Smart home door lock processing system

Abstract

The invention relates to a smart home door lock processing system which comprises a smart door lock structure, a wireless monitoring device, a continuous optimization device, a directional analysis mechanism and a dynamic conversion mechanism. The intelligent home door lock processing system is stable in operation and wide in application.

Description

Technical Field

[0001] The present invention relates to the field of smart homes, and more specifically, to a smart home door lock processing system. Background Art

[0002] There are various specific techniques for image processing, such as image transformation. Since the image array is large, direct processing in the spatial domain involves a lot of calculations. Therefore, various image transformation methods are often used, such as Fourier transform, Walsh transform, discrete cosine transform and other indirect processing techniques, to convert the processing in the spatial domain into the transform domain processing, which can not only reduce the amount of calculation, but also obtain more effective processing (such as Fourier transform can be used for digital filtering in the frequency domain). The wavelet transform commonly studied at present has good localization characteristics in both the time domain and the frequency domain, and it also has a wide range of effective applications in image processing.

[0003] For example, the disclosed embodiment with application publication number CN114584733A relates to an image acquisition device, an information processing method and a video doorbell system for a video doorbell, wherein the image acquisition device for a video doorbell comprises: an imaging lens; an image acquisition sensor, which is arranged on the image side of the imaging lens; and a field of view magnifier, which is arranged on the object side of the imaging lens and is used to expand the field of view area of ​​the imaging lens below the horizontal field of view. By arranging the field of view magnifier on the object side of the imaging lens, arranging the image acquisition sensor on the image side of the imaging lens, and arranging the field of view magnifier to expand the field of view area of ​​the imaging lens below the horizontal field of view, the field of view range of the imaging lens below the horizontal field of view can be increased, which is conducive to widening the vertical field of view, thereby facilitating the acquisition of light within a larger angle range below the horizontal field of view where the imaging lens of the video doorbell is located, and improving the blind spot problem in the front and lower part of the video doorbell.

[0004] In a home environment, the contents of each frame of entry picture corresponding to each moment in front of the smart door lock structure are different. If the same smoothing algorithm is used to perform the same smoothing processing on the contents of each frame of entry picture corresponding to all moments, the quality of each smoothed picture obtained is not the expected best quality. Therefore, a smoothing mechanism of an adaptively adjusted smoothing algorithm is needed to perform dynamic smoothing processing on the contents of each frame of entry picture corresponding to all moments, so as to simultaneously improve the smoothing effect of each positioning capture picture. Summary of the invention

[0005] In order to solve technical problems in related fields, the present invention provides a smart home door lock processing system, which can intelligently analyze the contrast of the smoothed image obtained after the current smoothing algorithm performs a smoothing operation on the gradient filtered image according to the type identification of the current smoothing algorithm, the color channel values ​​corresponding to each pixel point of the gradient filtered image, the maximum noise amplitude, the minimum noise amplitude of the gradient filtered image, and the number of pixels occupied by the background area, and select the smoothing algorithm corresponding to the maximum contrast value among the various contrasts corresponding to the various smoothing algorithms as the smoothing algorithm, thereby improving the intelligence level of image processing.

