Entrance guard monitoring image dynamic processing system

Abstract

The invention relates to an access control monitoring image dynamic processing system. The system comprises: an automatic shooting device for executing an automatic shooting operation to obtain an image in front of a channel when an on-site vibration amplitude exceeds a limit; and the numerical analysis equipment intelligently analyzes the image signal-to-noise ratio of the customized filtering image after finishing the set interpolation algorithm based on the image information of the customized filtering image and the numerical value before compiling the algorithm code of the set interpolation algorithm. Through the system, the signal-to-noise ratio of the image after setting the interpolation algorithm can be intelligently analyzed on the basis of the numerical value of the algorithm code of the set interpolation algorithm before compiling, the image information of the optimized customized filtering image corresponding to the shot picture in front of the access control channel and the resolution of the customized filtering image; and outputting the interpolation algorithm corresponding to the image signal-to-noise ratio with the maximum numerical value in the image signal-to-noise ratios corresponding to the various interpolation algorithms as an optimal interpolation algorithm, so as to obtain different optimal interpolation algorithms for different monitoring pictures.

Description

Technical Field

[0001] The present invention relates to the field of building management, and more specifically, to a door access monitoring image dynamic processing system. Background Art

[0002] Access control refers to the prohibition authority of a door, which is a precaution against the door. The "door" here, in a broad sense, includes various passages that can be passed, including doors for people to pass through, doors for vehicles to pass through, etc. Therefore, access control includes vehicle access control. In parking lot management applications, vehicle access control is an important means of vehicle management.

[0003] The entrance and exit security management system is a new modern security management system, which integrates microcomputer automatic identification technology and modern security management measures. It involves many new technologies such as electronics, machinery, optics, computer technology, communication technology, biotechnology, etc. It is an effective measure to solve the security management of the entrances and exits of important departments. It is suitable for various confidential departments, such as banks, hotels, computer rooms, armories, confidential rooms, offices, intelligent communities, factories, etc.

[0004] After searching, CN116757601A in the prior art discloses a smart warehouse, material management system, method and storage medium, wherein the smart warehouse includes: a warehouse body, a first server and a face recognition access control device; wherein the face recognition access control device includes a second server and a camera device, a scanning device and a lock connected to the second server respectively. The first server sends the first face image and the electronic document to the second server respectively; the second server performs an identity legitimacy check on the person to be entered according to the second face image and the first face image, obtains a first check result, and performs a content consistency check on the paper document according to the electronic document and the electronic image, obtains a second check result; the second server sends an unlocking message to the lock when the first check result is that the identity is legal and the second check result is that the content is completely consistent; the lock is unlocked according to the unlocking message.

[0005] Prior art CN116129560A discloses an intelligent building management system based on artificial intelligence, including an identity recognition unit, a behavior prediction unit and an intelligent management unit; the identity recognition unit performs owner recognition, visitor recognition and image acquisition based on biometric technology; the behavior prediction unit performs data registration, behavior prediction based on artificial intelligence algorithms and image tracking processing; the intelligent management unit performs access control, lighting control, parking space control and property personnel allocation based on the behavior prediction results.

[0006] However, the content of the pictures taken in front of the access control channel changes over time. If the same interpolation algorithm is used to perform the same interpolation processing on all pictures corresponding to all moments, the quality of the pictures obtained after interpolation is not always the expected best quality. Therefore, an interpolation mechanism that adaptively adjusts the interpolation algorithm is needed to perform dynamic interpolation processing on all pictures corresponding to all moments, so as to improve the interpolation effect of all pictures at the same time. The prior art obviously does not disclose relevant technical solutions. Summary of the invention

