Using Commodity Hardware as an Affordable Means to Track Onsite Visitor Flow
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Using commodity hardware as an affordable means to track on-site visitor flow Kyle Jaebker Director IMA Lab Indianapolis Museum of Art [email protected] g @kjaebker Gray Bowman Application Developer Indianapolis Museum of Art [email protected] @latenightwgray
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Low cost computing enables the cultural sector to pursue distributed tracking and monitoring systems that were out of reach just a couple of years ago. See how the IMA is using ultra-affordable computing to build an onsite visitor tracking system, and how log analysis is performed in order to map tracking data.
Transcript of Using Commodity Hardware as an Affordable Means to Track Onsite Visitor Flow
Using commodity hardware as an affordable means to track
on-site visitor flow
Kyle JaebkerDirector IMA LabIndianapolis Museum of Art
[email protected]@kjaebker
Gray BowmanApplication DeveloperIndianapolis Museum of Art
[email protected]@latenightwgray
Photo via Flickr user reticulating
• NPD Group reported 70% Smartphone Penetration in Q3 2012
• comScore (2013) detailed 123.3 million Americans now own smartphones
Smartphone Growth
Photo via Flickr user reticulating
IMA Sept. 2012 Exit Survey• 73.3% of respondents carry smartphones• 25-44 Year olds, 83.7% carry smartphones
Smartphone Growth
Why use WiFi?
- Optimal range- Visitors already BYOD, use WiFi- Low cost hackable adapters- Available diagnostic tools
Hardware
Low Cost ~ $70 per device• Raspberry Pi• USB Wi-fi Adapter (monitor mode)• SD card
Agent Software
• Linux – Raspbian OS• Tshark – Packet Analyzer• Python
• Control Tshark• Handle Failures• Transmit Data
Server Software
Photo via Flickr user Martin Skott
• Python• Django – Service Endpoints & Reporting
• MySQL - data storage
Visitor Analytics• Vflow01 installed: 12/21/2012 (118 days)• Vflow02 installed: 03/26/2013 (23 days)• Vflow03 installed: 03/21/2013 (28 days)
• 53,637 unique devices detected• 455 per day
• Unique per agent• Vflow01: 45886, 388 per day• Vflow02: 7222, 314 per day• Vflow03: 13529, 483 per day
Visitor Analytics
Visitor Analytics: Devices vs Trafsys
Visitor Analytics: Frequency
Possible Applications: Flow
Possible Applications: Triangulation
Drawbacks: Multi-Device Detection
Photo via Flickr user DaveOnFlickr
Drawbacks: Range
Photo via Flickr user p4nc0np4n
Drawbacks: Privacy
Photo via Flickr user nitot
Drawbacks: Wi-fi Enabled?
Next Steps
• Range Testing• More data collection points• Enhanced software• Cleaning Data
Photo via Flickr user pawpaw67
