Smart community scene data analysis system

Abstract

The present invention relates to a smart community scene data analysis system, comprising: a scene sensing device located in a residential area to perform photoelectric sensing operations throughout the residential area, for acquiring and outputting corresponding on-site images; and a type identification mechanism for intelligently identifying, using an intelligent identification model, the probability values ​​of the on-site images having been processed by various image processing techniques based on the visual data of the on-site images. Through the present invention, basic content can be targetedly selected for intelligent analysis of the probability values ​​of image processing. The intelligent identification model is used to intelligently analyze, based on the selected basic content, the on-site images output by the scene sensing device as the probability values ​​corresponding to the various image processing techniques performed by the image processing components within the scene sensing device, thereby providing key information for a receiving end of the on-site images to determine the type of image processing the on-site images have undergone.

Description

Technical Field

[0001] The present invention relates to the field of smart communities, and in particular to a smart community scene data analysis system. Background Art

[0002] A residential district, also known as a "residential area," is a complete residential area demarcated by urban roads and natural tributaries (such as rivers) and not traversed by major traffic arteries. A residential district generally includes a comprehensive suite of grassroots professional service facilities and management structures to meet residents' daily needs. A residential district refers to a relatively enclosed, independent residential group or area that has been completed and put into use, built according to a unified urban plan, achieved a certain scale, and possesses complete infrastructure. Residential districts are a model for modern urban living, consistent with current production and living standards. However, they are not the only ideal model. In the future, with the further development of productivity and improvements in living standards, they may be replaced by new types of living accommodation.

[0003] When scene sensing equipment located in a residential area is used to perform photoelectric sensing operations throughout the residential area to obtain corresponding on-site images, it is difficult for the residential area's monitoring end to determine the type of image processing that the on-site images have undergone. As a result, the monitoring end will treat the obtained on-site images as real scene images for various processing and responses, which can easily lead to misjudgments in processing and response. Summary of the Invention

[0004] In order to solve technical problems in related fields, the present invention provides a smart community scene data analysis system, which selectively selects multiple reliable and comprehensive basic contents for the intelligent analysis of probability values ​​of image processing, and adopts an intelligent identification model to intelligently analyze the on-site acquired pictures output by the scene sensing device based on the basic contents, and obtains the probability values ​​corresponding to the various image processing performed by the image processing components inside the scene sensing device, thereby providing key information for the receiving end of the on-site acquired pictures to judge the type of image processing that the on-site acquired pictures have undergone, thereby avoiding misjudgment in the processing and response to community scenes.

[0005] According to the present invention, a smart community scenario data analysis system is provided, the system comprising:

[0006] Scene sensing equipment is located in the residential area to perform photoelectric sensing operations in the entire area of ​​the residential area, and is used to obtain and output corresponding on-site images;

[0007] Directed establishment of equipment for performing multiple learning on the deep convolutional inverse graphics network to obtain the deep convolutional inverse graphics network after completing the multiple learning and outputting it as an intelligent identification model;

[0008] An information storage mechanism is used to pre-store various processing type code values ​​corresponding to various image processing;

[0009] a content extraction mechanism, configured to extract a plurality of residential community scene contents of the residential community scene, wherein the plurality of residential community scene contents of the residential community scene include the residential community plane area, the proportion of the residential community green plant coverage area, and the number of internal roads of the residential community;

[0010] a type identification mechanism, connected to the scene sensing device, the orientation establishing device, the information storage mechanism, and the content extraction mechanism, respectively, for inputting the grayscale value and depth of field value of each pixel of the on-site image, the grayscale value of each pixel of the RAW image obtained by historical shooting of the scene sensing device, multiple residential community scene contents of the residential community scene, and the respective processing type code values ​​into the intelligent identification model in parallel, so as to obtain the probability values ​​output by the intelligent identification model that the on-site image has been processed by various image processing methods;

[0011] Among them, the grayscale values ​​and depth of field values ​​of each pixel point of the on-site image, the grayscale values ​​of each pixel point of the RAW image obtained by the historical shooting of the scene sensing device, multiple residential community scene contents of the residential community scene and the coding values ​​of each processing type are input into the intelligent identification model in parallel to obtain the probability values ​​of the on-site image obtained by the output of the intelligent identification model after being processed by various image processing, including: the RAW image obtained by the historical shooting of the scene sensing device is the Bayer image output by the photoelectric sensor of the scene sensing device.

