WO2018161219A1

WO2018161219A1 - Method and system for managing big data of monitoring videos

Info

Publication number: WO2018161219A1
Application number: PCT/CN2017/075767
Authority: WO
Inventors: 马岩
Original assignee: 深圳市博信诺达经贸咨询有限公司
Priority date: 2017-03-06
Filing date: 2017-03-06
Publication date: 2018-09-13

Abstract

Disclosed in the present invention is method for managing big data of monitoring videos, the method comprising the following steps: a monitoring system receives first video information transmitted by a camera; the monitoring system compares the first video information to previous second video information of the camera; if the comparison result is a match, the monitoring system does not store the first video information, and if the comparison result is not a match, the monitoring system stores the first video information. The technical solution provided in the present invention has the advantage of a great user experience.

Description

Monitoring video big data management method and system

Technical field

The present invention relates to the field of monitoring, and in particular, to a method and system for managing video big data.

Background technique

The monitoring system consists of 5 parts: camera, transmission, control, display, and record registration. The camera transmits the video image to the control host through the coaxial video cable, and the control host distributes the video signal to each monitor and recording device, and simultaneously records the voice signal to be transmitted into the recorder. By controlling the host, the operator can issue commands to control the up, down, left, and right movements of the pan/tilt and focus the zoom on the lens, and can be implemented in the multi-channel camera and the pan/tilt by the control host. Switch between. With special recording processing mode, images can be recorded, played back, processed, etc., so that the recording effect is optimal.

The big data video files of the existing monitoring system only have the storage function, and the video files are not filtered and managed, so the user experience is low.

technical problem

The application provides a management method for monitoring video big data. It solves the shortcomings of low user experience of the prior art technical solutions.

Technical solution

In one aspect, a method for managing video big data is provided, the method comprising the following steps: monitoring a method for managing video big data, the method comprising the following steps:

The monitoring system receives the first video information transmitted by the camera;

The monitoring system compares the first video information with the second video information before the camera;

If the monitoring system is consistent, the first video information is not stored, and if the comparison is inconsistent, the first video information is stored.

Optionally, the method further includes:

The monitoring system identifies whether the different portions of the first video information and the second video information are person information, and if not the person information, deleting the first video information.

Optionally, the method further includes:

The monitoring system collects the total capacity of the stored big data video information, and if the total capacity exceeds the set threshold, prompts the user to organize the big data video information of the monitoring system.

In a second aspect, a management system for monitoring video big data is provided, the system comprising:

a transceiver unit, configured to receive first video information delivered by the camera;

a processing unit, configured to compare the first video information with the second video information before the camera, if the comparison is consistent, the first video information is not stored, and if the comparison is inconsistent, the first video information is used. storage.

Optionally, the system further includes:

The processing unit is configured to identify whether different parts of the first video information and the second video information are person information, and if not the person information, delete the first video information.

Optionally, the system further includes:

The processing unit is configured to collect the total capacity of the stored big data video information, and if the total capacity exceeds the set threshold, prompt the user to organize the big data video information of the monitoring system.

A third aspect provides a monitoring system, including: a processor, a wireless transceiver, a memory, and a bus, wherein the processor, the wireless transceiver, and the memory are connected by a bus, and the wireless transceiver is configured to receive a camera transmission a video message;

The processor is configured to compare the first video information with the second video information before the camera. If the comparison is consistent, the first video information is not stored, and if the comparison is inconsistent, the first Video information storage.

Optionally, the processor is configured to identify whether different parts of the first video information and the second video information are character information, and if not, the first video information.

Optionally, the processor is configured to collect a total capacity of the stored big data video information, and if the total capacity exceeds a set threshold, prompt the user to organize the big data video information of the monitoring system.

Beneficial effect

The technical solution provided by the present invention determines whether to store the video file according to a specific situation, and dynamically manages the video file, so that it has the advantage of improving user experience.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without paying any creative work.

1 is a flowchart of a method for managing monitoring video big data according to a first preferred embodiment of the present invention;

2 is a structural diagram of a management system for monitoring video big data according to a second preferred embodiment of the present invention.

FIG. 3 is a hardware structural diagram of a monitoring system according to a second preferred embodiment of the present invention.

Embodiments of the invention

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

Please refer to FIG. 1. FIG. 1 is a schematic diagram of a method for managing monitoring video big data according to a first preferred embodiment of the present invention. The method is as shown in FIG.

Step S101: The monitoring system receives the first video information delivered by the camera.

Step S102: The monitoring system compares the first video information with the second video information before the camera.

Step S103: If the monitoring system is consistent, the first video information is not stored, and if the comparison is inconsistent, the first video information is stored.

Optionally, the monitoring system identifies whether different parts of the first video information and the second video information are character information, and if not, the first video information is deleted.

Optionally, the monitoring system collects the total capacity of the stored big data video information, and if the total capacity exceeds the set threshold, prompting the user to organize the big data video information of the monitoring system.

Please refer to FIG. 2. FIG. 2 is a management system for monitoring video big data according to a second preferred embodiment of the present invention. The system is as shown in FIG. 2, and includes:

The transceiver unit 201 is configured to receive first video information delivered by the camera;

The processing unit 202 is configured to compare the first video information with the second video information before the camera. If the comparison is consistent, the first video information is not stored. If the comparison is inconsistent, the first video is used. Information storage.

