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Kyocera Announces Smart Checkout System

Kyocera Corporation has developed an Artificial Intelligence (AI)-based Smart checkout system.

KyoceraThis low-cost object-recognition checkout system offers significant productivity gains for retail commerce while reducing physical contact that can transmit viral infections.

Kyocera’s AI object-recognition technology instantly recognizes multiple purchase items with a single camera, even when items overlap in the checkout space.

Also, Kyocera’s AI architecture and extensive database of different product types reduce the machine learning time required when a store introduces a new product.

Self-checkout and automated AI payment systems are becoming more common at retail and convenience stores, especially in Japan, where automation represents a key solution to the growing labor shortage.

Additionally, these systems offer a potential means of preventing COVID-19 and other transmissible infections by reducing physical contact. However, conventional barcode-based systems are viewed as too time-consuming by many customers, and automated AI-based systems using multiple cameras require large-scale capital investment.

Kyocera’s Smart checkout system overcomes both obstacles: it can instantly recognize multiple overlapping products, making checkout more efficient while reducing physical contact; and, it can operate with a single camera, PC, and display, making deployment easier and more affordable.

Technology Highlights

Using proprietary technology developed by Kyocera’s Advanced Technology Research Institute (R&D division), Kyocera’s Smart checkout System offers three main features:

  1. Low cost, easy deployment

The entire system requires just one camera, PC, and display at each checkout counter, reducing capital investment and making this new technology affordable.

  1. High-precision object recognition

Kyocera’s proprietary AI learning technology can accurately recognize multiple products even if they overlap or are in customers’ hands.

  1. Recognition technology reduces learning time for newly offered products

Utilizing Kyocera’s proprietary AI architecture, the system can register and recognize more than 6,000 different types of products.

Adding products to the database requires the system only to learn the latest product, whereas other AI-based checkout systems available on the market would need to re-learn all products, leading to a reduction in learning time.

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Aishwarya Saxena

A book geek, with creative mind, an electronics degree, and zealous for writing.Creativity is the one thing in her opinion which drove her to enter into editing field. Allured towards south Indian cuisine and culture, love to discover new cultures and their customs. Relishes in discovering new music genres.

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