Method and device for determining commodity purchase and user terminal
A judgment method and product technology, applied in the field of image recognition, can solve problems such as troublesome, long settlement time, cumbersome shopping process, etc.
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Embodiment 1
[0058] Reference figure 2 , The first embodiment of the present invention provides a commodity purchase determination method, including:
[0059] Step S10000, receiving the shopping start instruction returned by the infrared signal triggered by the user's shopping gesture;
[0060] As mentioned above, the commodity purchase determination method provided by this embodiment can be applied to an open shopping environment, such as shopping malls, supermarkets and other places, that is, unattended, and users can take goods freely. In this embodiment, it may be an open vending machine. After the user starts shopping, the door of the vending machine is opened, and the user directly takes the goods inside, and the vending machine uses the image capture device to make the user's shopping Conduct identification and statistics on behaviors and purchased products to realize the final settlement of the user's purchased products.
[0061] Above, the user's shopping gesture is the action of the u...
Embodiment 2
[0075] Reference image 3 , The second embodiment of the present invention provides a commodity purchase determination method based on the above figure 2 In the first embodiment shown, the step S30000 "based on neural network learning, perform image recognition on the time-stamped continuous shooting image to determine the user's product shopping data" includes:
[0076] Step S31000, converting the continuously photographed images with time stamps into several consecutive frames of gesture images according to the time stamp sequence;
[0077] As described above, in this embodiment, the continuous shooting image may be dynamic image video data, and the continuous shooting image is converted into several frames of gesture images. The above several frames can be set according to specific image recognition capabilities, such as 10 frames.
[0078] The number of frames of the gesture image converted from the continuous shot image can be set according to the speed of the user's shopping ge...
Embodiment 3
[0090] Reference Figure 4 , The third embodiment of the present invention provides a commodity purchase determination method based on the above image 3 In the second embodiment shown, the step S32000 "based on neural network learning, perform image recognition on the gesture image in each frame to determine the user's product shopping data" includes:
[0091] Step S32100, based on neural network learning, perform gesture feature positioning on the gesture in each frame of the gesture image to obtain target gesture feature trajectory data;
[0092] As mentioned above, the gesture feature is the feature information of the user's shopping gesture contained in the image, including the image feature of the user's hand and the image feature of the product grabbed by the user's hand. The image feature of the hand can be a grabbing gesture feature. , Palm position characteristics, finger shape characteristics, etc., the image characteristics of the product can include information such as ...
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