Case Study: Signify achieves smarter urban lighting audits with Sunflower Lab's AI-powered Interact City solution

Signify launches AI urban lighting audits in 3 months with Sunflower Lab

Signify, a global leader in lighting, faced the challenge of conducting time-consuming and labor-intensive on-site audits of urban lighting infrastructure. They partnered with vendor Sunflower Lab to develop a solution using the Phillips Interact City platform to overcome inadequate information and poor visibility for making infrastructure decisions.

The solution implemented by Sunflower Lab was an AI-powered web application that uses convolutional neural networks (CNN) to analyze Google Street View imagery. This technology automatically classifies light point types, assesses their condition, and generates detailed audit reports and 3D light map views without the need for physical inspection. The results were significant, with Sunflower Lab delivering a working prototype in just three weeks and a full version in three months, enabling Signify personnel to manage entire city infrastructures virtually with greater speed and accuracy.

Signify