Edge and Cloud Video Gain Momentum

As the industry heads into 2023, it brings with it trends that are utilizing edge and Cloud technology with the promise of providing greater employee safety, building security and business productivity. Business Development Sales Engineer for Netronix Integration, Anthony DiCato, spoke with PSA Security Network on current and incoming trends.  

Integrating Multiple Technologies  

Video surveillance and access control use are expanding within global businesses into a solution that allows for a more reliable security system. “The evolution of video and Cloud technologies continues,” DiCato explains. “As organizations seek to implement intelligent Cloud video surveillance and operational analytics to increase efficiency rather than basic card readers and cameras, [there has been a wave] of video integration into access control.”  

Manufacturers are including new feature sets beyond the standard camera and recorder. DiCato reveals that “human-centric security through insight and analytics such as object-oriented searching, heat maps, anomaly, gunshot, scream detection, and other rules and alarms are being integrated within systems.” 

Edge Recording to Cloud  

Cloud-based systems are increasing as more businesses utilize the Cloud subscription model for storage and analysis of data from edge recording devices. This approach is recording to the edge device and then to a Cloud-based system rather than the typical video monitoring system (VMS) or networking video recording (NVR) system.  

DiCato shares a key benefit of edge recording to the Cloud is that it, “is a hosted, secure and constantly updated environment that changes the model of maintenance and value we bring to the customer as an integrator.” 

Cloud & On-Premises Hybrid  

Manufacturers are providing solutions to support the migration of on-premises products to the Cloud environment. DiCato shares insight that “organizations are making a partial transition in integrating on-premises and Cloud platforms.” He explains, “This transition approach invites the use of new solutions without going totally bleeding edge.” The push toward the Cloud is for businesses to benefit from the operational and financial advantages, such as reduced operational complexity and costs, reduced vulnerabilities, staying secure and up to date, and availability of redundancy protection.  

In addition to offering a scalable and expandable platform for new feature sets, moving to the Cloud model provides the benefit of increased system availability and redundancy included. DiCato shared a recent scenario that when “a Cloud manufacturer had rolled out an upgrade to its system and the upgrade had some issues, [the system] was rolled back online in 14 minutes, compared to possibly 24 to 48 hours with an on-premises software specific version system requiring possible removal, database rollback and reinstallation.” 

AI and Analytics  

Artificial intelligence (AI) and AI-like feature sets are now integrated into most systems adding to the migration from on-premises system to the Cloud. DiCato explains, “We are seeing AI added to base offerings providing enabling static analytics such as line diagramming and occupancy counting.” He adds, “At the global enterprise organization level, we are seeing other AI manufacturers providing deep learning, using GPUs in big server environments.”  

These true AI systems learn while processing multiple sites with multiple cameras. It is impossible for a person to look up the millions of incoming alarms and identify the date and time, the AI deep learning systems bring the alarms that matter to the forefront helping the global security operations center (GSOC) perform at a better rate.  

Specific to the trend in AI is the use of object-oriented recognition or object detection. DiCato explains, “This approach enables a more cohesive deployment with cybersecurity and VMS systems” providing a noninvasive approach to “obtaining data in line with NIST and cybersecurity frameworks to detect these anomalies to keep our organizations, people and assets safe.”  

Implicit vs. Zero Trust Models  

A Zero Trust model is an approach that eliminates implicit trust in the system and continuously requires validation at every stage of the interaction. “Another trend we’re seeing is the shift to a Zero Trust Model for organizations,” says DiCato. He adds, “This is a complete removal of access control and VMS even at the organizations internal network and moving a manufacturer’s system to separate network switches where specific teams take responsibility for the complete system management.” Once considered only for cybersecurity, “we are now seeing an increase of systems at the physical security level moving toward some standards of the framework,” he explains.  

“As new technologies and integrated systems come to market, it is critical there is proof-of-concept, and user acceptance testing if possible. Especially due to the compliance and regulatory considerations,” adds DiCato. Video integrated with deep learning AI systems brings to the forefront new regulatory requirements currently being addressed and in future trends. 

Kristie Kidder is Director of Marketing & Communications for PSA. kkidder@psasecurity.com

The post Edge and Cloud Video Gain Momentum   appeared first on Security Sales & Integration.

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