Portrait recognition alarm method and system based on data fusion technology
A technology of portrait recognition and data fusion, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as operator interference with normal operations and affect operation and maintenance efficiency, so as to reduce invalid alarms, improve work efficiency, and improve The effect of accuracy
Active Publication Date: 2020-01-14
武汉众智数字技术有限公司
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Problems solved by technology
The excessive occurrence of wrong or invalid alarms seriously interferes with the normal operation of operators, and a large number of invalid alarms also seriously affects the efficiency of operation and maintenance.
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[0056]The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0057] Such as figure 1 As shown, as the first embodiment of the present invention, a method of portrait recognition and warning based on data fusion technology is provided, and the method includes:
[0058] S1: Establish a BP neural network model and train the BP neural network model. For each training sample, modify the weight through back propagation to minimize the mean square error between the network prediction and the actual target value;
[0059] S2: ...
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The invention discloses a portrait recognition alarm method and system based on a data fusion technology, and the method comprises the steps: building a BP neural network model, training the BP neuralnetwork model, modifying the weight of each training sample through backward propagation, and enabling the mean square error between network prediction and an actual target value to be minimum; acquiring portrait data through front-end acquisition equipment; taking portrait data in a set target library as a comparison object, and performing similarity comparison calculation on the acquired portrait data through portrait comparison algorithms provided by a plurality of algorithm manufacturers to obtain a plurality of groups of original similarity data; taking the multiple groups of original similarity data as an input layer, and outputting final similarity data after the input layer passes through a trained BP neural network model; and sorting the obtained final similarity data, and pushing the data reaching or exceeding a set alarm threshold to an alarm platform to generate an alarm.
Description
technical field [0001] The invention relates to the field of public security alarm reception, in particular to a method and system for identifying and alarming people based on data fusion technology. Background technique [0002] With the continuous development of urban video surveillance projects and the expansion of network scale, the monitoring system collects a large number of portrait images and generates a large number of portrait alarms every day. The excessive occurrence of wrong or invalid alarms seriously interferes with the normal operation of operators, and a large number of invalid alarms also seriously affects the efficiency of operation and maintenance. Contents of the invention [0003] In order to solve the above technical problems, the present invention provides a method and system for portrait recognition and alarm based on data fusion technology, which adopts the method of automatically analyzing and synthesizing the results of portrait comparison algor...
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Login to View More IPC IPC(8): G06K9/00G06K9/62G06N3/06G06N3/08
CPCG06N3/084G06N3/061G06V40/161G06F18/22G06F18/214
Inventor 刘羽萌
Owner 武汉众智数字技术有限公司