Occupancy count is a critical metric for efficient smart building management. Despite advancements in sensor technologies, achieving accurate and robust low-cost privacy-safe occupancy counting remains to this day an unsolved challenge. Visible Light Sensing has in recent advances been shown to be a potential viable solution for such a system. This thesis aims to test the viability of VLS for occupancy counting, more specifically through the use of Spectral Light Information. Spectral Light Information is obtained via a single color sensor that decomposes ambient light into a finite number of channels. In this work, we use an off-the-shelf TCS34725. This thesis documents the development of this SpectraCount system, along with its analysis. To try and reach a robust and accurate final system, we propose to integrate our SLI-based system with a state-of-the-art commercial solution. This solution is aligned with our plug-and-play, privacy, and cost requirements. It utilizes thermopile arrays, along with background removal and blob detection technology. We use use sensor fusion to try and correct the inherent errors of both solutions. Moreover, we compare the result of SpectraCount to the previous only thermopile-based solution. The novel algorithm for color-sensor-based occupancy detection and count achieves an accuracy of 79.67\% as a standalone system for detection and 52.8\% for counting. By exploiting the advantages of both thermal and visible light sensing technologies, we obtain an improvement of 55.4\% compared to only thermal solutions, and no improvement over the standalone SpectraCount system.