[0006] According to the present invention, a smart home door lock processing system is provided, the system comprising: The intelligent door lock structure includes a password lock body, a digital display panel, a microcontroller chip and an input detection unit, wherein the input detection unit is connected to the digital display panel and is used to wirelessly trigger the image data collection of the wireless monitoring device when it is detected that there is currently a password input on the digital display panel; A wireless monitoring device is arranged opposite to the door body where the smart door lock structure is located and is wirelessly connected to the smart door lock structure, and is used to obtain an unlocking environment image of the environment where the smart door lock structure is located when the image data collection is wirelessly triggered by the input detection unit; A continuous optimization device, comprising a dynamic processing device, a tilt correction device and a gradient filtering device, wherein the tilt correction device is connected to the dynamic processing device and the gradient filtering device respectively, and the dynamic processing device is also connected to the wireless monitoring device, and is used to perform white balance processing based on a dynamic threshold on the received unlocking environment picture to obtain and output a corresponding dynamic processing image, the tilt correction device is used to perform tilt correction processing on the received dynamic processing image to obtain and output a corresponding tilt corrected image, and the gradient filtering device is used to perform gradient sharpening filtering processing on the received tilt corrected image to obtain and output a corresponding gradient filtered image; a directional analysis mechanism connected to the continuous optimization device, for determining the values ​​of each color channel corresponding to each pixel of the gradient filtered image, analyzing the maximum noise amplitude, the minimum noise amplitude and the number of pixels occupied by the background area of ​​the gradient filtered image, and intelligently analyzing the contrast of the smoothed image obtained by performing a smoothing operation on the gradient filtered image using the current smoothing algorithm according to the type identification of the current smoothing algorithm, the values ​​of each color channel corresponding to each pixel of the gradient filtered image, the maximum noise amplitude, the minimum noise amplitude and the number of pixels occupied by the background area, and selecting the smoothing algorithm corresponding to the maximum contrast among the various contrasts corresponding to the various smoothing algorithms as the selected smoothing algorithm, wherein the intelligent analysis adopts a deep neural network model, and the number of hidden layers of the deep neural network model is inversely correlated with the number of pixels occupied by the background area; A dynamic conversion mechanism, connected to the directional analysis mechanism, for performing a corresponding smoothing operation on the gradient filtered image by using a selected smoothing algorithm to obtain an optimal smoothed image for wireless uploading; Among them, various smoothing algorithms include a non-scaling transformation fuzzy algorithm, a median fuzzy algorithm, a Gaussian fuzzy algorithm, and a bilateral smoothing fuzzy algorithm.

[0007] Therefore, the present invention has at least the following beneficial technical effects: First: determine the color channel values ​​corresponding to each pixel of the gradient filtered image, analyze the maximum noise amplitude, minimum noise amplitude and the number of pixels occupied by the background area of ​​the gradient filtered image, so as to provide key data for the intelligent analysis of the smoothing effect of each smoothing algorithm; Secondly: according to the type identification of the current smoothing algorithm, the values ​​of the color channels corresponding to the pixels of the gradient filtered image, the maximum noise amplitude of the gradient filtered image, the minimum noise amplitude and the number of pixels occupied by the background area, the contrast of the smoothed image obtained by performing a smoothing operation on the gradient filtered image using the current smoothing algorithm is intelligently analyzed, and the smoothing algorithm corresponding to the maximum contrast value among the various contrasts corresponding to the various smoothing algorithms is selected as the smoothing algorithm; Again: the intelligent analysis performed on the smoothing effect of each smoothing algorithm adopts a deep neural network model, and the number of hidden layers of the deep neural network model is inversely correlated with the number of pixels occupied by the background area.

[0008] It can be seen that the smart home door lock processing system of the present invention has stable operation and wide application. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Those skilled in the art may better understand the numerous advantages of the present invention by referring to the accompanying drawings, in which:

[0010] Figure 1 It is a schematic diagram of the internal structure of the smart home door lock processing system according to the first embodiment of the present invention.

[0011] Figure 2 Schematic diagram of the internal structure of a smart home door lock processing system according to the second embodiment of the present invention.

[0012] Figure 3 Schematic diagram of the internal structure of a smart home door lock processing system according to the third embodiment of the present invention. DETAILED DESCRIPTION

[0013] The implementation scheme of the smart home door lock processing system of the present invention will be described in detail below with reference to the accompanying drawings.

