During the event CNL Software aims to share valuable insights, with visitors, 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 technology developments such as Artificial Intelligence (AI) and Machine Learning (ML) to help to identify and respond to incidents faster and more accurately.

“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”, said Craig Menzies, General Manager – ME. “The region is changing, we are seeing the digitalisation of control rooms as organisations evolve to meet today’s 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 the industry’s most comprehensive 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.

“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,” said Neil Huntingdon, VP Business Development at Cepton.

”This ground breaking 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 target sections of 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.”