PC Scales

SM-6000AI

PC-Based Weigh-Labeller — Powered Smart Recognition Scale

DIGI SM-6000 AI is a smart price-computing label printing scale integrated with AI technology for rapid product identification from fruits and vegetables to nuts and dried fruits handling both loose and bagged produce.

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The DIGI SM-6000 AI revolutionizes retail weighing operations by integrating enterprise-grade cognitive intelligence with Edge Computing. Featuring a built-in HD camera with supplementary LED illumination, the system automatically identifies unpackaged or bagged fresh items instantly, presenting the top matching PLUs on a vivid 15” capacitive touchscreen. Equipped with a 300 dpi high-speed Linerless label printer with auto-cutter and DIGI Management Console (DMC) integration, it significantly reduces shrinkage, speeds up transaction throughput, and optimizes the shopper self-checkout journey.

Smart Recognition

Leveraging AI technology, loose and bagged produce can be automatically recognised by the scale's built-in camera. Best matched candidates will then be called up on the screen to reduce mis-selection and shrinkage while offering shoppers a fast, one-touch self-serve experience.

Fast Operation

With the weighing process taking just mere seconds for each item, shoppers' average transaction time is significantly reduced while increasing throughput at the weighing stations. On top of boosting operational efficiency, shrinkage caused by human error and malicious intent can also be mitigated.

Wide Product Compatibility

Equipped with intelligence, each item can be accurately recognised by the system even with a different type of eco grocery bag, allowing customers to fully enjoy the benefits of this cutting-edge solution.

Infrastructure

AI solutions from DIGI Edge Computing are supported by a lean infrastructure that consists of three key elements: Scales, AI Gateway and AI Cloud. By combining these features, retailers can accelerate learning with a pre-trained library, making deployment easier. The scales would capture new products and upload them to the AI Gateway prior to training and storing them in the cloud. They act as a layer of security between the organization's network and DIGI AI cloud. The scale recognition can also be used standalone and does not require a server or cloud connection.