CNL exhibits Physical Security Information Management Software at Intersec 2020

CNL focuses on technology that drives the digital transformation of control rooms across the Middle East region. CNL is joined by Cepton Technologies, a developer of 3D sensing solutions, who are showcasing their latest correlation of LiDAR data with real time video visualisation.

CNL Software will share valuable insights into its open, adaptable, scalable and secure PSIM solutions as chosen by regional governments, military, enterprises and cities. It will discuss how security operations can leverage the latest technological developments such as artificial intelligence (AI) and machine learning (ML) to help to identify and respond to incidents faster and more accurately.

Craig Menzies, general manager – ME, said, “CNL IPSecurityCenter is trusted by the best-informed security operations in the Middle East to provide proactive control from a central command centre and supports autonomous local operations.

“The region is changing, we are seeing the digitalisation of control rooms as organisations evolve to meet the security challenges. CNL is driving this within our customers, enabling them to leverage from the best of breed technologies.”

When integrated with IPSecurityCenter, Cepton further enhances PSIM system solution, providing users with access to more of the tools they need to quickly see, understand, assess and properly resolve perimeter security and surveillance incidents, consistently.

Neil Huntingdon, vice-president Business Development at Cepton, said, “For the first time in the Middle East, Cepton will be showcasing the correlation of LiDAR data with real-time video visualisation. From a technical perspective, the camera will be calibrated into a common coordinate system with the LiDAR.As a result, it will provide 3D world coordinates from the LiDAR onto a 2D video stream.

“This system provides instant video confirmation of targets detected by the LiDAR network, which will reduce false positives and allow threats to be identified faster. We have also created targeted zones for critical areas, where we can use superior algorithms without the need for additional computing hardware. This functionality also allows us to target sections of the video, which can be stored in high-resolution while the rest is stored in lower resolutions leading to increased efficiency and reducing the need for expensive processing and storage.”

Stand S1-G33