Grg Banking Equipment Co., Ltd.

Xiaoping Han

Jinjun He

Zheng Xiao

Jiachun Zheng

Panfeng Luo

Guocheng Shi

Yunlong Wang

Disclosed is a full-width seal device, the outer part of which comprises a paper inlet, a paper outlet and a housing, and the inner part of which comprises a component moving along the x-axis, a component moving along the y-axis and a seal mechanism, wherein the component moving along the x-axis is used for detecting whether paper has entered the paper inlet and having detected that paper has entered the paper inlet, driving the paper to move along the x-axis; having detected that the paper has moved to a pre-set position on the x-axis, the component moving along the y-axis is used for driving the seal mechanism to move along the y-axis; and after the paper has moved to a pre-set position on the y-axis, the seal mechanism is used for executing a seal operation.

Full-width seal device

Provided are an energy-saving control method and device for a self-service device. The method includes: acquiring to-be-learned sample information from historical usage data of users of the self-service device, where the sample information indicates the number of users which use the self-service device in each of different sub-periods of a period of time; learning the to-be-learned sample information by using a preset Bayesian prior probability model, to obtain a learning result; updating the Bayesian prior probability model based on the learning result; predicting the number of users in each of sub-periods of a preset period of time by using the updated Bayesian prior probability model, to obtain the predicted number of users at the self-service device; and modifying a sleep interval of the self-service device in each of the sub-periods based on the predicted number of users.

Self-service equipment energy saving control method and device

Provided are a method and device for authenticating an identity based on fusion of multiple biological characteristics. The method includes: collecting at least two types of biological characteristic identity information of a to-be-identified user; performing characteristic extraction on each type of the collected biological characteristic identify information, to obtain characteristic information corresponding to the type; establishing characteristic matrixes based on the characteristic information; performing normalization processing on each of the characteristic matrixes; performing dynamic weighting fusion on all of the normalized characteristic matrixes, to obtain a fused characteristic matrix; matching the fused characteristic matrix with a preset standard matrix, to obtain a matching score; and obtaining an identity identification result of the to-be-identified user based on a Bayesian decision model and the matching score.

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Guangdong, China

Xiaoping Han