[0007] In order to solve the technical problems in the prior art, the present invention provides a door access monitoring image dynamic processing system, the system comprising: A vibration sensing device, disposed at the access control mechanism, for sensing the vibration amplitude near the access control mechanism and outputting it as a real-time vibration amplitude; An automatic shooting device, connected to the vibration sensing device and facing the front scene setting of the passage managed by the access control mechanism, is used to perform an automatic shooting operation to obtain an image in front of the passage when the received real-time amplitude is greater than or equal to a set amplitude limit; A morphological processing device, connected to the automatic shooting device, for sequentially performing a morphological processing of first dilation and then erosion on the received channel front image to obtain and output a corresponding morphologically processed image; A signal enhancement device, connected to the morphological processing device, for performing a histogram equalization process based on a distribution function on the received morphologically processed image to obtain and output a corresponding current enhanced image; A customized filtering device, connected to the signal enhancement device, for performing pulse interference removal processing on the received current enhanced image to obtain and output a corresponding customized filtered image; A numerical analysis device, connected to the customized filtering device, for receiving a customized filtered image, obtaining various image information of the customized filtered image, wherein the various image information of the customized filtered image includes a signal-to-noise ratio, a maximum noise amplitude, a number of noise types, and a contrast of the customized filtered image, inputting a pre-compiled value of an algorithm code of a set interpolation algorithm, various image information of the customized filtered image, and a resolution of the customized filtered image into an intelligent prediction body after completing multiple learnings, and executing the intelligent prediction body after completing multiple learnings to obtain an image signal-to-noise ratio of the customized filtered image output by the intelligent prediction body after completing the set interpolation algorithm, wherein the intelligent prediction body is based on a deep neural network; Among them, the numerical analysis device is also used to input the pre-compilation values ​​of the algorithm codes of various interpolation algorithms into the intelligent prediction body after completing multiple learning to obtain the signal-to-noise ratio of each image respectively, and output the interpolation algorithm corresponding to the image signal-to-noise ratio with the largest value as the optimal interpolation algorithm relative to the customized filtered image.

[0008] The door control monitoring image dynamic processing system of the present invention has wide application and intelligent design. Since the image signal-to-noise ratio after the set interpolation algorithm can be completed based on the pre-compilation value of the algorithm code of the set interpolation algorithm, the various image information of the optimized customized filter image corresponding to the shooting picture in front of the door control channel, and the resolution of the customized filter image, the interpolation algorithm corresponding to the image signal-to-noise ratio with the largest value among the various image signal-to-noise ratios corresponding to various interpolation algorithms is output as the preferred interpolation algorithm, thereby obtaining different optimized interpolation algorithms for different monitoring pictures. DETAILED DESCRIPTION

[0009] Example 1

[0010] Embodiment 1 is a door access monitoring image dynamic processing system according to the primary embodiment of the present invention, the system comprising: A vibration sensing device, disposed at the access control mechanism, for sensing the vibration amplitude near the access control mechanism and outputting it as a real-time vibration amplitude; By way of example, a vibration sensing device, provided at an access control mechanism, for sensing a vibration amplitude near the access control mechanism and outputting it as a real-time vibration amplitude, comprises: the vibration sensing device having a built-in vibration sensor for sensing a vibration amplitude near the access control mechanism; An automatic shooting device, connected to the vibration sensing device and facing the front scene setting of the passage managed by the access control mechanism, is used to perform an automatic shooting operation to obtain an image in front of the passage when the received real-time amplitude is greater than or equal to a set amplitude limit; A morphological processing device, connected to the automatic shooting device, for sequentially performing a morphological processing of first dilation and then erosion on the received channel front image to obtain and output a corresponding morphologically processed image; Specifically, the morphological processing device is connected to the automatic shooting device and is used to sequentially perform morphological processing of first dilation and then erosion on the received channel front image to obtain and output the corresponding morphological processing image, including: a CPLD device can be selected to implement the morphological processing device, which is connected to the automatic shooting device and is used to sequentially perform morphological processing of first dilation and then erosion on the received channel front image to obtain and output the corresponding morphological processing image; A signal enhancement device, connected to the morphological processing device, for performing a histogram equalization process based on a distribution function on the received morphologically processed image to obtain and output a corresponding current enhanced image; A customized filtering device, connected to the signal enhancement device, for performing pulse interference removal processing on the received current enhanced image to obtain and output a corresponding customized filtered image; A numerical analysis device, connected to the customized filtering device, for receiving a customized filtered image, obtaining various image information of the customized filtered image, wherein the various image information of the customized filtered image includes a signal-to-noise ratio, a maximum noise amplitude, a number of noise types, and a contrast of the customized filtered image, inputting a pre-compiled value of an algorithm code of a set interpolation algorithm, various image information of the customized filtered image, and a resolution of the customized filtered image into an intelligent prediction body after completing multiple learnings, and executing the intelligent prediction body after completing multiple learnings to obtain an image signal-to-noise ratio of the customized filtered image output by the intelligent prediction body after completing the set interpolation algorithm, wherein the intelligent prediction body is based on a deep neural network; The numerical analysis device is further used to input the pre-compiled numerical values ​​of the algorithm codes of various interpolation algorithms into the intelligent prediction body after completing multiple learnings to obtain the signal-to-noise ratios of each image respectively, and output the interpolation algorithm corresponding to the image signal-to-noise ratio with the largest numerical value as the best interpolation algorithm relative to the customized filtered image; Among them, various interpolation algorithms include nearest neighbor interpolation algorithm, bilinear interpolation algorithm, bicubic interpolation algorithm of 4×4 pixel neighborhood, Lanczos interpolation algorithm of 16×16 pixel neighborhood and cubic polynomial interpolation algorithm; The automatic shooting device is further used to suspend the automatic shooting operation when the received real-time target amplitude is smaller than the set amplitude limit.

