Swinburne University adds analytics to CCTV
Swinburne University is leveraging its fleet of 930 IP-based CCTV security cameras to tap into analytics on everything from number plate recognition to abnormal behaviour. It plans to further bolster its capabilities in the future by adding heat maps and facial recognition platforms.
Swinburne IT security specialist Chris Goetze told iTnews that collecting the analytics became possible after the university upgraded from analogue to digital surveillance cameras several years ago. That move had been inspired by a particularly nasty storm across Melbourne’s eastern suburbs.
Back in 2007, a big storm that went through Melbourne that caused a fair bit of property damage to our campuses. As a result of that, senior management realised they needed a way of seeing what was going on at all of the campuses in real time. It coincided with us doing a major network upgrade – probably our first one – to 10/100 PoE to every point and every comms room we had. And the decision was made to try to leverage off that investment in that network for CCTV. – Chris Goetze, IT Security Specialist, Swinburne University
Swinburne’s previous analogue CCTV system required physical video recorders within a couple of hundred metres of each camera. The move to IP-based digital CCTV, using Axis cameras and Milestone XProtect Corporate video management software, removed this physical limitation, allowing the university to centralise its storage of security footage at a data centre on its main campus in Hawthorn, where the analytics platforms are now hosted.
“You’re limited in distance between your camera and your recorders, and that impacts the placement of your recorders – there’s a couple of hundred metres between where your camera should be and where your recorder can be,” Goetze said. “We have campuses in Croydon, Lilydale, Wantirna and the CBD, yet they all connect on our network to our servers in Hawthorn. Because we have our own fibre connection [between campuses], we don’t have any latency issues.”
The university has now been able to leverage its IP infrastructure to introduce a number of analytics platforms, including iCetana for detecting unusual behaviour and Snap Surveillance to learn about the physical relationship between cameras, which integrate into the core Milestone platform using APIs. Licence plate recognition comes as part of the Milestone package.
Other pieces of the analytics puzzle – such as people counting – are done using applications deployed to the end devices.
“Because the cameras are a miniature Linux computer effectively, you can deploy apps directly on to the cameras, so we’ve deployed an app from a company called Cognimatics,” Goetze said. “That runs directly on the camera head and sends the data to a SQL database, and you can deal with the data however you want after that.”
The combination of IP cameras and analytics, specifically abnormal behaviour detection, helps the university’s physical security teams pick up things that happen around the university without having to monitor 600 cameras on screen. The camera-matching Snap Surveillance gives security staff a visual representation of the camera they’re interested in, along with other cameras nearby.
If you want to follow ‘person of interest A’ across the campus, this tool comes into its own then because you find your suspect on the camera, and it shows you nearby cameras they might walk towards. iCetana automatically detects abnormal behaviour or heavily changed conditions. We know it will pick up fights, someone falling over, or a car driving the wrong way. When you see them on the next camera you click on it to bring it into the central view in the Milestone software, and it, in turn, shows you other cameras that are nearby. It makes it much easier for control room operators to track someone without having to remember ‘oh it’s camera 68 I need to jump to now, which is in this building’. It just does it for them. – Chris Goetze
Not just security
The use of analytics goes beyond security, with people counting used to assist with the planning of library services.
We use this throughout the seven levels of the library to work out which areas are overloaded, which areas they need to expand, which services are used more than others. Are the periodicals more interesting than the computer lab? We’ve taken it a step further and put people counting in a number of study areas, and then present that information to students in a phone app, so they can see which study areas have spare seating without having to walk halfway across the campus only to find there’s no seats spare. – Chris Goetze
Swinburne is now looking to bring facial recognition analytics into the fold.
“Facial matching comes on and off the agenda occasionally. We’re quite interested in it, but at this stage it’s an expensive proposition,” Goetze said. “Because the university is an open campus, in suburbia and in the city, we have no boundaries. And between us and the police, there are persons of interest, and we would like to know if they’re on site or not. That’s where facial recognition would be handy.”
The university is also looking at a retail analytics and heat map platform called Vizualize, which could potentially be a tool for researchers.
“In retail, shops use heat maps to work out which of their shops are more popular and how long people stand in front of the shelves. There’s an app we can load on to the cameras that can do heat maps of areas,” Goetze said. “We have some researchers and faculties that are interested in doing that in their research spaces to better understand how people interact with their areas. The researchers are interested in the design of spaces, such as office spaces, and how things are utilised.”
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