this post was submitted on 07 Jun 2026
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School shooting survivor sues AI gun detection firm after system failed to spot weapon (arstechnica.com)
submitted 1 day ago by tonytins@pawb.social to c/technology@lemmy.world
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The injured teenage survivor of a January 2025 shooting at a Nashville, Tennessee high school recently sued the manufacturer of an “AI gun detection” system that failed to detect the handgun that left two dead, including the shooter.

According to the lawsuit, which was filed in Davidson County court last month, the security company Omnilert either knew or should have known that there were “significant operational limitations in its gun detection system that could result in detection failures during actual emergencies, including limitations based on camera placement, proximity of the weapon to camera sensors, camera angle, lighting, and weapon visibility.”

Omnilert cofounder Ara Bagdasarian declined Ars’ invitation to answer questions about the lawsuit. System Integrations, the other defendant in the case, which resold the Omnilert system, also did not respond to Ars’ request for comment.

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[–] Wispy2891@lemmy.world 4 points 11 hours ago (1 children)

so, train the computer vision model for a gun and train again for a shotgun. Run the two detection models at the same time.

Your approach is the typical "but if you really want you can use an atomic bomb to kill mosquitoes" - yes, you could do that, but nobody is paying $1 mil/year in inference costs (+some expensively licensed software to wrap around that) when it can be done locally with a $300 GPU (+ some expensively licensed software to wrap around that)

[–] db2@lemmy.world 0 points 7 hours ago

I gave a lot more than two examples and it was hardly exhaustive.