Video data patrol method and system

Abstract

The invention relates to the technical field of video data patrol, and discloses a video data patrol method and system. According to the system, the response time sent by each video data acquisition unit is collected, the connection state of each video data acquisition unit is analyzed in combination with the response time, and the connection state of each video data acquisition unit is output to judge the connection state of the camera. Then, whether the camera is shielded or not is judged through a video data shielding judgment and analysis module, and if the camera is not shielded, whether the camera deviates or not is judged through a video image deviation judgment and analysis module; and finally, a comprehensive early warning module provides early warning information for a worker based on data respectively sent by a video data analysis module, a video data occlusion judgment and analysis module and a video image offset judgment and analysis module. Therefore, the conditions of stains, network connection and camera deviation in the camera shooting process can be early warned in time, and workers are reminded to carry out maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of video data patrol, in particular to a video data patrol method and system. Background Art

[0002] Surveillance cameras are cameras used to monitor designated areas. Their main features are high sensitivity, strong light resistance, low distortion, small size, long life, shock resistance, and remote control and monitoring. Therefore, they are widely used. During daily use, dust easily accumulates on the surface of surveillance cameras, or they malfunction. In order to ensure that surveillance cameras can work normally, they often need to be cleaned and repaired. However, when existing surveillance cameras are maintained, staff usually take the initiative to check, or only check when they find that the camera is stained and affects the brightness or accuracy of the picture. As a result, faults are not discovered in time, which leads to untimely maintenance and failure to ensure all-weather monitoring, which may lead to the leakage of security incidents. Summary of the invention

[0003] In view of the deficiencies in the prior art, the present invention provides a video data patrol method and system, which has the advantages of timely fault detection and solves the above-mentioned technical problems.

[0004] To achieve the above object, the present invention provides the following technical solutions: a video data patrol system, comprising a plurality of camera video data acquisition units, a video data analysis module, a video data occlusion judgment analysis module, a video image offset judgment analysis module and a comprehensive warning module; The video data acquisition unit is used to collect The video data at each moment, and The video data acquisition unit captures a frame of the video at each acquisition interval as specific image data, and sends the image data to the video data analysis module; The video data analysis module is used to receive image data sent by several video data acquisition units, and at the same time collect the response time sent by each video data acquisition unit, and analyze the connection status of each video data acquisition unit in combination with the response time, and output the connection status of each video data acquisition unit. If any video data acquisition unit has an abnormal connection status, the data of the abnormal connection status is sent to the comprehensive early warning module, and for the video data acquisition units in the remaining connection status, the collected image data is sent to the video data occlusion judgment analysis module; The video data occlusion judgment and analysis module judges whether the video data collected by the video data acquisition unit is blocked based on the image data collected by the video data acquisition unit. If there is occlusion, an occlusion warning is sent to the comprehensive warning module. If it is determined that there is no occlusion, the video data is sent to the video image offset judgment and analysis module; The video image offset judgment and analysis module performs image offset analysis on the video data based on the image data, and outputs the image offset situation to the comprehensive warning module; The comprehensive warning module provides warning information to the staff based on the data respectively sent by the video data analysis module, the video data occlusion judgment analysis module, and the video image offset judgment analysis module.

[0005] As a preferred technical solution of the present invention, the specific steps of the video data analysis module collecting the response time sent by each video data collection unit are as follows: Step A1: The video data analysis module sends a data transmission request to all video data acquisition units and records the current time. ; Step A2: Count the feedback time of all video data acquisition units, and mark the video data acquisition units with feedback time less than the threshold as being in normal connection state; for the video data acquisition units with feedback time exceeding the threshold, execute step A3; Step A3: resend data transmission requests to all video data acquisition units whose feedback time exceeds the threshold through the video data analysis module, mark the video data acquisition units whose feedback time is less than the threshold as having a normal connection status, and mark the video data acquisition units whose feedback time exceeds the threshold as having an abnormal connection status.

[0006] As a preferred technical solution of the present invention, the calculation expression of the feedback time in step A2 is as follows:

[0007] in, Indicates The feedback time of each video data acquisition unit, Indicates the time when the video data acquisition unit successfully uploaded. Indicates The feedback time of a video data acquisition unit is , Indicates that the video data analysis module has not received the The data uploaded by the video data acquisition unit is or When the video data acquisition unit is marked as abnormal connection status, Indicates the index of the video data acquisition unit.

