Exploiting Color Sensors to Provide Optimal Lighting and Anonymous Tracking in Stores

Ruiling Zhang, Marco A. Zuñiga Zamalloa, Vana Jelicic, Martin Siegel

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

To compete with online shopping, retailers are constantly looking for ways to improve the display of their products and to track customers to obtain shopping patterns. We propose a general framework that exploits simple color sensors on ceilings to tackle the above-mentioned challenges. Our first contribution is a tunable lighting system that estimates accurately the true color of a product, and then, adjusts automatically the type of lighting to increase the product's appeal. Based on this accurate estimation of color, our second contribution is a system to track people anonymously. Relying solely on the reflections coming from people's clothes, hair and skin, we use color sensors to generate unique optical signatures for individuals. Our evaluation shows that, in spite of the limited information provided by color sensors, the optical signatures are precise enough to differentiate people with very similar appearance except for some minor differences in their clothing.
Original languageEnglish
Title of host publication2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
Place of PublicationDanvers
PublisherIEEE
Pages1-9
Number of pages9
ISBN (Electronic)978-1-7281-6630-8
ISBN (Print)978-1-7281-6631-5
DOIs
Publication statusPublished - 2020
Event17th IEEE International Conference on Sensing, Communication and Networking, SECON 2020 - Virtual, Online, Italy
Duration: 22 Jun 202025 Jun 2020

Publication series

NameAnnual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks workshops
ISSN (Print)2155-5486
ISSN (Electronic)2155-5494

Conference

Conference17th IEEE International Conference on Sensing, Communication and Networking, SECON 2020
CountryItaly
CityVirtual, Online
Period22/06/2025/06/20

Keywords

  • Indoor Tracking
  • Tunable lighting
  • Visible light

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