[0012] It can be seen that the present invention has at least the following three important inventive concepts:

[0013] Inventive Concept A: An intelligent identification model is used to intelligently analyze the probability values ​​corresponding to various image processing operations performed by the scene sensing device's internal image processing components on the scene sensing device, thereby providing key information for the receiving end of the scene image to determine the type of image processing the scene image has undergone;

[0014] Inventive Concept B: Targeted selection of multiple reliable and comprehensive basic contents for intelligent analysis of probability values ​​of image processing, including grayscale values ​​and depth of field values ​​of each pixel of images acquired on-site, grayscale values ​​of each pixel of RAW images acquired from historical shooting by scene sensing equipment, multiple residential community scene contents, and various processing type code values ​​of residential community scenes;

[0015] Inventive concept C: Specifically, the multiple residential community scene contents of the residential community scene include the residential community plane area, the proportion of the residential community green plant coverage area and the number of roads inside the residential community, thereby ensuring the stability and effectiveness of the intelligent analysis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The embodiments of the present invention will be described below with reference to the accompanying drawings, in which:

[0017] Figure 1 Schematic diagram of the internal structure of the smart community scene data analysis system according to the first embodiment of the present invention.

[0018] Figure 2 Schematic diagram of the internal structure of a smart community scenario data analysis system according to the second embodiment of the present invention.

[0019] Figure 3 Schematic diagram of the internal structure of a smart community scenario data analysis system according to the third embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following is a detailed description of an embodiment of the smart community scene data analysis system of the present invention with reference to the accompanying drawings.

[0021] Figure 1 This is a schematic diagram of the internal structure of a smart community scenario data analysis system according to the first embodiment of the present invention. The system includes:

[0022] Scene sensing equipment is located in the residential area to perform photoelectric sensing operations in the entire area of ​​the residential area, and is used to obtain and output corresponding on-site images;

[0023] Directed establishment of equipment for performing multiple learning on the deep convolutional inverse graphics network to obtain the deep convolutional inverse graphics network after completing the multiple learning and outputting it as an intelligent identification model;

[0024] Specifically, a device is established for performing multiple learning on a deep convolutional inverse graphics network to obtain a deep convolutional inverse graphics network after completing the multiple learning and outputting the network as an intelligent identification model, including: the number of times the deep convolutional inverse graphics network completes the learning is proportional to the number of pixels of the photoelectric sensing component of the scene sensing device;

[0025] An information storage mechanism is used to pre-store various processing type code values ​​corresponding to various image processing;

[0026] a content extraction mechanism, configured to extract a plurality of residential community scene contents of the residential community scene, wherein the plurality of residential community scene contents of the residential community scene include the residential community plane area, the proportion of the residential community green plant coverage area, and the number of internal roads of the residential community;

[0027] Specifically, the content extraction mechanism is used to extract multiple residential community scene contents of the residential community scene, wherein the multiple residential community scene contents of the residential community scene include the residential community plane area, the proportion of the residential community green plant coverage area, and the number of roads inside the residential community. The content extraction mechanism includes multiple parameter collection components for respectively collecting the residential community plane area, the proportion of the residential community green plant coverage area, and the number of roads inside the residential community.

[0028] a type identification mechanism, connected to the scene sensing device, the orientation establishing device, the information storage mechanism, and the content extraction mechanism, respectively, for inputting the grayscale value and depth of field value of each pixel of the on-site image, the grayscale value of each pixel of the RAW image obtained by historical shooting of the scene sensing device, multiple residential community scene contents of the residential community scene, and the respective processing type code values ​​into the intelligent identification model in parallel, so as to obtain the probability values ​​output by the intelligent identification model that the on-site image has been processed by various image processing methods;

[0029] The grayscale value and depth of field value of each pixel point of the on-site image, the grayscale value of each pixel point of the RAW image obtained by the historical shooting of the scene sensing device, multiple residential community scene contents and each processing type code value are input into the intelligent identification model in parallel to obtain the probability value of each of the on-site image obtained by the intelligent identification model being processed by various image processing methods. The RAW image obtained by the historical shooting of the scene sensing device is a Bayer image output by the photoelectric sensor of the scene sensing device;

[0030] The information storage mechanism is used to pre-store various processing type code values ​​corresponding to various image processing, including: the various image processing is one of image sharpening processing, artifact elimination processing, contrast enhancement processing and image filtering processing.

