Confidential camera shooting method for intelligent fuzzy processing

Abstract

The invention discloses an intelligent fuzzy processing confidential camera shooting method, which comprises the following steps that S1, a main control chip reads a frame of image of a camera and stores the frame of image in a memory; s2, performing video fuzzification processing according to a set area to be subjected to fuzzification processing; s3, sending out the processed image data through a network; s4, the receiving end receives the video stream data and stores the video stream data in a memory; s5, the system displays a fuzzy video by default; s6, identity authentication is carried out, after the identity authentication is passed, the video is subjected to solution operation to recover the original clear video, and otherwise, the area fuzzy video continues to be displayed. Encryption can be carried out when the video is transmitted, special processing can be carried out on the sensitive area in the video, non-related personnel are prevented from seeing sensitive information from the video, and the method has a wide application prospect and is suitable for popularization and application. Popularization and application are facilitated.

Description

Technical Field

[0001] The invention relates to the field of electronic technology, and in particular to a confidentiality camera method using intelligent fuzzy processing. Background Art

[0002] With the continuous development of electronic technology, the use of terminals with camera functions has become more and more popular. In daily life, people can easily record videos of things in front of them as records. However, most cameras in the prior art cannot encrypt the video during transmission, nor can they make special treatments for sensitive areas in the video. Therefore, it is easy for non-related personnel to see sensitive information from the video. In order to prevent the leakage of sensitive areas in the video, very few cameras have taken measures to make special treatments for sensitive areas in the video, but they all directly code or black out the sensitive areas, which will cause the client to be unable to perform video recovery processing. Therefore, it is urgent to develop a confidential video recording method with intelligent fuzzy processing to solve the above technical problems.

[0003] In view of this, the present invention is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide a confidential video recording method with intelligent fuzzy processing, which can encrypt the video during transmission and perform special processing on sensitive areas in the video to prevent non-related personnel from seeing sensitive information from the video. The present invention has broad application prospects and is conducive to popularization and application.

[0005] In order to achieve the above object, the present invention provides a security camera method with intelligent fuzzy processing, comprising the following steps:

[0006] S1: The main control chip reads a frame of image from the camera and saves it to the memory;

[0007] S2: Perform video blurring according to the set blurring area;

[0008] S3: Send the processed image data through the network;

[0009] S4: The receiving end receives the video stream data and saves it into the memory;

[0010] S5: The system displays blurred video by default;

[0011] S6: Perform identity authentication. After the identity authentication is passed, the video decoding operation is restored to the original clear video, otherwise the regional blurred video continues to be displayed.

[0012] Preferably, in S2, the method for video blurring processing comprises the following steps:

[0013] SS1: Four areas are allocated in the memory, namely, video cache frame, video completion frame, video blur frame and video difference frame, for storing image data;

[0014] SS2: Divide the area to be blurred into a matrix with a size of 8*8=64 pixels.

[0015] SS3: In matrix 1, a, b...p, q are the original pixel matrices. The average value of the 8*8 matrix is ​​calculated, and then all elements in the matrix are assigned the average value. The elements in matrix 2 are assigned to the blurred frame of the video.

[0016] SS4: Subtract the pixels in matrix 1 from the pixels in matrix 2 to obtain a difference matrix of 8*8, and then assign the pixels in the difference matrix to the video difference frame;

[0017] SS5: The blurred video frames and the difference video frames are pushed alternately.

[0018] Preferably, in S6, the method of video decomposition operation is: when the video is pulled, if identity authentication is not performed, only the blurred frames of the video stream are taken, and the limited area is in a blurred state. If the identity authentication is passed, the original video is displayed.

[0019] Preferably, in the SS1, the video cache frame is used to save the image data transmitted from the camera in real time.

[0020] Preferably, in the SS1, the video completion frame is a complete frame of video image data, which is used for subsequent image processing.

[0021] Preferably, in the SS1, the video blur frame is used to store the image data after blurring.

[0022] Preferably, in the SS1, the video difference frame is used to store the difference data of the image blur processing area for image data restoration.

[0023] The invention provides a method for secure video recording with intelligent fuzzy processing, which has the following beneficial effects.

[0024] 1. The present invention transmits the video to the client by means of interpolation without increasing the video code stream, and the video can be restored after special processing.

[0025] 2. The present invention restores the blurred video to the original video through decomposition operation, which is convenient for quickly handling problems under special circumstances, and the original video can be obtained without going to the camera installation location.

[0026] 3. The present invention does not need to increase additional network bandwidth, and sends the original video frame and the blurred video frame at the same time. Except for the blurred processing area, the frame rate of the rest is the same as the original video. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 A flowchart of a secure video recording method using intelligent fuzzy processing provided by the present invention;

[0028] Figure 2 This is a schematic diagram of the four areas in the memory;

[0029] Figure 3 It is a schematic diagram of matrix 1;

[0030] Figure 4 This is a schematic diagram of matrix 2. DETAILED DESCRIPTION

[0031] The present invention is further described below in conjunction with specific embodiments and drawings to help understand the content of the present invention.

