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Computing power allocation method and device

A technology of computing power and front-end equipment, applied in computing, television, instruments, etc., can solve the problems of front-end equipment loss, loss of equipment life, waste, etc., to improve reliability and stability, reduce self-load, and reduce equipment loss Effect

Pending Publication Date: 2020-03-17
HANGZHOU EZVIZ SOFTWARE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the existing security monitoring system, such as the cameras arranged at the monitoring site, even if they all have the intelligent function of face or license plate recognition, once a large number of people or vehicles appear in the monitoring scene for a long time , its calculation and analysis capabilities will maintain a high load state for a long time, and then there will be calculation and analysis errors and even loss of equipment life
[0004] To sum up, in the existing security monitoring system, there is no reasonable method for allocating the computing power or computing resources of each front-end device deployed in the system, which makes part of the front-end Rapid consumption, while the other part is wasted due to long-term idle or under-saturated load

Method used

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  • Computing power allocation method and device
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  • Computing power allocation method and device

Examples

Experimental program
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Effect test

Embodiment 1

[0091] In the security monitoring system used for traffic monitoring, the monitoring targets mainly include pedestrians and vehicles. The purpose of image analysis is to analyze whether pedestrians and vehicles have red-light running behaviors, and locate specific pedestrians and vehicles that run red lights.

[0092] In the security monitoring system for traffic monitoring, the front-end device is a smart camera, and the back-end device is a server. Multiple smart cameras are installed at different road intersections to capture illegal pedestrians and cars running red lights.

[0093] It is assumed that there are two front-end devices in the security monitoring system: a first smart camera and a second smart camera. Among them, the intersection where the first smart camera is located belongs to a busy road section, and pedestrians and vehicles are very dense. line or running a red light. Since the first smart camera is in a high-load state for a long time, the calculation a...

Embodiment 2

[0097] In the security monitoring system used for passenger flow monitoring, the monitoring targets mainly include people (such as customers in supermarkets), and the purpose of image analysis is to analyze the specific behavior of people appearing in the monitoring screen, such as whether there is a behavior of stealing goods .

[0098] In the security monitoring system for traffic passenger flow, the front-end device is a smart camera, and the back-end device is a server. Multiple smart cameras are set up in different monitoring areas (for example, household appliances area, food area, etc. in a supermarket) to capture the behavior of people in different monitoring areas.

[0099] It is assumed that there are two front-end devices in the security monitoring system: the third smart camera and the fourth smart camera. Among them, the monitoring area where the third smart camera is located is a video area, and there are many customers. The third smart camera needs to continuou...

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Abstract

The invention provides a computing power allocation method and system applied to a security and protection monitoring system. The security and protection monitoring system comprises a plurality of front-end devices and a server, the front-end devices are connected with the server through a gateway, and the method is specifically applied to any front-end device in the security and protection monitoring system and comprises the steps of enabling the front-end device to detect the load state of the front-end device; if determining through detection that the load state meets the high-load allocation condition, and if yes, cutting the acquired video image to obtain a sub-image, selecting an idle device from the security monitoring system, sending the cut sub-image to the idle device to performimage analysis for the monitoring target, and performing image analysis for the monitoring target on the remaining cut image. According to the invention, the computing power of the front-end device inthe security monitoring system can be reasonably distributed, and the reliability and stability of the security monitoring system are improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method and device for allocating computing power in a security system. Background technique [0002] With the acceleration of urbanization in our country, the population and vehicle ownership in many large cities have experienced explosive growth, which has brought huge challenges and pressures to urban security and traffic management. It is a commonly used technical means to use the security monitoring system to monitor and analyze a large number of people and vehicles in urban public places (such as stations, airports, docks, squares) and roads in real time, so as to ensure urban safety and smooth traffic. [0003] However, in the existing security monitoring system, such as the cameras arranged at the monitoring site, even if they all have the intelligent function of face or license plate recognition, once a large number of targets such as people or vehicles ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06H04N7/18
CPCG06Q10/0631H04N7/181
Inventor 刘正茂杜安强李兴波
Owner HANGZHOU EZVIZ SOFTWARE CO LTD