Unlock instant, AI-driven research and patent intelligence for your innovation.
Method and device for morphological feature recognition
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
A morphological feature and next-step technology, applied in the field of morphological feature recognition, can solve the problems of large manpower, inability to monitor 24 hours a day, and limited human energy.
Active Publication Date: 2021-06-08
深圳市华腾物联科技有限公司
View PDF12 Cites 0 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
Problems solved by technology
[0002] At present, with the continuous development of society, the mobility of the population is increasing, which has caused many security problems. The current solution is to use cameras for monitoring, and security personnel are set up in the monitoring room to centrally check the reports reported by each camera. Video data is monitored and early-warned by carefully viewing the human eyes. However, this method consumes a lot of manpower and is inefficient, and human energy is limited, so it is impossible to monitor 24 hours a day. The requirements are relatively high, unable to cope with the growing monitoring needs
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
Embodiment 1
[0049] Embodiment 1 of the present invention discloses a method for morphological feature recognition, such as figure 1 shown, including the following steps:
[0050] Step 101, obtaining the preset morphological characteristics of the object to be monitored and the environmental data of the environment where it is located;
[0051]Specifically, the morphological features include: facial expression features and / or body posture features. Specifically, the panel expression features can include various expressions such as happy expressions, sad expressions, angry expressions, etc.; in addition, the emotional data can also be distinguished by whether it is normal, which can include: normal emotional data ( For example, it can include happy, quiet expressions), abnormal situation data (such as angry, sad expressions, etc.);
[0052] The environmental data can be distinguished based on the number of people, and can include: single-person environmental data, multi-person environment...
Embodiment 2
[0074] Embodiment 2 of the present invention also discloses a device for morphological feature recognition, such as image 3 shown, including:
[0075] An acquisition module 201, configured to acquire preset morphological characteristics of the object to be monitored and environmental data of the environment in which it is located;
[0076] A determination module 202, configured to determine the emotion data corresponding to the emotion of the object to be monitored based on the morphological characteristics;
[0077] An estimation module 203, configured to estimate the danger data of the degree of danger of the next behavior of the object to be monitored based on the emotional data and the environment data;
[0078] The prevention module 204 is configured to execute a preset prevention process corresponding to the danger data when the danger data meets a preset condition.
[0079] In a specific embodiment, the morphological features include: facial expression features and / o...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
PUM
Login to View More
Abstract
The embodiment of the present invention proposes a method and device for morphological feature identification, wherein the method includes: acquiring the preset morphological features of the object to be monitored and the environmental data of the environment where it is located; determining the morphological feature of the object to be monitored Emotional data corresponding to the emotion; danger data for estimating the degree of danger of the next behavior of the object to be monitored based on the emotional data and the environment data; when the dangerous data meets the preset conditions, execute the preset and The prevention process corresponding to the risk data. Through the identification of morphological features of the target to be monitored, data collection of environmental data and emotional data identification based on morphological features, the automatic identification of the target to be monitored is performed by estimating the degree of danger of the next behavior of the target to be monitored, which improves the efficiency of processing , reduces labor costs, and can realize 24-hour uninterrupted monitoring, avoiding blind spots in monitoring.
Description
technical field [0001] The invention relates to the field of morphological feature recognition, in particular to a method and equipment for morphological feature recognition. Background technique [0002] At present, with the continuous development of society, the mobility of the population is increasing, which has caused many security problems. The current solution is to use cameras for monitoring, and security personnel are set up in the monitoring room to centrally check the reports reported by each camera. Video data is monitored and early-warned by carefully viewing it with human eyes. However, this method consumes a lot of manpower and is inefficient. Human energy is limited, and it is impossible to monitor 24 hours a day. The requirements are relatively high, unable to cope with the current growing monitoring needs. [0003] Therefore, there is currently a need for a more efficient solution that can realize whole-process monitoring. Contents of the invention [00...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to View More 
Login to View More