[0014] First embodiment

[0015] Figure 1 1 is a schematic diagram of the internal structure of a smart home door lock processing system according to a first embodiment of the present invention, the system comprising: The intelligent door lock structure includes a password lock body, a digital display panel, a microcontroller chip and an input detection unit, wherein the input detection unit is connected to the digital display panel and is used to wirelessly trigger the image data collection of the wireless monitoring device when it is detected that there is currently a password input on the digital display panel; A wireless monitoring device is arranged opposite to the door body where the smart door lock structure is located and is wirelessly connected to the smart door lock structure, and is used to obtain an unlocking environment image of the environment where the smart door lock structure is located when the image data collection is wirelessly triggered by the input detection unit; For example, the wireless monitoring device is arranged opposite to the door body where the smart door lock structure is located and is wirelessly connected to the smart door lock structure, and is used to obtain the unlocking environment picture of the environment where the smart door lock structure is located when the picture data collection is wirelessly triggered by the input detection unit, including: the wireless monitoring device is based on the time division duplex communication mode or the frequency division duplex communication mode; A continuous optimization device, comprising a dynamic processing device, a tilt correction device and a gradient filtering device, wherein the tilt correction device is connected to the dynamic processing device and the gradient filtering device respectively, and the dynamic processing device is also connected to the wireless monitoring device, and is used to perform white balance processing based on a dynamic threshold on the received unlocking environment picture to obtain and output a corresponding dynamic processing image, the tilt correction device is used to perform tilt correction processing on the received dynamic processing image to obtain and output a corresponding tilt corrected image, and the gradient filtering device is used to perform gradient sharpening filtering processing on the received tilt corrected image to obtain and output a corresponding gradient filtered image; a directional analysis mechanism connected to the continuous optimization device, for determining the values ​​of each color channel corresponding to each pixel of the gradient filtered image, analyzing the maximum noise amplitude, the minimum noise amplitude and the number of pixels occupied by the background area of ​​the gradient filtered image, and intelligently analyzing the contrast of the smoothed image obtained by performing a smoothing operation on the gradient filtered image using the current smoothing algorithm according to the type identification of the current smoothing algorithm, the values ​​of each color channel corresponding to each pixel of the gradient filtered image, the maximum noise amplitude, the minimum noise amplitude and the number of pixels occupied by the background area, and selecting the smoothing algorithm corresponding to the maximum contrast among the various contrasts corresponding to the various smoothing algorithms as the selected smoothing algorithm, wherein the intelligent analysis adopts a deep neural network model, and the number of hidden layers of the deep neural network model is inversely correlated with the number of pixels occupied by the background area; A dynamic conversion mechanism, connected to the directional analysis mechanism, for performing a corresponding smoothing operation on the gradient filtered image by using a selected smoothing algorithm to obtain an optimal smoothed image for wireless uploading; Among them, various smoothing algorithms include non-scaling transformation fuzzy algorithm, median fuzzy algorithm, Gaussian fuzzy algorithm and bilateral smoothing fuzzy algorithm; Among them, the smart door lock structure includes a password lock body, a digital display panel, a microcontroller chip and an input detection unit. The input detection unit is connected to the digital display panel and is used to wirelessly trigger the image data collection of the wireless monitoring device when it is detected that there is currently a password input on the digital display panel. The microcontroller chip is respectively connected to the password lock body, the digital display panel and the input detection unit, and is used to respectively realize the on-site configuration of the working parameters of the password lock body, the digital display panel and the input detection unit.

[0016] Second embodiment

[0017] Figure 2 Schematic diagram of the internal structure of a smart home door lock processing system according to the second embodiment of the present invention.

[0018] and Figure 1 different, Figure 2 The smart home door lock processing system in the system may also include the following components: A voltage supply interface, connected to the orientation analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device, respectively, for providing the orientation analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with their respective required working voltages; The voltage supply interface is respectively connected to the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device, and is used to provide the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with the required working voltages respectively, including: the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device respectively require working voltages of 3.3 volts and 5 volts; The voltage supply interface is connected to the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device respectively, and is used to provide the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with the required working voltages respectively, and further comprises: the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device are arranged around the voltage supply interface and are isolated from the voltage supply interface by different electromagnetic shielding mechanisms respectively; The directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device 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 from the different electromagnetic shielding mechanisms respectively used by the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device to the voltage supply interface are equal; Among them, the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device are arranged around the voltage supply interface and are isolated from the voltage supply interface by different electromagnetic shielding mechanisms respectively. It also includes: the internal structures of the different electromagnetic shielding mechanisms respectively used by the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device are the same.

