There are market predictions about exponential growth of smart lighting and IoT. Lighting
systems are touted to be the gateway into making buildings intelligent. This implies that lighting systems have the potential to be robust information distribution systems. Before we delve further into smart sensors, machine learning and analytics as related to lighting control technologies, let’s back up further to the basic principles of information technology. An easytounderstand framework of IT systems and terminology will be presented. We will take a critical investigation of the basic principles of data processing, data storage and data transmission in order to equip the lighting designer.
Lindsay Stefans, MFA, MBA is a technology and design strategist with a keen sense of lighting applications. She has over two decades of experience in an array of environments: large multinational corporations, startups, and design collectives. Lindsay is a former professional member of the IALD, is LC certified by the National Council on Qualifications for the Lighting Professions (NCQLP), and possesses formal training in lighting for architecture with a Master’s degree in lighting design from Parsons School of Design in New York City, where she later went on to be an instructor, and has recently attained a Masters of Business Administration from California State University. She is the founder and director of Metafarm, a design research and consulting firm based in Chicago.