[0032] like Figure 1 FIG. 1 is a flow chart of a method for secure video recording using intelligent fuzzy processing provided by the present invention. The method for secure video recording using intelligent fuzzy processing comprises the following steps:

[0033] S1: The main control chip reads a frame of image from the camera and saves it to the memory;

[0034] S2: Perform video blurring according to the set blurring area;

[0035] In S2, the method for video blurring includes the following steps:

[0036] SS1: Figure 2 As shown in the figure, four areas are applied in the memory, namely, video cache frame, video completion frame, video blur frame and video difference frame, which are used to store image data; video cache frame is used to save image data transmitted from the camera in real time. Video completion frame is a complete frame of video image data, which is used for subsequent image processing. Video blur frame is used to save image data after blur processing. Video difference frame is used to save difference data of image blur processing area, which is used for image data restoration.

[0037] SS2: Divide the area to be blurred into a matrix with a size of 8*8=64 pixels.

[0038] SS3: Figure 3 and 4 As shown, a, b...p, q in matrix 1 are the original pixel matrices. The average value of the 8*8 matrix is ​​calculated, and then all elements in the matrix are assigned to the average value. The elements in matrix 2 are assigned to the blurred frame of the video.

[0039] SS4: Subtract the pixels in matrix 1 from the pixels in matrix 2 to obtain a difference matrix of 8*8, and then assign the pixels in the difference matrix to the video difference frame;

[0040] SS5: The blurred video frames and the difference video frames are pushed alternately.

[0041] S3: Send the processed image data through the network;

[0042] S4: The receiving end receives the video stream data and saves it into the memory;

[0043] S5: The system displays blurred video by default;

[0044] S6: Perform identity authentication. After the identity authentication is passed, the video decomposition operation is restored to the original clear video, otherwise the blurred video in the area continues to be displayed. In S6, the method of video decomposition operation is: when the video is pulled, if the identity authentication is not performed, only the blurred frames of the video stream are taken, and the limited area is in a blurred state. If the identity authentication is passed, the original video is displayed.

[0045] The present invention transmits the video to the client by inserting frames without increasing the video code stream, and the video can be restored after special processing. The present invention restores the blurred video to the original video by decomposition operation, which is convenient for quickly handling problems in special cases, and the original video can be obtained without going to the camera installation location. The present invention does not need to increase additional network bandwidth, and the original video frame and the blurred video frame are sent simultaneously. Except for the blurred processing area, the frame rate of the rest is the same as that of the original video.

[0046] The invention concept is described in detail using specific examples herein, and the description of the above embodiments is only used to help understand the core idea of ​​the invention. It should be pointed out that any obvious modification, equivalent substitution or other improvement made by a person of ordinary skill in the art without departing from the invention concept should be included in the protection scope of the present invention.

Claims

1. A secure video recording method using intelligent fuzzy processing, characterized in that: The steps include: S1: The main control chip reads a frame of image from the camera and saves it to the memory; S2: Perform video blurring according to the set blurring area; S3: Send the processed image data through the network; S4: The receiving end receives the video stream data and saves it into the memory; S5: The system displays blurred video by default; S6: Perform identity authentication. After the identity authentication is passed, the video decoding operation is restored to the original clear video, otherwise the regional blurred video continues to be displayed.

2. According to claim 1, a method for secure video recording with intelligent fuzzy processing, characterized in that: In S2, the method for video blurring includes the following steps: SS1: Four areas are allocated in the memory, namely, video cache frame, video completion frame, video blur frame and video difference frame, for storing image data; SS2: Divide the area to be blurred into a matrix with a size of 8*8=64 pixels. SS3: In matrix 1, a, b...p, q are the original pixel matrices. The average value of the 8*8 matrix is ​​calculated, and then all elements in the matrix are assigned the average value w. The elements in matrix 2 are assigned to the blurred frame of the video. SS4: Subtract the pixels in matrix 1 from the pixels in matrix 2 to obtain a difference matrix of 8*8, and then assign the pixels in the difference matrix to the video difference frame; SS5: The blurred video frames and the difference video frames are pushed alternately.

3. The method for secure video recording using intelligent fuzzy processing according to claim 2, characterized in that: In S6, the method of video decomposition operation is: when the video is pulled, if identity authentication is not performed, only the blurred frames of the video stream are taken, and the limited area is in a blurred state. If the identity authentication is passed, the original video is displayed.

4. The method for secure video recording using intelligent fuzzy processing according to claim 3, characterized in that: In the SS1, the video cache frame is used to store the image data transmitted by the camera in real time.

5. The method for secure video recording using intelligent fuzzy processing according to claim 4, characterized in that: In the SS1, the video completion frame is a complete frame of video image data, which is used for subsequent image processing.

6. The method for secure video recording using intelligent fuzzy processing according to claim 5, characterized in that: In the SS1, the video blur frame is used to store the image data after blurring.

7. The method for secure video recording using intelligent fuzzy processing according to claim 6, characterized in that: In the SS1, the video difference frame is used to store the difference data of the image blur processing area for image data restoration.

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