Can you describe your project in a few words?

AI4Helios+, a project around the optimization of public lighting systems through AI, coordinated by Connecthink in Spain, is focused on ensuring that public lighting operators can adjust the degree of lighting to a minimum depending on the demand forecast by human activity or weather conditions, using gamification tools to ensure the level of awareness of the impact of decisions. The goal it’s to find a balance between comfort and CO2 emissions. The project will be complemented by predictive maintenance of the public lighting components.

Who will help implement the AI solution?

Connecthink is an SME located in Barcelona with the mission to solve challenges through Artificial Intelligence since 2016. We combine a talented team and deep knowledge of AI technologies. On the other hand, IHMAN, a Malaga (Spain) company, knows the public lighting market, having data and a platform to be used in the project.

What is the AI solution the project plans to implement?

AI4Helios+ wants to improve the public lighting system by adjusting the lighting level according to actual needs. These real needs will be obtained from the weather forecast, moon phase, expected human activity in a specific area and energy price. According to the predictable context, these lighting needs will be proposed through a gamification tool so that the operator is aware of the impact the cost savings and CO2 reduction level that their decisions will have regarding leaving the standard lighting programming. On the other hand, we will incorporate a module for predictive maintenance of the luminaires. The historical data to train the predictive models will be enriched with context information at the weather level that existed at that time.