Optionally, the processing unit 202 is configured to identify whether different parts of the first video information and the second video information are person information, and if not the person information, delete the first video information.

Optionally, the processing unit 202 is configured to collect the total capacity of the stored big data video information, and if the total capacity exceeds the set threshold, prompt the user to organize the big data video information of the monitoring system.

Referring to FIG. 3, FIG. 3 is a monitoring system 30, including: a processor 301, a wireless transceiver 302, a memory 303, and a bus 304. The wireless transceiver 302 is configured to transmit and receive data with and from an external device. The number of processors 301 can be one or more. In some embodiments of the present application, processor 301, memory 302, and transceiver 303 may be connected by bus 304 or other means. Monitoring system 30 can be used to perform the steps of FIG. For the meaning and examples of the terms involved in the embodiment, reference may be made to the corresponding embodiment of FIG. 1. I will not repeat them here.

The wireless transceiver 302 is configured to receive the first video information delivered by the camera.

The program code is stored in the memory 303. The processor 901 is configured to call the program code stored in the memory 903 for performing the following operations:

The processor 301 is configured to compare the first video information with the second video information before the camera. If the comparison is consistent, the first video information is not stored. If the comparison is inconsistent, the first video is used. Information storage.

It should be noted that the processor 301 herein may be a processing component or a general term of multiple processing components. For example, the processing element can be a central processor (Central) Processing Unit, CPU), or a specific integrated circuit (Application Specific Integrated) Circuit, ASIC), or one or more integrated circuits configured to implement embodiments of the present application, such as one or more microprocessors (digital singnal Processor, DSP), or one or more Field Programmable Gate Arrays (FPGAs).

The memory 303 may be a storage device or a collective name of a plurality of storage elements, and is used to store executable program code or parameters, data, and the like required for the application running device to operate. And the memory 303 may include random access memory (RAM), and may also include non-volatile memory (non-volatile memory) Memory), such as disk storage, flash (Flash), etc.

Bus 304 can be an industry standard architecture (Industry Standard Architecture, ISA) bus, Peripheral Component (PCI) bus or extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 3, but it does not mean that there is only one bus or one type of bus.

The terminal may further include input and output means connected to the bus 304 for connection to other parts such as the processor 301 via the bus. The input/output device can provide an input interface for the operator, so that the operator can select the control item through the input interface, and can also be other interfaces through which other devices can be externally connected.

It should be noted that, for the foregoing various method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should understand that the present invention is not limited by the described action sequence. Because certain steps may be performed in other sequences or concurrently in accordance with the present invention. In addition, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

In the above embodiments, the descriptions of the various embodiments are different, and the parts that are not described in detail in a certain embodiment can be referred to the related descriptions of other embodiments.

A person skilled in the art may understand that all or part of the various steps of the foregoing embodiments may be performed by a program to instruct related hardware. The program may be stored in a computer readable storage medium, and the storage medium may include: Flash drive, read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or CD.

The content downloading method and the related device and system provided by the embodiments of the present invention are described in detail above. The principles and implementation manners of the present invention are described in the specific examples. The description of the above embodiments is only used to help understand the present invention. The method of the invention and its core idea; at the same time, for the person of ordinary skill in the art, according to the idea of the present invention, there are some changes in the specific embodiment and the scope of application. In summary, the content of the specification should not be understood. To limit the invention.

Claims

A method for managing video big data, characterized in that the method comprises the following steps:

The monitoring system receives the first video information transmitted by the camera;

The monitoring system compares the first video information with the second video information before the camera;

If the monitoring system is consistent, the first video information is not stored, and if the comparison is inconsistent, the first video information is stored.
The method of claim 1 further comprising:

The monitoring system identifies whether the different portions of the first video information and the second video information are person information, and if not the person information, deleting the first video information.
The method of claim 2, wherein the method further comprises:

The monitoring system collects the total capacity of the stored big data video information, and if the total capacity exceeds the set threshold, prompts the user to organize the big data video information of the monitoring system.
A management system for monitoring video big data, characterized in that the system comprises:

a transceiver unit, configured to receive first video information delivered by the camera;

a processing unit, configured to compare the first video information with the second video information before the camera, if the comparison is consistent, the first video information is not stored, and if the comparison is inconsistent, the first video information is used. storage.
The system of claim 4, wherein the system further comprises:

The processing unit is configured to identify whether different parts of the first video information and the second video information are person information, and if not the person information, delete the first video information.
The system of claim 5, wherein the system further comprises:

The processing unit is configured to collect the total capacity of the stored big data video information, and if the total capacity exceeds the set threshold, prompt the user to organize the big data video information of the monitoring system.
A monitoring system includes: a processor, a wireless transceiver, a memory, and a bus, wherein the processor, the wireless transceiver, and the memory are connected by a bus, wherein

The wireless transceiver is configured to receive first video information delivered by a camera;

The processor is configured to compare the first video information with the second video information before the camera. If the comparison is consistent, the first video information is not stored, and if the comparison is inconsistent, the first Video information storage.
The monitoring system according to claim 7, wherein the processor is configured to identify whether different portions of the first video information and the second video information are person information, and if not the person information, delete the first video information. .
The monitoring system according to claim 7, wherein the processor is configured to count the total capacity of the stored big data video information, and if the total capacity exceeds a set threshold, prompt the user to monitor the system for big data. Video information is organized.