
  • Anti-masking capability to detect and alert when an intruder attempts to thwart the sensor by blocking or masking it with paper, tape, or spray paint;
  • Enhanced user and password management for increased ability to set permissions and access tiers, as well as accessible logs for auditing;
  • A counter line feature that builds onto existing occupancy detection capabilities to track how many people have gone into and out of an entrance or exit;
  • Zone object count by classification type – if several objects enter a zone, QORTEX can now make a distinction between vehicles and human-sized objects in terms of counting;
  • Support for Ubuntu 20.04 and IPv6 addressing, offering more flexibility for users.

Quanergy said Q-View, a software-based configuration tool kit for the lidar-based sensors, has been updated in alignment with the QORTEX upgrades. Q-View provides information about a sensor network and its performance, along with tools to calibrate and align the sensors.

“Cameras can’t address all of the use cases our customers are grappling with when it comes to flow management, intrusion detection, privacy and other aspects of physical security,” said Sonny Sekhon, senior product manager of flow management at Quanergy. “We continue to innovate and improve upon our Q-View and QORTEX software for enhanced flexibility, security and incremental functionality – providing solutions and leapfrogging that supplements users’ existing investments and takes their systems to the next level.

For more information on Quanergy’s technologies, visit its website here.

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