[0008] As a preferred technical solution of the present invention, the specific steps of the video data occlusion judgment and analysis module judging whether the video data collected by the video data acquisition unit is occluded based on the image data collected by the video data acquisition unit are as follows: Step B1: binarization of image data; Step B2: Calculate the proportion of all black areas to the overall area and obtain The occlusion rate of the video data acquisition unit ; Step B3: The occlusion rate of the video data acquisition unit The video is input into the occlusion degree judgment function to judge the degree of occlusion. If there is occlusion, an occlusion warning is sent to the comprehensive warning module. If it is determined that there is no occlusion, the video data is sent to the video image offset judgment and analysis module.

[0009] As a preferred technical solution of the present invention, in step B2, The occlusion rate of the video data acquisition unit The specific expression is as follows:

[0010] in, Indicates The occlusion rate of the video data acquisition unit, Indicates The first image collected by the video data acquisition unit The area of ​​the black region, Indicates The area of ​​all black areas in the image collected by the video data acquisition unit, Indicates The total area of ​​the images collected by the video data acquisition units.

[0011] As a preferred technical solution of the present invention, the specific expression of the occlusion degree judgment function in step B3 is as follows:

[0012] in, Indicates The occlusion rate judgment function of a video data acquisition unit is hour, At this time, the video data occlusion judgment and analysis module determines that there is no occlusion, and then sends the video data to the video image offset judgment and analysis module. hour, At this time, the video data occlusion judgment and analysis module determines that part of the occlusion is detected and sends an occlusion warning to the comprehensive warning module. hour, At this time, the video data occlusion judgment and analysis module determines that all occlusions are present and sends an occlusion warning to the comprehensive warning module.

[0013] As a preferred technical solution of the present invention, the specific steps of the video image offset judgment and analysis module performing image offset analysis on the video data based on the image data and outputting the image offset situation to the comprehensive warning module are as follows: Step C1: The XOY coordinate system is established at the center of the image data of the video data acquisition unit, and the coordinates of the identification point are output ,If the identification point cannot be identified, the step is terminated and an early warning is directly sent to the comprehensive early warning module; Step C2: Calculate the coordinates of the marker points With The coordinates of the initial image data identification points of the video data acquisition unit The deviation between Step C3: If the coordinates of the marked point With The coordinates of the initial image data identification points of the video data acquisition unit The deviation between them is not equal to 0, then the output image is offset to the comprehensive warning module. If the coordinates of the identification point With The coordinates of the initial image data identification points of the video data acquisition unit If the deviation value between them is equal to 0, the judgment is terminated.

[0014] As a preferred technical solution of the present invention, the coordinates of the marking points are calculated in step C2. With The coordinates of the initial image data identification points of the video data acquisition unit The expression of the deviation value between is as follows:

[0015] in, Indicates the coordinates of the marker point With The coordinates of the initial image data identification points of the video data acquisition unit The deviation between Indicates The coordinates of the initial image data identification points of the video data acquisition unit, Represents the coordinates of the identified point.

[0016] As a preferred technical solution of the present invention, the comprehensive warning module only provides the index of the video data acquisition unit when issuing an early warning based on the video data analysis module and the video image offset judgment analysis module. When issuing an early warning based on the video data occlusion judgment analysis module, the comprehensive warning module combines the occlusion degree judgment function The output values ​​are arranged in order from high to low to remind the staff to carry out maintenance.

[0017] A video data patrol method, based on the above-mentioned video data patrol system, comprises the following steps: Step 1: Collect data through camera The video data at each moment, and A frame of video data is intercepted at each acquisition interval as specific image data; Step 2: Determine the response time of the image data uploaded by the camera, analyze the connection status of each camera in combination with the response time, and output the connection status of each camera. If any camera has an abnormal connection status, send data of abnormal connection status for early warning. For the remaining cameras in the connection status, execute step 3 for the image data collected by them. Step 3: Determine whether the camera is blocked based on the image data. If blocked, issue an early warning. If not, execute step 4. Step 4: Determine whether the camera image is offset, and issue an early warning if image offset occurs; Step 5: Dispatch staff to carry out maintenance based on the early warning information.

