Photometrics AI uses spatial data and AI-driven analytics to optimize outdoor lighting, ensuring the right amount and type of light is directed at streets, sidewalks, crosswalks, and bike lanes while minimizing light pollution in private properties and natural habitats. By integrating advanced geographic setpoints and machine learning, Photometrics AI provides precise control over lighting performance, enhancing safety and efficiency in urban environments. The system delivers significant benefits including energy savings, improved transportation safety, environmental protection, and crime prevention. Photometrics AI is supported by two patents, US9894736B2 and U.S. Serial No.: 18/660,680 (patent pending).

Photometrics AI leverages 3 major tactical advantages over the way street and roadway lighting is accomplished today.

• Data driven maps - instead of CAD, allowing a more comprehensive representation of lighting levels

• Geographic Setpoints - Users specify target lighting levels. Photometrics AI works to achieve it. Like a thermostat.

• Artificial Intelligence – Built upon a machine learning algorithm, results for entire cities/projects are rendered in minutes, not days or weeks.

Photometrics AI integrates advanced raster analysis with artificial intelligence to pinpoint the optimal performance of each luminaire. It incorporates diverse data sources such as atypical roadways, intersections, elevation variations, and nighttime crime and crash statistics, as well as environmentally sensitive areas. This comprehensive approach informs the machine learning algorithms, ensuring that lighting is purpose-driven and effectively executed. Photometrics AI represents a groundbreaking advancement in street and roadway lighting, offering a smarter, more efficient, and faster method to illuminate our communities.