Preventing mass shootings with AI detection
Maine, a state admired for its serenity and scenic beauty, experienced an unimaginable nightmare recently. It was Robert Card, an assault rifle-carrying gun instructor with documented mental problems, who gunned down 18 innocent people. After an intensive search by law enforcement, the 40-year-old suspect was found dead two days later.
Following the tragedy in Maine, we’re in desperate need of a solution in the era of escalating gun violence, with 690 mass shootings reported in 2021, 646 in 2022, and 2023 already showing harrowing figures. A technological edge might just be the key to success.
Suppose AI-powered security cameras detected the firearm in Card’s hand before he could unleash his violent plan. A description of Card, the type of firearm he carries, and his exact location are immediately sent to local police.
He cannot access potential targets because nearby establishments automatically lock their doors. When law enforcement arrives, it is able to confront and neutralize the threat before anyone is killed. There’s nothing futuristic about this scene; it’s a promising reality offered by ZeroEyes.
Developed by former Navy SEALs and technology experts, ZeroEyes uses artificial intelligence to detect guns in live security camera feeds. The difference between life and death can be determined by seconds during moments of potential violence.
Prevent mass shooters from inflicting harm. Recent tragedies such as the one at the bowling alley and restaurant in Maine might have been avoided if the policy had been implemented broadly.
The co-founder of ZeroEyes, Sam Alaimo, points out a chilling but crucial fact: guns are often seen brandishing well before shootings begin. It indicates a potential window of opportunity for preventive action.