Webinar Description
Within the next five years, there will be around 45 billion cameras on Earth, which equates to roughly six cameras for every single human on the planet.
Leveraging AI-powered video analytics when combined with a unified on-premise and cloud security system, security teams can do more with less, while maximizing resources to make monitoring high definition security video more affordable and efficient. This abundance of information and data far outweighs our ability to process and analyze all this information on our own. Security teams watching hours of video from multiple camera feeds over the course of a day poses a real risk of critical events being missed.
The more data that needs to be consumed, analyzed, evaluated, and investigated, the more challenging it is for security operators to determine what matters most and be as effective and efficient as possible. Artificial Intelligence, or AI, powering video analytics can help increase the productivity of security personnel and enable effective monitoring of events to facilitate proactive, real-time responses.
Learning Objectives
- Understand which applications are the most appropriate for AI-based automation
- Achieve a high-level understanding of how AI algorithms work
- Receive knowledge on the current and future trends of how AI can be applied to video security
Presenter*
Mahesh Saptharishi
Senior Vice President and Chief Technology Officer
Motorola Solutions
Mahesh Saptharishi is senior vice president and chief technology officer. He is responsible for the company’s public safety software and mobile video solutions. He also leads the chief technology office.
Saptharishi joined Motorola Solutions in 2018 through the acquisition of Avigilon, a video security solutions company, where he served as senior vice president and chief technology officer. Prior to Avigilon, he founded VideoIQ, a video analytics company that was acquired by Avigilon, as well as Broad Reach Security, which was later acquired by GE.
He earned a doctoral degree in artificial intelligence from Carnegie Mellon University.
*Note: Speakers and content are subject to change without notice.
Credit Information
Completion of this webinar is eligible for 1 CPE credit. CPE credits for ASIS-sponsored webinars will be updated in your user profile within 48 hours of completion. Self-reporting of CPE credits is not required.