What if a store could know which shelves people actually notice — without installing a single new camera? 👀 Researchers are developing technology that can use existing signals and sensors inside a retail environment to understand where shoppers are looking and which parts of a store attract the most attention. Instead of relying on additional cameras, the system can analyze how people move through the space and interact with their surroundings. This could help retailers understand which products get noticed, which shelves are frequently ignored, and how customers naturally navigate a store. The idea is especially interesting because physical stores already generate huge amounts of data. Foot traffic, movement patterns, existing infrastructure, and other environmental signals can potentially be combined to create a picture of shopper attention — without having to add another camera to every aisle. For retailers, this could mean better product placement, more efficient store layouts...