Title:
Fewer Missed Incidents and Faster Response Times: How to Leverage AI for your GSOC and Guardforce
Description:
The purpose of this X-stage session is to educate the audience on four specific applications of Artifical Intelligence, Machine Learning, and Robotics through a product demo. Security leaders are looking for ways to get more out of the camera and alarm systems they've invested in, and are tired of missing incidents. Many programs can't even manage all of their access control alarms due to excess noise. The technologies showcased in this session will show them examples of exactly how Cobalt's solutions (and those of others) has helped companies such as FedEx, Salesforce, and Sutter Health become more proactive while delivering cost efficiencies for the business. More specifically, the demonstration will include a look at how to turn traditional cameras into smart cameras using cloud-based AI analytics, how to use Cobalt's Omni AI to tie together disparate PACS and VMS systems to detect threats such as tailgating in real-time, and how to combine AI and human video review to acknowledge, root cause, and clear 100% of access control alarms. Since this session is led by Cobalt's Chief Product Officer, it will be run like an educational and technical product demo - not a sales pitch.
Learning Objective #1:
Explain recent trends and advancements that have made it possible for AI, ML, and Robotics to be viable within physical security
Learning Objective #2:
Demonstrate how AI and ML can be used as a force-multiplier to help watch cameras, review alarms, and perform virtual patrols in conjunction with existing security officers
Learning Objective #3:
Develop a basic framework for how to assess AI and Robotics based solutions in the marketplace, and whether they are a fit for your program / business
Type:
X Stage
