The invention relates to the technical field of self-service, and particularly discloses a non-inductive
payment method and device, and the method comprises the steps: collecting goods taking pictures of a plurality of clients through a binocular camera and an
infrared array which are disposed at the top and side surfaces of a cabinet body, extracting hand key points through posture
estimation, and distinguishing the identity through multi-target tracking; a gravity sensor under a shelf board detects the
weight change of each goods allocation, and combines with a visual track to construct the space-
time correlation of goods movement, so as to realize the
cross validation of goods taking behaviors; the
convolutional neural network performs abnormal behavior detection on the multi-
modal data and generates a risk
score; creating a virtual
shopping basket containing a space-
time mark for each customer, and judging commodity attribution by adopting a
decision tree algorithm; and executing distributed bill generation and multi-channel fee deduction according to the
risk level, and completing real-time settlement in a multi-
client concurrent scene. According to the method, the commodity affiliation accuracy and the
payment security are remarkably improved, and efficient and stable unmanned retail operation can be realized.