Print Email Facebook Twitter Leveraging lighting systems with novel color sensor-based applications Title Leveraging lighting systems with novel color sensor-based applications Author Zhang, Ruiling (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Software Technology) Contributor Zuñiga Zamalloa, Marco (mentor) Degree granting institution Delft University of Technology Programme Electrical Engineering Date 2017-08-24 Abstract Lighting systems are attracting many researchers and companies to investigate the potential of light beyond illumination, by creating new smart illumination systems or developing indoor positioning methods. The main challenge in realizing novel systems is to process light information in such a way that new insights are discovered. There are typically two ways to measure and process light: through photodiodes, which are cheap, but offer little information; or through cameras, which offer much information, but are expensive and create privacy issues. There is however a third type of sensor that has not been investigated much in lighting systems: color sensors. Color sensors can be viewed as a middle-of-the-road approach between photodiodes and cameras. Color sensors are inexpensive, yet provide more information than simple photodiodes.This thesis proposes two novel color sensor-based methods to enable (i) a dynamic tunable lighting system and (ii) a light-based indoor tracking system. The former allows retailers to present their merchandise in an appealing way to their customers (by adapting the light in their shops based on the products' colors). The latter makes it possible to track objects by exploiting solely their exterior color (without modulating the light source or requiring objects to carry optical receivers). Our experiments indicate that the methods we propose are able to handle the complex lighting conditions one would encounter in realizing a dynamic tunable lighting system. Furthermore, our results prove that indoor tracking of objects is possible, given that objects are sufficiently distinct in their color. The accuracy of correctly identifying, and thus tracking an object is found to be 91.4%. Subject Color DetectionColor SensorColor TemperatureAutomatic tunable white lightingPassive SensingIndoor Tracking To reference this document use: http://resolver.tudelft.nl/uuid:9ddc8a10-29bf-491b-9a46-5e858bd9ccbe Embargo date 2020-09-30 Part of collection Student theses Document type master thesis Rights © 2017 Ruiling Zhang Files PDF Master_Thesis_Report_Ruil ... _Zhang.pdf 28.86 MB Close viewer /islandora/object/uuid:9ddc8a10-29bf-491b-9a46-5e858bd9ccbe/datastream/OBJ/view