[0019] Third embodiment

[0020] Figure 3 Schematic diagram of the internal structure of a smart home door lock processing system according to the third embodiment of the present invention.

[0021] and Figure 1 different, Figure 3 The smart home door lock processing system in the system may also include the following components: A radiation sensing device, connected to the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device, respectively, for providing the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with respective numerical sensing operations of real-time electromagnetic radiation quantities; Wherein, the radiation sensing device is respectively connected to the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device, and is used to provide the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with respective numerical sensing operations of real-time electromagnetic radiation quantities, including: the radiation sensing device includes a plurality of radiation sensing units, which are used to provide the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with respective numerical sensing operations of real-time electromagnetic radiation quantities; The radiation sensing device comprises a plurality of radiation sensing units, which are used to respectively provide the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with respective numerical sensing operations of real-time electromagnetic radiation quantities, and the plurality of radiation sensing units have the same internal structure; Among them, the radiation sensing device includes multiple radiation sensing units, which are used to provide numerical sensing operations of real-time electromagnetic radiation quantities for the directional analysis mechanism, the dynamic processing equipment, the tilt correction equipment and the gradient filtering equipment respectively, including: the multiple radiation sensing units are respectively equipped with their own radiation alarm components.

[0022] In addition, in the smart home door lock processing system, a wireless monitoring device is arranged opposite to the door body where the smart door lock structure is located and is wirelessly connected to the smart door lock structure, and is used to obtain the unlocking environment image of the environment where the smart door lock structure is located when the image data collection is wirelessly triggered by the input detection unit. The image includes: the input detection unit and the wireless monitoring device perform wireless data interaction through a Bluetooth communication link.

[0023] Many modifications and changes can be made to the techniques and data structures described and illustrated herein without departing from the spirit and scope of the claims. Therefore, it should be understood that the methods and systems described herein are exemplary only and are not intended to limit the claims.

Claims

1. A smart home door lock processing system, characterized in that: The system comprises: The intelligent door lock structure includes a password lock body, a digital display panel, a microcontroller chip and an input detection unit, wherein the input detection unit is connected to the digital display panel and is used to wirelessly trigger the image data collection of the wireless monitoring device when it is detected that there is currently a password input on the digital display panel; A wireless monitoring device is arranged opposite to the door body where the smart door lock structure is located and is wirelessly connected to the smart door lock structure, and is used to obtain an unlocking environment image of the environment where the smart door lock structure is located when the image data collection is wirelessly triggered by the input detection unit; A continuous optimization device, comprising a dynamic processing device, a tilt correction device and a gradient filtering device, wherein the tilt correction device is connected to the dynamic processing device and the gradient filtering device respectively, and the dynamic processing device is also connected to the wireless monitoring device, and is used to perform white balance processing based on a dynamic threshold on the received unlocking environment picture to obtain and output a corresponding dynamic processing image, the tilt correction device is used to perform tilt correction processing on the received dynamic processing image to obtain and output a corresponding tilt corrected image, and the gradient filtering device is used to perform gradient sharpening filtering processing on the received tilt corrected image to obtain and output a corresponding gradient filtered image; a directional analysis mechanism connected to the continuous optimization device, for determining the values ​​of each color channel corresponding to each pixel of the gradient filtered image, analyzing the maximum noise amplitude, the minimum noise amplitude and the number of pixels occupied by the background area of ​​the gradient filtered image, and intelligently analyzing the contrast of the smoothed image obtained by performing a smoothing operation on the gradient filtered image using the current smoothing algorithm according to the type identification of the current smoothing algorithm, the values ​​of each color channel corresponding to each pixel of the gradient filtered image, the maximum noise amplitude, the minimum noise amplitude and the number of pixels occupied by the background area, and selecting the smoothing algorithm corresponding to the maximum contrast among the various contrasts corresponding to the various smoothing algorithms as the selected smoothing algorithm, wherein the intelligent analysis adopts a deep neural network model, and the number of hidden layers of the deep neural network model is inversely correlated with the number of pixels occupied by the background area; A dynamic conversion mechanism, connected to the directional analysis mechanism, for performing a corresponding smoothing operation on the gradient filtered image by using a selected smoothing algorithm to obtain an optimal smoothed image for wireless uploading; Among them, various smoothing algorithms include a non-scaling transformation fuzzy algorithm, a median fuzzy algorithm, a Gaussian fuzzy algorithm, and a bilateral smoothing fuzzy algorithm.

