Chief Product Officer at Actuate, Ben Ziomek, joins the podcast to discuss a new and potentially life-saving application of artificial intelligence and computer vision technology.

Tune in to learn the following:

• Why and in what ways in can be challenging to detect weapons on camera without the AI-based technology that’s been developed and employed by Actuate
• How much video footage is necessary in order for this technology to identify and alert the authorities of a potential threat or gun detection
• How many false positives are generated on average, and the important trade-off between sensitivity and false positives

Over the last several years in the U.S., there has been an unprecedented number of mass shootings and active shooter events. Unfortunately, even one second in the delay of an emergency response can cost several innocent lives. Actuate is an AI computer vision-based company that set out to address this problem.

They began by speaking directly with law enforcement officers about what would help them mount more effective responses to these situations. One of the most consistent requests from these officers was for a way to determine where an active shooter is located within a building, and what type of weapon they have.

In response, the team at Actuate has developed an AI and computer vision technology-based solution that can plug into virtually any security camera system that exists and instantly detect a visible weapon with better-than-human accuracy. In less than a single second, this technology can identify a weapon and alert the authorities.

Each time there is an alert, a unique link is generated that can be shared with anyone who needs it, allowing those individuals to instantaneously track the person around the facility. Actuate is working with every type of security platform, and can notify teachers as well as automatically trigger the lock down of any facility when necessary.

Press play for all the details and learn more by visiting actuate.ai.

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