High product recognition rate with new AI technology! Accurately recognizes differences in cooking level and toppings, even with close arrangements.
"Ninascan(R)" is an AI image recognition system that enables speedy checkout even for staff with little experience, thanks to its integration with ninapos. The information read by this system is linked to ninapos, allowing for instant processing of multiple products. Customers will not be kept waiting, even during busy times. By arranging multiple items on a tray and taking 5 to 8 photos to train the AI, registration is completed. If registration is done at one store, scanning of registered products is possible at all stores in a multi-store setup. [Features] ■ High product recognition rate using new AI technology ■ Information read is linked to ninapos ■ Can be used immediately by connecting a dedicated vision kit to ninapos ■ Easy product registration and sharing *For more details, please download the PDF or feel free to contact us.
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basic information
【Basic Configuration】 <Ninapos Direct Connection API Version> ■ Vision Kit (Camera) x 1 unit ■ Ninapos Main Unit x 1 unit <Pending QR Code Printing Version> ■ Vision Kit (Camera) x 1 unit ■ Tablet PC (with dedicated software) x 1 unit ■ Receipt Printer x 1 unit *For more details, please download the PDF or feel free to contact us.
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Applications/Examples of results
【Implementation Results】 ■ Peter Pan (Chiba Prefecture) ■ Biscuit (Katsushika Ward, Tokyo) ■ Uo no Mori (Mitaka City, Tokyo) ■ Cake House Marufuji (Komatsu City, Ishikawa Prefecture) *For more details, please download the PDF or feel free to contact us.
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Company information
Annie Co., Ltd. develops and sells the customer management POS register system 'ninapos(R)' and plans and creates websites. We contribute to our customers' performance improvement by providing a system that is convenient and easy to use, along with after-sales support that feels attentive and comfortable.
![[Example] Defective Product Inspection](https://image.www.ipros.com/public/product/image/552/2000675941/IPROS13563524140912826268.png?w=280&h=280)
