Method for predicting number of target objects and related equipment
A technology of target objects and quantities, applied in the computer field, can solve problems such as low accuracy and inability to meet the needs of bank outlets
Active Publication Date: 2020-09-29
BANK OF CHINA
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[0003] However, in the case of a large number of outlets, the influence of obstructions, and poor lighting conditions, the accuracy of the existing camera capture method for identifying the number of customers will be relatively low, which cannot meet the needs of bank outlets
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[0115] Optionally, see Figure 5 , in a specific embodiment of the present application, an implementation manner of performing step S302 includes:
[0116] S501. The intelligent robot controlling the target network is started, and the position of each target object in the target network is determined through the built-in thermal sensor of the intelligent robot, and the person of each target object is photographed by the intelligent robot to the position where each target object is located. face image.
[0117] That is to say, the second identification device may be an intelligent robot of the target network, and the process for the intelligent robot to identify the attribute information corresponding to the target object is to determine the position of each target object in the target network through the built-in thermal sensor of the intelligent robot, and then respectively A face image of each target object is photographed at a position where each target object is located. ...
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The invention discloses a method for predicting the number of target objects and related equipment, and the method comprises the steps: respectively recognizing the attribute information correspondingto a plurality of target objects in a target region through a plurality of first recognition devices; inputting the attribute information corresponding to each target object recognized by each firstrecognition device into a target object number recognition model, and performing predicting to obtain the number of the target objects in the target area. The target object number identification modelis obtained by training the neural network model according to the historical actual target object number of the target area and the attribute information corresponding to the target objects in the target area identified by the plurality of corresponding first identification devices, compared with the prior art, the method considers the recognition errors of the first recognition devices and considers the difference between the attribute information of the target objects recognized by the multiple first recognition devices, and the more accurate number of the target objects in the target areais obtained through prediction.
Description
technical field [0001] The present application relates to the field of computer technology, and in particular to a method and related equipment for predicting the number of target objects. Background technique [0002] In the prior art, many bank outlets often need to count the number of customers in the outlets in order to realize the purposes of analyzing the flow of people at the outlets and identifying customer information at the outlets. At present, the number of customers in the outlet is mainly counted by capturing the number of customers in the outlet through camera capture. [0003] However, in the case of a large number of outlets, the influence of obstructions, and poor lighting conditions, the accuracy of the existing camera capture method for identifying the number of customers will be relatively low, which cannot meet the needs of bank outlets. Contents of the invention [0004] Based on the deficiencies in the prior art above, the present application provid...
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IPC IPC(8): G06K9/00G06N3/08G06Q10/04
CPCG06Q10/04G06N3/08G06N3/086G06V20/00G06V2201/07Y02P90/02
Inventor 黄文强季蕴青胡路苹胡玮黄雅楠胡传杰浮晨琪李蚌蚌申亚坤徐晨敏
Owner BANK OF CHINA