Re: [LINK] Surveillance system

[Tom Worthington]

On 13/05/16 11:01, Stephen Loosley wrote:


...abnormal behaviour ... library ...


What is abnormal behavior for a student in a library?

"*BEEP BEEP BEEP* PANOPTICON ALERT:

Abnormal behavior detected in library: Student reading a book.

*BEEP BEEP BEEP*"

;-)

ps: I am charing part of EduTECH 2016, 31 May in Brisbane, which 
includes the future of university libraries: 
http://blog.highereducationwhisperer.com/2016/05/edutech-2016-tertiary-education-it.html



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Tom Worthington FACS CP, TomW Communications Pty Ltd. t: 0419496150
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Re: [LINK] Surveillance system

[JanW]

At 11:01 AM 13/05/2016, Stephen Loosley wrote:

>Swinburne Uni adds analytics to CCTV
>
>Looking to expand to facial recognition, heat maps. 

And come up with a brand new name:  Prison.




I write books. http://janwhitaker.com/?page_id=8

Melbourne, Victoria, Australia
jw...@janwhitaker.com
Twitter: JL_Whitaker
Blog: www.janwhitaker.com 

Sooner or later, I hate to break it to you, you're gonna die, so how do you 
fill in the space between here and there? It's yours. Seize your space. 
~Margaret Atwood, writer 

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Re: [LINK] Surveillance system

[Andy Farkas]

On 13/05/2016 11:01, Stephen Loosley wrote:

“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.


I fear for my daughter's future

-andyf

PS. She's 2

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[LINK] Surveillance system

[Stephen Loosley]

Swinburne Uni adds analytics to CCTV

Looking to expand to facial recognition, heat maps.

By Andrew Sadauskas  May 13 2016  10:00AM
http://www.itnews.com.au/news/swinburne-uni-adds-analytics-to-cctv-419483


Swinburne University is leveraging its fleet of 930 IP-based CCTV security 
cameras to tap into analytics on everything from number place 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 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, there was 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 all of the 
campuses in real time,” Goetze said.

“It coincided with us doing a major network upgrade – probably our first one – 
so 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."

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 Corporate 
XProtect 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 your camera should be and where your recorder can be,” Goetze said.

“We have campuses in Croydon, Lilydale, Wantirna and the Melbourne 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 abormal behaviour 
detection, helps the uni's physical security teams pick up things that happen 
around the university without having to monitor 600 cameras on screen, Goetze 
said.

“iCetana .. automatically detects abnormal behaviour or heavily changed 
conditions. It does that without a rule base, so we know it will pick up 
fights, someone falling over, or a car driving the wrong way,” Goetze said.

The camera-matching Snap Surveillance gives security staff a visual 
representation of the camera they’re interested in, along with other cameras 
nearby.

“So 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," Goetze said.

“When you see them on the next camera you click on it to bring it into the 
central view, 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.”

Not just security

The use of analytics goes beyond security, with people counting used to assist 
with the planning of library services.

“We use it 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?” 
Goetze said.

“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.”

Swinburne is now looking to bring facial recognition analytics into the fold.

“Facial matching comes on and off