Blue Iris Labs

The team pairs a low-cost, networked spectrometer with machine learning and data visualization to measure and model real-world light exposure. Their aim is to make monitoring and optimizing circadian-effective light practical for patients, caregivers, and researchers.

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Blue Iris Labs focuses on measuring, modeling, and improving light exposure for individuals living with Alzheimer’s disease and related dementias (ADRD). The technology centers on a battery-powered, networked spectrometer that functions as a wearable or room-based sensor to capture spectral light exposure near the eye. Data-driven visualization tools and machine learning methods are used to enhance measurement accuracy and relate light exposure to factors such as location, activity, and sleep quality, with the goal of enabling accessible monitoring and control of circadian-effective light in everyday settings.The team brings deep experience in lighting systems, IoT sensing, and health technology. Founder Erik Page has three decades of research and product development in lighting, lighting controls, and light-and-health applications, including roles at Lawrence Berkeley National Laboratory and the California Lighting Technology Center. AI and sensor development are led by team members with doctoral training in computer science and electrical engineering, including expertise in wearable health sensors and ultra–low-power wireless devices. Supported by prior NIH/NIA SBIR funding, the group aims to deliver accurate, affordable light-exposure tracking and analytics that can be used by clinicians, caregivers, and researchers working with ADRD populations.

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