Video Surveillance-Under the Hood: A Deep Dive into Security’s Artificial Intelligence Engine

Artificial intelligence is the future.

Even that simple statement provokes security professionals to tuck AI neatly in the corner of “not ready for prime time.”  The understanding the definition of AI in real use cases we can relate to, and where it has the potential to go can help us take advantage of the technology and plan for the future.

AI has already arrived.

Cybersecurity is just one area where AI and ML are solving many challenges of increased attacks of greater complexity, speed, attack vectors and automation.

A security application can use AI-powered facial recognition to sort through photos and locate faces. As the program sees more faces, it expands its own sorting process. It may start being able to differentiate between 10 faces, but as it has more datasets, it learns and leverages “skills.” Soon, the program differentiates between 25 faces. Then one hundred, increasing computational speed and delivering more accurate results and greater confidence for security professionals.

The sensor, process or machine isn’t actually thinking on its own and learning those new faces; it has simply been programmed to do so.

AI acts on a situation the same way a human would.

In this webinar we will move quickly through Artificial Intelligence and Deep Learning definitions you will be using on your “journey of security automation.” Deep Learning for the Security Practitioner applies human-like capabilities such as understanding natural language, speech, vision, special object recognition to fast-learning decision making and intrusion response scenarios.  We then will experience modern security and safety use cases like facility critical infrastructure protection, vehicular and personnel entry screening, perimeter detection, active assailant and cyber intrusion scenarios.

With each concept follows a quick public poll allowing a useful exchange of information and leveraging “the wisdom of the crowd,” much as deep learning solutions perform.

One process, for example, is focused on false-alarm reduction leveraging AI.  The practitioner taking the webinar will come away with how to leverage AI/DL to lower false alarm rates and measure the impact on the users protected by security management.  Like this? It gets even better with what take-aways you’ll get in the webinar:

1. How To Leverage Artificial Intelligence To Gain A Unique Business Advantage
2. How and who you will be your new AI solution collaborators
3. Legal aspects in AI and its impact on the legal industry
4. The demand for AI talent is already growing – who do you hire?
5. “Mature” Artificial Intelligence Markets: Retail, Cyber, Healthcare, and their use cases

Register below for this free webinar
October 17, 2018
TIME: 2:00PM ET - 1:00PM CT - 11:00AM PT

Steve Surfaro, With thirty years of security industry experience, Steve Surfaro is Chairman of the Public Safety Working Group for the Security Industry Association and Vice Chair of the ASIS Security Applied Sciences Council.  He is Standards Team Leader for the DHS S+T Video Quality in Public Safety Group.  Steve is published in a wide range of security publications and delivers industry-accredited sessions each year to audiences in the Americas, Middle East and Asia.

Steve is a subject matter expert in artificial intelligence, smart cities and buildings, cyber security attack trends, forensic video, data science, command center design and first responder technologies. He also delivers an industry intelligence feed on Twitter (@stevesurf) and bi-monthly podcasts.

He recently served as Public Safety Solutions Designer on the Super Bowl LIVE! Event, a multi-day sports themed event in Downtown Houston that attracted over 1M fans.  The City of Houston Police Dept considered it so successful that the solutions used will be re-deployed for crime reduction, early warning and traffic management.

Steve recently appeared on CNBC’s Closing Bell on the subjects of early warning systems and enhanced security screening, following the Mandalay Bay incident.

He is author of the Digital Video Handbook, a DHS S+T publication and the upcoming SIA Tactical and Smart City Solutions Handbook, providing guidance for law enforcement, fire and other first responders.  

Steve is the recipient of the BICSI Harry J. Pfister Award by the University of South Florida (USF) for outstanding contribution to the field of telecommunications/information and communications technology (ICT)

He received his Bachelor of Engineering from The Cooper Union on full scholarship in New York City.  He resides in Phoenix and in his spare time, is a published photographer and prototype creator.


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