[0018] Compared with the prior art, the present invention provides a video data patrol method and system, which has the following beneficial effects: The present invention collects data through the response time sent by each video data acquisition unit, analyzes the connection status of each video data acquisition unit in combination with the response time, and outputs the connection status of each video data acquisition unit to judge the connection status of the camera, and then judges whether it is blocked through a video data occlusion judgment and analysis module. If it is not blocked, the video image offset judgment and analysis module is used to judge whether the camera is offset. Finally, the comprehensive early warning module is used to provide early warning information to the staff based on the data sent respectively by the video data analysis module, the video data occlusion judgment and analysis module, and the video image offset judgment and analysis module, thereby realizing timely early warning of stains, network connections and camera offsets that appear during the camera shooting process, and reminding the staff to perform maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a schematic diagram of the system framework of the present invention; Figure 2 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1-Figure 2 , a video data patrol system, including a number of camera video data acquisition units, a video data analysis module, a video data occlusion judgment analysis module, a video image offset judgment analysis module and a comprehensive warning module; Video data acquisition unit is used to collect The video data at each moment, and The video data acquisition unit captures a frame of the video at each acquisition interval as specific image data, and sends the image data to the video data analysis module; The video data analysis module is used to receive image data sent by several video data acquisition units, and at the same time collect the response time sent by each video data acquisition unit, and analyze the connection status of each video data acquisition unit in combination with the response time, and output the connection status of each video data acquisition unit. If any video data acquisition unit has an abnormal connection status, the data of the abnormal connection status is sent to the comprehensive warning module. For the video data acquisition units in the remaining connection status, the collected image data is sent to the video data occlusion judgment analysis module. The specific steps for the video data analysis module to collect the response time sent by each video data acquisition unit are as follows: Step A1: The video data analysis module sends a data transmission request to all video data acquisition units and records the current time. ; Step A2: Count the feedback time of all video data acquisition units, and mark the video data acquisition units whose feedback time is less than the threshold as having a normal connection state. For the video data acquisition units whose feedback time exceeds the threshold, execute step A3. The calculation expression of the feedback time is as follows:

[0022] in, Indicates The feedback time of each video data acquisition unit, Indicates the time when the video data acquisition unit successfully uploaded. Indicates The feedback time of a video data acquisition unit is , Indicates that the video data analysis module has not received the The data uploaded by the video data acquisition unit is or When the video data acquisition unit is marked as abnormal connection status, Represents the index of the video data acquisition unit; Step A3: resend data transmission requests to all video data acquisition units whose feedback time exceeds the threshold through the video data analysis module, mark the video data acquisition units whose feedback time is less than the threshold as having a normal connection state, and mark the video data acquisition units whose feedback time exceeds the threshold as having an abnormal connection state; The video data occlusion judgment and analysis module judges whether the video data collected by the video data acquisition unit is blocked based on the image data collected by the video data acquisition unit. If there is occlusion, an occlusion warning is sent to the comprehensive warning module. If it is determined that there is no occlusion, the video data is sent to the video image offset judgment and analysis module. The specific steps for the video data occlusion judgment and analysis module to judge whether the video data collected by the video data acquisition unit is blocked based on the image data collected by the video data acquisition unit are as follows: Step B1: binarization of image data; Step B2: Calculate the proportion of all black areas to the overall area and obtain The occlusion rate of the video data acquisition unit , in step B2 The occlusion rate of the video data acquisition unit The specific expression is as follows:

[0023] in, Indicates The occlusion rate of the video data acquisition unit, Indicates The first image collected by the video data acquisition unit The area of ​​the black region, Indicates The area of ​​all black areas in the image collected by the video data acquisition unit, Indicates The total area of ​​the images collected by the video data collection units; Step B3: The occlusion rate of the video data acquisition unit The video is input into the occlusion degree judgment function to judge the degree of occlusion. If there is occlusion, an occlusion warning is sent to the comprehensive warning module. If it is judged that there is no occlusion, the video data is sent to the video image offset judgment and analysis module. The specific expression of the occlusion degree judgment function in step B3 is as follows:

[0024] in, Indicates The occlusion rate judgment function of a video data acquisition unit is hour, At this time, the video data occlusion judgment and analysis module determines that there is no occlusion, and then sends the video data to the video image offset judgment and analysis module. hour, At this time, the video data occlusion judgment and analysis module determines that part of the occlusion is detected and sends an occlusion warning to the comprehensive warning module. hour, ,At this time, the video data occlusion judgment and analysis module determines that all occlusions are present and sends an occlusion warning to the comprehensive warning module; The video image offset judgment and analysis module performs image offset analysis on the video data based on the image data, and outputs the image offset situation to the comprehensive warning module. The specific steps of the video image offset judgment and analysis module perform image offset analysis on the video data based on the image data, and output the image offset situation to the comprehensive warning module are as follows: Step C1: The XOY coordinate system is established at the center of the image data of the video data acquisition unit, and the coordinates of the identification point are output ,If the identification point cannot be identified, the step is terminated and an early warning is directly sent to the comprehensive early warning module; Step C2: Calculate the coordinates of the marker points With The coordinates of the initial image data identification points of the video data acquisition unit The specific expression of the deviation between them is as follows:

[0025] in, Indicates the coordinates of the marker point With The coordinates of the initial image data identification points of the video data acquisition unit The deviation between Indicates The coordinates of the initial image data identification points of the video data acquisition unit, Indicates the coordinates of the marked point; Step C3: If the coordinates of the marked point With The coordinates of the initial image data identification points of the video data acquisition unit The deviation between them is not equal to 0, then the output image is offset to the comprehensive warning module. If the coordinates of the identification point With The coordinates of the initial image data identification points of the video data acquisition unit If the deviation between them is equal to 0, the judgment is terminated; The comprehensive warning module provides warning information to the staff based on the data sent by the video data analysis module, the video data occlusion judgment analysis module, and the video image offset judgment analysis module. When the comprehensive warning module issues a warning based on the video data analysis module and the video image offset judgment analysis module, it only provides the index of the video data acquisition unit. When the comprehensive warning module issues a warning based on the video data occlusion judgment analysis module, it combines the occlusion degree judgment function The output values ​​are arranged from high to low to remind the staff to check and repair, such as in a set of data.

[0026] A video data patrol method, based on the above-mentioned video data patrol system, comprises the following steps: Step 1: Collect data through camera The video data at each moment, and A frame of video data is intercepted at each acquisition interval as specific image data; Step 2: Determine the response time of the image data uploaded by the camera, analyze the connection status of each camera in combination with the response time, and output the connection status of each camera. If any camera has an abnormal connection status, send data of abnormal connection status for early warning. For the remaining cameras in the connection status, execute step 3 for the image data collected by them. Step 3: Determine whether the camera is blocked based on the image data. If blocked, issue an early warning. If not, execute step 4. Step 4: Determine whether the camera image is offset, and issue an early warning if image offset occurs; Step 5: Dispatch staff to carry out maintenance based on the early warning information.

[0027] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A video data patrol system, characterized in that: It includes several video data acquisition units, video data analysis modules, video data occlusion judgment and analysis modules, video image offset judgment and analysis modules and comprehensive warning modules; The video data acquisition unit is used to collect The video data at each moment, and The video data acquisition unit captures a frame of the video at each acquisition interval as specific image data, and sends the image data to the video data analysis module; The video data analysis module is used to receive image data sent by several video data acquisition units, and at the same time collect the response time sent by each video data acquisition unit, and analyze the connection status of each video data acquisition unit in combination with the response time, and output the connection status of each video data acquisition unit. If any video data acquisition unit has an abnormal connection status, the data of the abnormal connection status is sent to the comprehensive early warning module, and for the video data acquisition units in the remaining connection status, the collected image data is sent to the video data occlusion judgment analysis module; The video data occlusion judgment and analysis module judges whether the video data collected by the video data acquisition unit is blocked based on the image data collected by the video data acquisition unit. If there is occlusion, an occlusion warning is sent to the comprehensive warning module. If it is determined that there is no occlusion, the video data is sent to the video image offset judgment and analysis module; The video image offset judgment and analysis module performs image offset analysis on the video data based on the image data, and outputs the image offset situation to the comprehensive warning module; The comprehensive warning module provides warning information to the staff based on the data respectively sent by the video data analysis module, the video data occlusion judgment analysis module, and the video image offset judgment analysis module.

2. A video data patrol system according to claim 1, characterized in that: The specific steps of the video data analysis module collecting the response time sent by each video data collection unit are as follows: Step A1: The video data analysis module sends a data transmission request to all video data acquisition units and records the current time. ; Step A2: Count the feedback time of all video data acquisition units, and mark the video data acquisition units with feedback time less than the threshold as being in normal connection state; for the video data acquisition units with feedback time exceeding the threshold, execute step A3; Step A3: resend data transmission requests to all video data acquisition units whose feedback time exceeds the threshold through the video data analysis module, mark the video data acquisition units whose feedback time is less than the threshold as having a normal connection status, and mark the video data acquisition units whose feedback time exceeds the threshold as having an abnormal connection status.

