Artificial Intelligence in Public Safety With Micheal Bingham of xIris
In crime shows, you often see a sleep deprived security guard snoozing in front of his monitor at the very moment suspicious activity occurs. This may or may not be a Hollywood creation, but what is real is the challenge of vigilantly monitoring a camera feed 24/7. Interestingly, most criminal and suspicious activity occur in front of a camera, but timely recognition and reporting create the greatest barriers to response from law enforcement.
In this episode, I sit with Micheal Bingham (Founder and CEO of xIris) to discuss how his team is leveraging artificial intelligence to improve public security. We discuss his beginnings in small town Mississippi and the move to the Big Apple, launching a product built for law enforcement, collecting and training data to detect criminal activity, benefits to joining an accelerator, and much much more.
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Show Notes with Timestamps (VIDEO):
2:20 Micheal launching his first software company while in high school
4:12 From a small town in Mississippi to the Big Apple
6:44 Origins of xIris | Rated Top 50 Startup in NYC
9:38 Types of crime and abnormalities detected by xIris
12:00 Launching with law enforcement and the decision to expand to commercial buildings
13:38 Building and testing the MVP
16:14 Finding datasets to use to train ML algorithms
18:00 Navigating the data labeling process for video classification
21:30 “If I could do it all over again, I’d prioritize obtaining data and labeling data…”
22:55 Developing data partnerships to get access to proprietary data
26:00 Initial go-to-market strategy | Getting a boost for accelerators (i.e. Plug n Play)
28:32 Determining what gets built next in the product roadmap
30:14 The process of joining an accelerator + pros and cons
33:33 Moving from solo-founder to identifying a partner
37:31 Getting help with UI design
39:11 Favorite tech tool: Asana
40:30 Why Micheal’s biggest inspiration is Sir Isaac Newton
Previous Episode: Jason Smith, Co-Founder & CEO of Klue