Security, Surveillance, Transportation

PA Transit Authority to Deploy AI Gun Detection System

To decrease response times to incidents at which a gun is brandished, the Southeastern Pennsylvania Transportation Authority (SEPTA) is rolling out a pilot program involving AI gun detection on subway platforms in the system’s transit division.
Jan. 13, 2023
4 min read

To decrease response times to incidents at which a gun is brandished, the Southeastern Pennsylvania Transportation Authority (SEPTA) (Philadelphia, PA, USA; www.septa.org) is rolling out a pilot program involving AI gun detection on subway platforms in the system’s transit division. SEPTA is the first transit system to deploy the system, created by ZeroEyes (Conshohocken, PA, USA; www.zeroeyes.com).

The subway system in Philadelphia, Pennsylvania, consists of the Broad Street Line, the Market-Frankford Line, and a subway/surface line. According to Kelly Greene, Public Information Manager, SEPTA, the pilot will use approximately 300 cameras at a mix of stations along the Market-Frankford and Broad Street Lines. “SEPTA expects this new technology to be part of the solution to gun violence,” says Greene. “It can act as an early warning system to speed up response times from police officers. ZeroEyes is another tool that SEPTA can use to keep its riders and employees safe.”

Tim Sulzer, CTO and Co-Founder of ZeroEyes, explains, “As far as our artificial intelligence, we got started about four years ago trying to build a weapon detection model that would work on security cameras. We went through a lot of challenges trying to build our own dataset. We started off scraping images from the Web and found out quickly that you need a dataset built in the environment you want to perform in.” ZeroEyes built an “AI Green Screen Lab” that allows it to take customers’ backgrounds from their cameras and record employees walking around with guns in the customer locations. It has allowed the company to create a 100% organic dataset. The green screen lab is approximately 5,000 sq. ft., and there are hundreds of cameras set up. ZeroEyes can record data from different heights, different camera types, different fields of view—all of the potential factors that go into creating a high-performing AI model. “So over the past four years, we’ve been iterating on that process,” Sulzer adds. “We train our deep learning models, using some of the modern architectures. For a while it was Faster RCNN models (region-based CNN models), but more recently the newer variants of YOLO models have been really productive for us.” ZeroEyes built the entire dataset completely in-house to the tune of hundreds of thousands of images.

ZeroEyes’s proprietary software will be layered on top of SEPTA’s existing security cameras. It will identify brandished guns and dispatch alerts to safety personnel and local law enforcement as fast as three to five seconds after detection. Former U.S. military and law enforcement specialists monitor every detection 24/7/365 from the in-house ZeroEyes Operations Center (ZOC) to deliver accurate and actionable intelligence on gun-related incidents, including the gunman’s appearance, clothing, weapon, and real-time location. They will also eliminate false alarms. ZeroEyes AI does not perform any facial recognition or receive, record, store, or share videos or images of any person. “We have the ZeroEyes Operations Center in Conshohocken that is responsible for filtering through false positives and dispatching only true weapon alerts,” says Sulzer. “So, 100% of alerts generated by our system are sent to our ZOC and go through human monitoring to make sure that zero false alarms ever reach the end customer. At the point that there is a true weapon alert, we will click dispatch and that dispatch button will send the alert to whatever security point of contact the customer requests.”

Greene adds, “The software searches for objects on the camera feeds. If the AI detects something that resembles a brandished gun, it alerts former military and law enforcement specialists in the operations center. Once verified, the specialists contact local law enforcement within seconds.”

According to Greene, implementation is expected to take approximately two months, and the pilot will go live shortly afterwards. SEPTA plans to develop metrics for evaluation as the six-month pilot gets underway, and if successful, the transit agency will consider rolling it out at other locations across the system. “SEPTA is always looking to get more eyes on our surveillance cameras to maximize that resource. Initiatives like this one can help us take a proactive approach to security by monitoring our extensive camera network,” she says.

Sulz er adds, “I’m excited that we’re kicking off this presence in Philadelphia. It's no secret that gun violence has been a very key issue in some of these large East Coast cities, and anything that we can do as a company to help prevent or mitigate gun violence or mass shootings, that’s our mission.”

About the Author

Chris Mc Loone

Editor in Chief

Former Editor in Chief Chris Mc Loone joined the Vision Systems Design team as editor in chief in 2021. Chris has been in B2B media for over 25 years. During his tenure at VSD, he covered machine vision and imaging from numerous angles, including application stories, technology trends, industry news, market updates, and new products.

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