Indoor Environmental Quality (IEQ) has become a growing area of research as people spend an increasing share of their time indoors. In workspaces especially, poor IEQ can negatively impact health, efficiency, and productivity. IEQ and occupant comfort are shaped by four main domains: thermal, visual, acoustic, and air quality. Among these, thermal comfort remains a major focus of investigation. Current methods often rely on continuous subjective feedback, which can be inconvenient, or direct body-attached sensors, which are intrusive. This has motivated exploration of standalone, non-intrusive solutions. Within this scope, this thesis presents the development of a novel approach for monitoring occupants’ thermal comfort through facial temperature analysis.