[0011] Example 2

[0012] Embodiment 2 is a door access monitoring image dynamic processing system according to an embodiment of the present invention.

[0013] Different from Example 1, the door access monitoring image dynamic processing system in Example 2 may also include the following components: a data optimization component, connected to the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device, respectively, for performing data optimization on the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device, so as to obtain respective data optimized images corresponding to the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device; Wherein, respectively optimizing the output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device to obtain the data optimized images corresponding to the output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device include: the front-end data optimization respectively performs histogram equalization processing on the output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device; Among them, respectively optimizing the output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device to obtain the data optimized images corresponding to the output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device, further includes: the first mid-end data optimization respectively performs dynamic range expansion processing on the output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device; Wherein, respectively performing data optimization on the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device to obtain respective data optimized images corresponding to the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device also includes: the second mid-end data optimization respectively performs random noise filtering processing on the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device; And wherein, data optimization is performed on the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device to obtain respective data optimized images corresponding to the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device, and also includes: terminal data optimization performs geometric correction processing on the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device.

[0014] Example 3

[0015] Embodiment 3 is a door access monitoring image dynamic processing system according to an embodiment of the present invention.

[0016] Different from Example 1, the door access monitoring image dynamic processing system in Example 3 may also include the following components: Auxiliary lighting equipment, connected to the morphological processing equipment, the signal enhancement equipment, the customized filtering equipment and the numerical analysis equipment, respectively, for performing auxiliary lighting on the respective working environments of the morphological processing equipment, the signal enhancement equipment, the customized filtering equipment and the numerical analysis equipment; The auxiliary lighting device is connected to the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device respectively, and is used to perform auxiliary lighting on the respective working environments of the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device respectively, including: the auxiliary lighting device uses three different auxiliary lighting light sources, and is used to perform auxiliary lighting on the respective working environments of the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device respectively; And wherein, the auxiliary lighting device is respectively connected to the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device, and is used to respectively perform auxiliary lighting for the respective working environments of the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device, including: the illumination light used by the auxiliary lighting device has a set spectrum.

[0017] In addition, in the access control monitoring image dynamic processing system, the pre-compilation value of the algorithm code of the set interpolation algorithm, the various image information of the customized filtered image, and the resolution of the customized filtered image are input into the intelligent prediction body after multiple learning, and the intelligent prediction body after multiple learning is executed to obtain the customized filtered image output by it to complete the image signal-to-noise ratio after the set interpolation algorithm is completed, including: using a numerical simulation mode to realize the simulation and testing of the data processing process of inputting the pre-compilation value of the algorithm code of the set interpolation algorithm, the various image information of the customized filtered image, and the resolution of the customized filtered image into the intelligent prediction body after multiple learning, and executing the intelligent prediction body after multiple learning to obtain the customized filtered image output by it to complete the image signal-to-noise ratio of the set interpolation algorithm.

[0018] It can be seen that the present invention has at least the following beneficial technical advances: Firstly: performing targeted enhancement processing on the access control channel environment image to obtain a customized filtered image, and obtaining various image information of the customized filtered image, wherein the various image information of the customized filtered image includes the signal-to-noise ratio, maximum noise amplitude, number of noise types and contrast of the customized filtered image, thereby providing reliable multiple basic data for the optimization of the interpolation algorithm; Secondly: inputting the pre-compilation value of the algorithm code of the set interpolation algorithm, various image information of the customized filtered image and the resolution of the customized filtered image into the intelligent prediction body after completing multiple learning, and executing the intelligent prediction body after completing multiple learning to obtain the image signal-to-noise ratio of the customized filtered image output by it after completing the set interpolation algorithm; Again: the interpolation algorithm corresponding to the image signal-to-noise ratio with the largest value among the various image signal-to-noise ratios corresponding to various interpolation algorithms is output as the preferred interpolation algorithm, so as to obtain different optimized interpolation algorithms for different monitoring images, so as to dynamically improve the image quality of the monitoring images at different times of the access control location.

[0019] Those skilled in the art should understand that various improvements can be made to the device disclosed in the above invention without departing from the content of the invention. Therefore, the protection scope of the present invention should be determined by the content of the attached claims.

