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Description
Gimlet Labs, a member of the Intel® Solution Builders Retail Builders Community, developed a self-checkout AI model for high-volume retail IoT applications. The model, optimized for Intel® Architecture, targets devices like coolers and vending machines. The case study highlights the integration of artificial intelligence, machine learning, and computer vision to enhance item recognition, theft prevention, and payment facilitation. Performance tests demonstrated that Intel® CPUs, including the Intel® Core™ Ultra 7 Processor 155H, deliver real-time performance with low power consumption, making them cost-effective solutions for retail environments.