2. The smart home door lock processing system according to claim 1, characterized in that: The intelligent door lock structure includes a password lock body, a digital display panel, a microcontroller chip and an input detection unit. The input detection unit is connected to the digital display panel and is used to wirelessly trigger the image data collection of a wireless monitoring device when it is detected that a password is currently input on the digital display panel. The microcontroller chip is respectively connected to the password lock body, the digital display panel and the input detection unit, and is used to respectively realize on-site configuration of the working parameters of the password lock body, the digital display panel and the input detection unit.

3. The smart home door lock processing system as claimed in claim 2, characterized in that: The system further comprises: A voltage supply interface, connected to the orientation analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device, respectively, for providing the orientation analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with their respective required working voltages; Among them, the voltage supply interface is respectively connected to the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device, and is used to provide the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with the required working voltages respectively, including: the working voltages required by the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device respectively include 3.3 volts and 5 volts.

4. The smart home door lock processing system as claimed in claim 3, characterized in that: A voltage supply interface is respectively connected to the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device, and is used to provide the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with their respective required working voltages. The directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device are also configured around the voltage supply interface and are isolated from the voltage supply interface by different electromagnetic shielding mechanisms.

5. The smart home door lock processing system as claimed in claim 4, characterized in that: The directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device are arranged around the voltage supply interface and are isolated from the voltage supply interface by using different electromagnetic shielding mechanisms respectively, including: the different electromagnetic shielding mechanisms respectively used by the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device are at equal distances from the voltage supply interface.

6. The smart home door lock processing system as claimed in claim 4, characterized in that: The directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device are arranged around the voltage supply interface and are isolated from the voltage supply interface by using different electromagnetic shielding mechanisms respectively. It also includes: the internal structures of the different electromagnetic shielding mechanisms respectively used by the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device are the same.

7. The smart home door lock processing system as claimed in claim 2, characterized in that: The system further comprises: A radiation sensing device, connected to the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device, respectively, for providing the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with respective numerical sensing operations of real-time electromagnetic radiation quantities; Among them, the radiation sensing device is respectively connected to the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device, and is used to provide the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device 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 directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with respective numerical sensing operations of real-time electromagnetic radiation quantities.

8. The smart home door lock processing system as claimed in claim 7, characterized in that: The radiation sensing device includes a plurality of radiation sensing units, which are used to provide numerical sensing operations of real-time electromagnetic radiation quantities for the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device respectively, including: the internal structures of the plurality of radiation sensing units are the same.

9. The smart home door lock processing system according to claim 7, characterized in that: The radiation sensing device includes a plurality of radiation sensing units, which are used to provide the directional analysis mechanism, the dynamic processing device, the tilt correction device and the gradient filtering device with respective numerical sensing operations of real-time electromagnetic radiation quantities, including: the plurality of radiation sensing units are respectively equipped with respective radiation alarm components.

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