The Santa Fe Detector [SFD], a computer vision solution, shall act as a first line of defense for identifying potential threats in schools by actively detecting firearms using existing camera infrastructure and machine learning.
On May 18th 2018, a school shooting occurred at Santa Fe High School in Texas. Ten people were fatally shot and thirteen suffered non-fatal injuries during the incident. Texas Governor Greg Abbott said in a press briefing that the attack was "one of the most heinous attacks that we've ever seen in the history of Texas schools.” Strategies to mitigate school shootings by improving security measures and training were proposed.
Evidently, mass school shootings, a subset of active shooter attacks, raises concerns due to growing demands to keep American children safe. The Department of Homeland Security describes active shooter attacks as malicious incidents where “in most cases, active shooters use firearms(s)”. The Federal Bureau of Investigation accounts for an increasing number of casualties of active shooter attacks with a total of 729 killed and wounded persons in year 2017. From 2000 to 2017, the FBI reports a total of 2,217 casualties.
Wavecast Technologies proposes a real-time firearm detector called “Santa Fe Detector” that uses existing CCTV and security camera infrastructure. The software uses artificial intelligence to track persons and classify firearms. The technology is intended to supply security personnel and first responders with an active, always on, alert system for prevention and risk mitigation of school shootings.
Below is a video of the real-time gun detection algorithm on a CCTV feed. The current detection implementation uses Machine Learning to detect persons and guns in the video.