AI models for phone scam detection

It analyzes the facial expression and pulse of the person talking on the phone, using camera footage and information from the sensors. It then uses the analysis to estimate a person's psychological condition, such as the lowered ability to judge things; this helps a person to avoid being taken in by phone scams by visualizing risks. We are now conducting a field trial of phone scam avoidance in cooperation with the City of Amagasaki, Hyogo Prefecture.

Context Marketing

By identifying the behaviors of the shoppers using in-store camera footage, the system recognizes their actions in relation to the other people around them, and with merchandise, like picking a product up from the shelf and putting it back.
Based on these analyses, it helps to realize a new type of marketing based on contexts, such as how a customer comes to buy a certain product, willingness to buy a product that was not actually purchased, and who in the group needed to buy a certain product, which had been difficult to obtain in a bricks-and-mortar store.

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