Library Counter project

https://blog.stcloudstate.edu/ims/2018/02/06/library-counter-project/
short link: http://bit.ly/libcount

Library counters project from Plamen Miltenoff

https://blog.stcloudstate.edu/ims/2018/02/05/key-performance-indicator-toolkit/comment-page-1/#comment-843

From: <lita-l-request@lists.ala.org> on behalf of Mark Sandford <msandford@colgate.edu>
Reply-To: lita-l@lists.ala.org” <lita-l@lists.ala.org>
Date: Monday, February 5, 2018 at 7:32 AM
To: lita-l@lists.ala.org” <lita-l@lists.ala.org>
Subject: Re: [lita-l] Using Raspberry Pi(s) w/ Sensors to Obtain Counts on Occupancy in a Library Space

Berika,

We’re currently experimenting/piloting with RPis, the RPi camera module, and this code:

https://github.com/WatershedArts/Footfall

It’s working, generally, but it does require a good bit of config tweaking to get it to accurately count. It also needs (I’ve discovered) a certain amount of distance between the door and the camera. We have very low ceilings at our doorways and a single person can span the entire frame which appears to confuse the software. All that being said, it’s very much worth looking into.

Analytics out of the box aren’t great. The only built in report is only the current day’s numbers, but it’s pretty easy to export data. We have Libinsight from Springshare and I’m working on pumping that data into their system. It is tricky because the system basically records two things: a timestamp, and a positive or negative integer depending on whether or not the traffic was going in or out. By default, no generic analytics system seems to understand that well enough to display it the way I’d like, so I may have to create some custom reports using d3.js or similar.

I’m using the Pi 2 and standard camera module from Adafruit. I’d be happy to answer questions.

——-

Mark Sandford  Systems Librarian Assistant Professor in the Libraries Colgate University Libraries

On Thu, Feb 1, 2018 at 1:23 PM, <berika.williams@tufts.edu> wrote:

Hi all,

We are trying to automate counting the number of people entering and leaving a

specific floor of our library. (The library is located in a multi-use

building.)

We’ve looked at the awesome “Measure the Future” code but we need analytics

more akin to a gate count versus tracking movement of people utilizing the

space.

Have any of you used raspberry pis or other technologies to do this type of

tracking?

If so, would you be willing to share your hardware/software setup with us and

also what type of data/analytics you’re getting back from the system?

Thank you,

Berika

——————

Berika Williams

Research and Instruction

Emerging Technologies and Web Librarian

Hirsh Health Sciences Library/ Tufts University

145 Harrison Ave, Boston MA 02111

http://hirshlibrary.tufts.edu

  1. 617 636-2454

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