3. A video data patrol system according to claim 2, characterized in that: The calculation expression of the feedback time in step A2 is as follows: in, Indicates The feedback time of each video data acquisition unit, Indicates the time when the video data acquisition unit successfully uploaded. Indicates The feedback time of a video data acquisition unit is , Indicates that the video data analysis module has not received the The data uploaded by the video data acquisition unit is or When the video data acquisition unit is marked as abnormal connection status, Indicates the index of the video data acquisition unit.

4. A video data patrol system according to claim 3, characterized in that: The specific steps of the video data occlusion judgment and analysis module judging whether the video data collected by the video data acquisition unit is blocked based on the image data collected by the video data acquisition unit are as follows: Step B1: binarization of image data; Step B2: Calculate the proportion of all black areas to the overall area and obtain The occlusion rate of the video data acquisition unit ; Step B3: The occlusion rate of the video data acquisition unit The video is input into the occlusion degree judgment function to judge the degree of occlusion. If there is occlusion, an occlusion warning is sent to the comprehensive warning module. If it is determined that there is no occlusion, the video data is sent to the video image offset judgment and analysis module.

5. A video data patrol system according to claim 4, characterized in that: In step B2, The occlusion rate of the video data acquisition unit The specific expression is as follows: in, Indicates The occlusion rate of the video data acquisition unit, Indicates The first image collected by the video data acquisition unit The area of ​​the black region, Indicates The area of ​​all black areas in the image collected by the video data acquisition unit, Indicates The total area of ​​the images collected by the video data acquisition units.

6. A video data patrol system according to claim 5, characterized in that: The specific expression of the occlusion degree judgment function in step B3 is as follows: in, Indicates The occlusion rate judgment function of a video data acquisition unit is hour, At this time, the video data occlusion judgment and analysis module determines that there is no occlusion, and then sends the video data to the video image offset judgment and analysis module. hour, At this time, the video data occlusion judgment and analysis module determines that part of the occlusion is detected and sends an occlusion warning to the comprehensive warning module. hour, At this time, the video data occlusion judgment and analysis module determines that all occlusions are present and sends an occlusion warning to the comprehensive warning module.

7. A video data patrol system according to claim 6, characterized in that: The specific steps of the video image offset judgment and analysis module performing image offset analysis on the video data based on the image data and outputting the image offset situation to the comprehensive warning module are as follows: Step C1: The XOY coordinate system is established at the center of the image data of the video data acquisition unit, and the coordinates of the identification point are output ,If the identification point cannot be identified, the step is terminated and an early warning is directly sent to the comprehensive early warning module; Step C2: Calculate the coordinates of the marker points With The coordinates of the initial image data identification points of the video data acquisition unit The deviation between Step C3: If the coordinates of the marked point With The coordinates of the initial image data identification points of the video data acquisition unit The deviation between them is not equal to 0, then the output image is offset to the comprehensive warning module. If the coordinates of the identification point With The coordinates of the initial image data identification points of the video data acquisition unit If the deviation value between them is equal to 0, the judgment is terminated.

8. A video data patrol system according to claim 7, characterized in that: The coordinates of the marking points are calculated in step C2 With The coordinates of the initial image data identification points of the video data acquisition unit The expression of the deviation value between is as follows: in, Indicates the coordinates of the marker point With The coordinates of the initial image data identification points of the video data acquisition unit The deviation between Indicates The coordinates of the initial image data identification points of the video data acquisition unit, Represents the coordinates of the identified point.

9. A video data patrol system according to claim 8, characterized in that: The comprehensive warning module only provides the index of the video data acquisition unit when issuing an early warning based on the video data analysis module and the video image offset judgment analysis module. When issuing an early warning based on the video data occlusion judgment analysis module, the comprehensive warning module combines the occlusion degree judgment function The output values ​​are arranged in order from high to low to remind the staff to carry out maintenance.

10. A video data patrol method, based on a video data patrol system according to any one of claims 1 to 9, characterized in that: The following steps are involved: Step 1: Collect data through camera The video data at each moment, and A frame of video data is intercepted at each acquisition interval as specific image data; Step 2: Determine the response time of the image data uploaded by the camera, analyze the connection status of each camera in combination with the response time, and output the connection status of each camera. If any camera has an abnormal connection status, send data of abnormal connection status for early warning. For the remaining cameras in the connection status, execute step 3 for the image data collected by them. Step 3: Determine whether the camera is blocked based on the image data. If blocked, issue an early warning. If not, execute step 4. Step 4: Determine whether the camera image is offset, and issue an early warning if image offset occurs; Step 5: Dispatch staff to carry out maintenance based on the early warning information.

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