Omnilert Gun Detect: Harnessing Computer Vision to Tackle Gun Violence


Date:  Wednesday, May 22

Start Time: 5:25 pm

End Time: 5:55 pm

In the United States in 2023, there were 658 mass shootings, and 42,996 people lost their lives to gun violence. Detecting and rapidly responding to potential and actual shootings in an automated fashion is critical to reducing these tragic figures. In 2020, Omnilert, a pioneer in emergency notification systems, launched Omnilert Gun Detect, an AI-powered platform that combines gun detection, verification, activation of security systems and notification. Chad Green, Omnilert’s Director of Artificial Intelligence, will describe the development of Omnilert Gun Detect. He’ll cover why computer vision is the right solution to this problem, how Omnilert went about building the product and the business and technical challenges they overcame along the way. Chad will also talk about Omnilert’s market traction, and he’ll conclude with lessons learned in building this important system.

Track

Session Speakers

  • As Director of Artificial Intelligence at Omnilert, Chad Green directs the computer vision, machine learning and artificial intelligence efforts all designed to save lives with visual gun detection. With the tragic death of a close relative in the Sandy Hook school shooting in 2012, Chad used his extensive military and engineering background to begin work on gun detection software. He joined Omnilert, the pioneers in Emergency Notification Systems, to develop Omnilert Gun Detect that saves lives through early gun detection, mass communication and automated response. Prior to joining Omnilert, Chad spent more than 12 years in multiple roles at Artis, including VP of Engineering. He started his career at Northrop Grumman and BioFire Diagnostics. Chad graduated from the University of Utah with a Bachelor’s of Science (honors) in Electrical Engineering and a Master’s of Science in Physics Instrumentation.


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Omnilert Gun Detect: Harnessing Computer Vision to Tackle Gun Violence