Which computer vision technology is most commonly used in modern smart shelf systems to accurately detect product removal and identify specific items?

Smart shelves represent one of the most innovative intersections of science and retail. These AI-powered systems use weight sensors, RFID technology, and computer vision to transform inventory management and enhance customer experience. They can detect when products are running low, track customer interactions with products, and even change pricing dynamically. But how well do you know the technology behind this retail innovation? Test your knowledge about the scientific advancements powering modern retail shelving systems.

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Convolutional Neural Networks (CNNs) with object detection algorithms
Simple motion detection sensors with binary classification
Quantum computing image processors
Infrared thermal mapping for human hand detection only