Claims

1. A door access monitoring image dynamic processing system, characterized in that: The system comprises: A vibration sensing device, disposed at the access control mechanism, for sensing the vibration amplitude near the access control mechanism and outputting it as a real-time vibration amplitude; An automatic shooting device, connected to the vibration sensing device and facing the front scene setting of the passage managed by the access control mechanism, is used to perform an automatic shooting operation to obtain an image in front of the passage when the received real-time amplitude is greater than or equal to a set amplitude limit; A morphological processing device, connected to the automatic shooting device, for sequentially performing a morphological processing of first dilation and then erosion on the received channel front image to obtain and output a corresponding morphologically processed image; A signal enhancement device, connected to the morphological processing device, for performing a histogram equalization process based on a distribution function on the received morphologically processed image to obtain and output a corresponding current enhanced image; A customized filtering device, connected to the signal enhancement device, for performing pulse interference removal processing on the received current enhanced image to obtain and output a corresponding customized filtered image; A numerical analysis device, connected to the customized filtering device, for receiving a customized filtered image, obtaining various image information of the customized filtered image, wherein the various image information of the customized filtered image includes a signal-to-noise ratio, a maximum noise amplitude, a number of noise types, and a contrast of the customized filtered image, inputting a pre-compiled value of an algorithm code of a set interpolation algorithm, various image information of the customized filtered image, and a resolution of the customized filtered image into an intelligent prediction body after completing multiple learnings, and executing the intelligent prediction body after completing multiple learnings to obtain an image signal-to-noise ratio of the customized filtered image output by the intelligent prediction body after completing the set interpolation algorithm, wherein the intelligent prediction body is based on a deep neural network; Among them, the numerical analysis device is also used to input the pre-compilation values ​​of the algorithm codes of various interpolation algorithms into the intelligent prediction body after completing multiple learning to obtain the signal-to-noise ratio of each image respectively, and output the interpolation algorithm corresponding to the image signal-to-noise ratio with the largest value as the optimal interpolation algorithm relative to the customized filtered image.

2. The door access monitoring image dynamic processing system according to claim 1, characterized in that: Various interpolation algorithms include nearest neighbor interpolation, bilinear interpolation, bicubic interpolation for 4×4 pixel neighborhoods, Lanczos interpolation for 16×16 pixel neighborhoods, and cubic polynomial interpolation; The automatic shooting device is further used to suspend the automatic shooting operation when the received real-time target amplitude is smaller than the set amplitude limit.

3. The door access monitoring image dynamic processing system according to claim 2, characterized in that: The system further comprises: a data optimization component, connected to the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device, respectively, for performing data optimization on the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device, so as to obtain respective data optimized images corresponding to the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device; Among them, data optimization is performed on the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device to obtain respective data optimized images corresponding to the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device, including: the front-end data optimization performs histogram equalization processing on the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device.

4. The door access monitoring image dynamic processing system as claimed in claim 3, characterized in that: Data optimization is performed on the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device to obtain respective data optimized images corresponding to the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device, which also includes: a first mid-end data optimization performs dynamic range expansion processing on the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device.

5. The door access monitoring image dynamic processing system as claimed in claim 4, characterized in that: The data of the output image signals of the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device are respectively optimized to obtain the data optimized images corresponding to the output image signals of the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device. The data optimization also includes: the second mid-end data optimization performs random noise filtering processing on the output image signals of the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device respectively.

6. The door access monitoring image dynamic processing system according to claim 5, characterized in that: The respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device are respectively optimized for data to obtain respective data optimized images corresponding to the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device. The terminal data optimization also includes: geometric correction processing of the respective output image signals of the morphological processing device, the signal enhancement device, the custom filtering device and the numerical analysis device.

7. The door access monitoring image dynamic processing system according to any one of claims 3 to 6, characterized in that: The system further comprises: Auxiliary lighting equipment is respectively connected to the morphological processing equipment, the signal enhancement equipment, the customized filtering equipment and the numerical analysis equipment, and is used to respectively perform auxiliary lighting on the respective working environments of the morphological processing equipment, the signal enhancement equipment, the customized filtering equipment and the numerical analysis equipment.

8. The door access monitoring image dynamic processing system according to claim 7, characterized in that: The auxiliary lighting device is respectively connected to the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device, and is used to respectively perform auxiliary lighting on the respective working environments of the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device, including: the auxiliary lighting device adopts three different auxiliary lighting light sources, and is used to respectively perform auxiliary lighting on the respective working environments of the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device.

9. The door access monitoring image dynamic processing system according to claim 7, characterized in that: The auxiliary lighting device is respectively connected to the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device, and is used to respectively perform auxiliary lighting on the respective working environments of the morphological processing device, the signal enhancement device, the customized filtering device and the numerical analysis device, including: the illumination light used by the auxiliary lighting device has a set spectrum.