How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security

1. How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security Working “in AI”, having this amazing technology at your fingertips and spending your days discussing customer requirements and use cases across verticals and geographies, can skew one’s perception of how “smart” the world really is. AI is far along in automotive, mobile, big data, medical imaging and others, but there are still sectors that are just on the verge of their AI transformation, perhaps only recently having undergone a digital one. In my experience, it is, perhaps surprisingly, the case with surveillance for physical security applications.

2. How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security Working “in AI”, having this amazing technology at your fingertips and spending your days discussing customer requirements and use cases across verticals and geographies, can skew one’s perception of how “smart” the world really is. AI is far along in automotive, mobile, big data, medical imaging and others, but there are still sectors that are just on the verge of their AI transformation, perhaps only recently having undergone a digital one. In my experience, it is, perhaps surprisingly, the case with surveillance for physical security applications.

3. How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security Smart cameras and Intelligent Video Analytics (IVA, or VCA – Video Content Analytics) are being adopted, but more slowly that one would expect. A November 2020 North America-focused survey by Genetec found that only 23% of physical security environments have video analytics deployed. It also found that cloud adoption (mostly for storage, but also for video analytics) has been slow and that Video-Surveillance-as-a-Service (VSaaS, which usually incorporates IVA) use is very low (only about 2% have it deployed).

4. How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security • Another 2020 survey by IFSEC Global and IDIS (this time more focused on the UK and outside of North America) found that, while the vast majority of security professionals recognize the value of video analytics for security operations, over half (54%) are not using AI and deep learning in their surveillance systems. Also interesting is that of those that are using AI, only 9% use edge-based analytics!

5. How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security It seems that AI is starting to come in and users are beginning to discover the added benefits of smart analytics. But, for the most part, the small retail chain owner, the building management company and the security department for a medium-sized enterprise are still using a multitude of basic security cameras, relying on enlarged human staff for screen monitoring and legwork. And that is probably the best-case scenario.

6. How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security What is stymieing fast adoption? The top 3 reasons for not using video analytics have been cited by the security professionals surveyed by IFSEC-IDIS as: cost, data security and privacy and uncertainty about RoI (cited in their top 3 reasons by 85%, 52% and 50%, respectively). These understandable concerns have a lot to do with how IVA is deployed, rather than with the AI itself. Integrated into cloud-based or on-premise VMS (Video Management Systems), it just doesn’t make sense for everyone.

7. How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security For Further information on How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security please visit Hailo.ai