[0031] Figure 2 Schematic diagram of the internal structure of a smart community scenario data analysis system according to the second embodiment of the present invention.

[0032] and Figure 1 different, Figure 2 The smart community scenario data analysis system in the [1] can also include the following components:

[0033] a voltage supply interface, connected to the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism, respectively, for providing the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism with their respective required operating voltages;

[0034] wherein the voltage supply interface is connected to the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism, respectively, and is used to provide the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism with the required operating voltages, respectively, including: the required operating voltages of the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism are 3.3 volts and 5 volts, respectively;

[0035] The voltage supply interface is connected to the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism, respectively, for providing the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism with their respective required operating voltages. The voltage supply interface also includes: the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism are arranged around the voltage supply interface and are isolated from the voltage supply interface by different electromagnetic shielding mechanisms.

[0036] The type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism are arranged around the voltage supply interface and are respectively isolated from the voltage supply interface by different electromagnetic shielding mechanisms, including: the different electromagnetic shielding mechanisms respectively used by the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism are at equal distances from the voltage supply interface;

[0037] And wherein, the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism are arranged around the voltage supply interface and are isolated from the voltage supply interface by different electromagnetic shielding mechanisms respectively, and also includes: the internal structures of the different electromagnetic shielding mechanisms respectively used by the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism are the same.

[0038] Figure 3 Schematic diagram of the internal structure of a smart community scenario data analysis system according to the third embodiment of the present invention.

[0039] and Figure 1 different, Figure 3 The smart community scenario data analysis system in the [1] can also include the following components:

[0040] a radiation sensing device, connected to the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism, respectively, for providing the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism with respective real-time numerical sensing operations of electromagnetic radiation amounts;

[0041] The radiation sensing device is connected to the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism, respectively, and is used to provide the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism with respective numerical sensing operations of real-time electromagnetic radiation quantities, including: the radiation sensing device includes a plurality of radiation sensing units, and is used to provide the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism with respective numerical sensing operations of real-time electromagnetic radiation quantities;

[0042] The radiation sensing device includes a plurality of radiation sensing units, which are used to respectively provide the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism with respective numerical sensing operations of real-time electromagnetic radiation amounts, including: the plurality of radiation sensing units have the same internal structure;

[0043] And wherein, the radiation sensing device includes multiple radiation sensing units, which are used to provide respective numerical sensing operations of real-time electromagnetic radiation quantities for the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism, respectively, including: the multiple radiation sensing units are respectively equipped with respective radiation alarm components.

[0044] In addition, in the smart community scene data analysis system, the information storage mechanism is used to pre-store the processing type code values ​​corresponding to various image processings, and further includes: the processing type code values ​​corresponding to various image processings are all in the form of octal values, and different types of image processing have different corresponding processing type code values;

[0045] And wherein, the information storage mechanism, which is used to pre-store the respective processing type code values ​​corresponding to the respective image processing, also includes: using an MMC storage chip to implement the information storage mechanism, which is used to pre-store the respective processing type code values ​​corresponding to the respective image processing.

[0046] The smart community scene data analysis system of the present invention solves the technical problem in the prior art that it is difficult to effectively identify the type of image processing performed on the on-site images of residential communities. By selectively selecting basic content for the intelligent analysis of the probability values ​​of image processing, an intelligent identification model is used to intelligently analyze the on-site images output by the scene sensing device based on the selected basic content to obtain the probability values ​​corresponding to the various image processing performed by the image processing components inside the scene sensing device. This provides key information for the receiving end of the on-site images to judge the type of image processing that the on-site images have undergone, thereby improving the accuracy of the monitoring end's cognition of the on-site environment of the residential community.

[0047] The above description of the present invention has been provided for the purpose of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed. The breadth and scope of the present invention should not be limited by any of the above exemplary embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art. These modifications and variations include any relevant combination of the disclosed features. The embodiments have been selected and described in order to best explain the principles of the invention and its practical application, thereby enabling others skilled in the art to understand the various embodiments of the invention and various modifications suitable for the intended specific use. It is intended that the scope of the present invention be defined by the appended claims and their equivalents.

