Detecting product misplacement is a common task in retail environment, a customer takes a product and then leaves it on another shelf or a staff member places products in the wrong place during stock-take or stock replenishment. The ability to detect such events will lead to significant savings and will improve customer experience.
We have developed an AI model that is capable of recognising, identifying and analysing products located in a retail shelf landscape, in single image or video stream. In addition to the detection of product misplacements we have added an ability of AI model to learn and recognise boundaries of ‘product placement’ areas, see ‘Chocolates Only’ area.
The below video demonstrates how AI model responds to product movement and product placement area resizing events in real time. Product misplacement alert is automatically generated when product is detected as being outside of the dedicated area or product was detected inside prohibited area.
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This AI case study has been conducted in Australia, Melbourne.