By Nick Heath, 31 January 2008 15:42
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The camera connects with a video analysis server containing a database of store items, which recognises products by reducing their image to a series of points and linking it to a description. This analysis produces a snapshot of missing goods, shown here.
The system allows stock to be quickly reordered and detects products not facing the right way or in the wrong place on the shelves.
The trial system uses a five-megapixel camera and can handle a database of thousands of objects but currently struggles with more visually complex items such as clothes and vegetables.
The system could be linked to handheld devices, instantly telling employees on the shop floor which goods are needed where.
Photo credit: Accenture
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1. Ollie Clark
Have Accenture actually asked any retailers if they want or need a system like this? When I worked in Tesco, we had an amazing system of informing the shelf stackers that shelves needed filling. They walked around whilst they were filling shelves, took a note of empty shelves and then went to get some stock to fill them up. I can't see any advantages this system has over that and it's going to cost a lot more than paying shelf stackers to look at shelves.