Claims

1. A smart community scene data analysis system, characterized by: The system comprises: Scene sensing equipment is located in the residential area to perform photoelectric sensing operations in the entire area of ​​the residential area, and is used to obtain and output corresponding on-site images; Directed establishment of equipment for performing multiple learning on the deep convolutional inverse graphics network to obtain the deep convolutional inverse graphics network after completing the multiple learning and outputting it as an intelligent identification model; An information storage mechanism is used to pre-store various processing type code values ​​corresponding to various image processing; a content extraction mechanism, configured to extract a plurality of residential community scene contents of the residential community scene, wherein the plurality of residential community scene contents of the residential community scene include the residential community plane area, the proportion of the residential community green plant coverage area, and the number of internal roads of the residential community; a type identification mechanism, connected to the scene sensing device, the orientation establishing device, the information storage mechanism, and the content extraction mechanism, respectively, for inputting the grayscale value and depth of field value of each pixel of the on-site image, the grayscale value of each pixel of the RAW image obtained by historical shooting of the scene sensing device, multiple residential community scene contents of the residential community scene, and each processing type code value into the intelligent identification model in parallel, so as to obtain each probability value output by the intelligent identification model, each probability value being used to respectively represent the probability value of the on-site image being processed by various image processing processes; Among them, the grayscale values ​​and depth of field values ​​of each pixel point of the picture obtained on site, the grayscale values ​​of each pixel point of the RAW image obtained by the historical shooting of the scene sensing device, multiple residential community scene contents of the residential community scene and each processing type code value are input into the intelligent identification model in parallel to obtain each probability value output by the intelligent identification model, and each probability value is used to respectively represent the probability value of the picture obtained on site being processed by various image processing, including: the RAW image obtained by the historical shooting of the scene sensing device is the Bayer image output by the photoelectric sensor of the scene sensing device.

2. The smart community scenario data analysis system according to claim 1, characterized in that: The information storage mechanism is used to pre-store various processing type code values ​​corresponding to various image processing, including: various image processing including image sharpening processing, artifact elimination processing, contrast enhancement processing and image filtering processing.

3. The smart community scenario data analysis system according to claim 2, characterized in that: The system further comprises: a voltage supply interface, connected to the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism, respectively, for providing the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism with their respective required operating voltages; Among them, the voltage supply interface is respectively connected to the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism, and is used to provide the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism with the required working voltages respectively, including: the working voltages required by the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism respectively include 3.3 volts and 5 volts.

4. The smart community scenario data analysis system according to claim 3, characterized in that: A voltage supply interface is respectively connected to the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism, and is used to provide the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism with the required working voltages respectively. It also includes: the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism are arranged around the voltage supply interface and are respectively isolated from the voltage supply interface by different electromagnetic shielding mechanisms.

5. The smart community scenario data analysis system according to claim 4, characterized in that: The type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism are arranged around the voltage supply interface and are isolated from the voltage supply interface by using different electromagnetic shielding mechanisms respectively, including: the distances between the different electromagnetic shielding mechanisms respectively used by the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism and the voltage supply interface are equal.

6. The smart community scenario data analysis system according to claim 2, characterized in that: The system further comprises: a radiation sensing device, connected to the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism, respectively, for providing the type identification mechanism, the scene sensing device, the orientation establishment device, and the content extraction mechanism with respective real-time numerical sensing operations of electromagnetic radiation amounts; Among them, the radiation sensing device is respectively connected to the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism, and is used to provide the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism with respective numerical sensing operations of real-time electromagnetic radiation quantities, including: the radiation sensing device includes multiple radiation sensing units, which are used to provide the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism with respective numerical sensing operations of real-time electromagnetic radiation quantities.

7. The smart community scenario data analysis system according to claim 6, characterized in that: The radiation sensing device includes multiple radiation sensing units, which are used to provide the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism with respective real-time numerical sensing operations of electromagnetic radiation quantities, including: the internal structures of the multiple radiation sensing units are the same.

8. The smart community scenario data analysis system according to claim 6, characterized in that: The radiation sensing device includes multiple radiation sensing units, which are used to provide the type identification mechanism, the scene sensing device, the orientation establishment device and the content extraction mechanism with respective real-time numerical sensing operations of electromagnetic radiation quantities, including: the multiple radiation sensing units are respectively equipped with respective radiation alarm components.

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