CN112165603B - Artificial intelligence management system and management method of artificial intelligence processing equipment - Google Patents

Abstract

The present application discloses an artificial intelligence management system and a management method for artificial intelligence processing equipment, wherein the artificial intelligence management system includes: multiple image acquisition equipment for acquiring image signals, multiple artificial intelligence processing equipment, and cloud equipment, The cloud device configuration is used to associate multiple image acquisition devices with corresponding artificial intelligence processing devices in the plurality of artificial intelligence processing devices; and the plurality of artificial intelligence processing devices are configured to receive the associated multiple image acquisition devices image signal, process the image signal, and send the processing result to the cloud device.

Description

Artificial intelligence management system and management method of artificial intelligence processing equipment

technical field

The present application relates to the field of equipment management, in particular, to an artificial intelligence management system and a management method for artificial intelligence processing equipment.

Background technique

Driven by the intelligent and front-end technology trend of video surveillance network, intelligent image acquisition equipment has become a new development direction of network image acquisition equipment. Intelligent image acquisition equipment uses intelligent video analysis technology to realize intelligent functions such as license plate and model recognition, behavior analysis, event detection, and face recognition locally at the front end. Visually speaking, intelligent image acquisition equipment not only has eyes, but also has a brain, which can understand the content contained in video images, perform real-time intelligent video analysis, or provide preprocessing for back-end intelligent analysis.

However, there are still a large number of common image acquisition devices used in video surveillance networks on the market. Because ordinary image acquisition devices are only responsible for collecting and transmitting video images, they do not understand the content contained in video images and cannot meet market demand. Therefore, it is necessary to upgrade these ordinary image acquisition devices to intelligent image acquisition devices. Most of the current upgrade methods choose to directly eliminate ordinary image acquisition equipment, buy new intelligent image acquisition equipment, or install a smart network camera single chip in each ordinary image acquisition equipment, the cost is too high and the scalability is low.

Aiming at the above-mentioned technical problems of high cost and low scalability if the existing common image acquisition equipment is to be upgraded to an intelligent image acquisition equipment, no effective solution has been proposed yet.

Contents of the invention

An embodiment of the present invention provides an artificial intelligence management system and a management method for artificial intelligence processing equipment to solve at least one of the above-mentioned existing ordinary image acquisition equipment, if it is to be upgraded to an intelligent image acquisition equipment, the cost will be too high and the Technical issues with low scalability.

According to an aspect of an embodiment of the present disclosure, an artificial intelligence management system is provided, including: a plurality of image acquisition devices for acquiring image signals, a plurality of artificial intelligence processing devices, and a cloud device, wherein the cloud device is configured to separately The plurality of image acquisition devices are associated with corresponding artificial intelligence processing devices in the plurality of artificial intelligence processing devices; and the plurality of artificial intelligence processing devices are configured to receive image signals sent by the associated plurality of image acquisition devices, and process the image signals processing, and send the processing results to the cloud device.

According to another aspect of the embodiments of the present disclosure, there is also provided a management method for artificial intelligence processing devices, including: matching multiple image acquisition devices with multiple artificial intelligence processing devices, wherein the artificial intelligence processing devices are used to process images Processing the images collected by the collection device; and respectively associating multiple image collection devices with corresponding artificial intelligence processing devices among the multiple artificial intelligence processing devices according to the matching results.

According to another aspect of the embodiments of the present disclosure, a storage medium is provided. The storage medium includes a stored program, wherein the processor executes the above-mentioned method when the program is running.

In the embodiment of the present invention, a plurality of image acquisition devices and a plurality of artificial intelligence processing devices are associated through the cloud device, so that after the image signals are collected by the plurality of image acquisition devices, the image signals can be sent to the corresponding artificial intelligence processing devices , the image signal is processed by the artificial intelligence processing device, and the processing result is sent to the cloud device. In this way, the image acquisition device can be flexibly matched with the corresponding artificial intelligence processing device, and the image signal collected by the image acquisition device can be sent to the artificial intelligence processing device for processing through the network. The chip-level artificial intelligence processing device function Low power consumption, cheap price, flexible increase and decrease of artificial intelligence processing equipment, expansion on demand, low cost, and flexible increase and decrease of the number of image acquisition devices, on-demand intelligence and low cost. Therefore, there is no need to replace the image acquisition device, the intelligentization of the image acquisition device is realized in a flexible manner, and the technical effect of low cost and strong scalability for upgrading the ordinary image acquisition device to an intelligent image acquisition device is achieved. Furthermore, the technical problem of high cost and low scalability existing in the prior art is solved if an existing common image acquisition device is to be upgraded to an intelligent image acquisition device.

Description of drawings

Hereinafter, some specific embodiments of the present application will be described in detail with reference to the accompanying drawings in an exemplary rather than restrictive manner. The same reference numerals in the drawings designate the same or similar parts or parts. Those skilled in the art will appreciate that the drawings are not necessarily drawn to scale. In the attached picture:

Fig. 1 is a schematic diagram of the artificial intelligence management system described in the first aspect of the embodiment of the present application; and

Fig. 2 is a flow chart of the management method of the artificial intelligence processing device described in the second aspect of the embodiment of the present application.

Detailed ways

Fig. 1 shows a schematic diagram of the artificial intelligence management system described in the first aspect of this embodiment. Specifically, as shown in FIG. 1 , according to the first aspect of this embodiment, the artificial intelligence management system 1 described in this application includes: a plurality of image acquisition devices 10a, ..., 10n, A plurality of artificial intelligence processing devices 20a, 20b, 20c and a cloud device 30, wherein the cloud device 30 is configured to separately connect a plurality of image acquisition devices 10a, ..., 10n with a plurality of artificial intelligence processing devices 20a, 20b, 20c The corresponding artificial intelligence processing devices are associated; and the multiple artificial intelligence processing devices 20a, 20b, 20c are configured to receive the image signals sent by the associated multiple image acquisition devices 10a, ..., 10n, and process the image signals , and send the processing result to the cloud device 30.

As mentioned in the background technology, there are still a large number of ordinary image acquisition devices used in video surveillance networks on the market. Since ordinary image acquisition devices are only responsible for collecting and transmitting video images, they do not understand the content contained in video images. Unable to meet market demand. Therefore, it is necessary to upgrade these ordinary image acquisition devices to intelligent image acquisition devices. Most of the current upgrade methods choose to directly eliminate ordinary image acquisition equipment, buy new intelligent image acquisition equipment, or install a smart network camera single chip in each ordinary image acquisition equipment, the cost is too high and the scalability is low.

For this technical problem, referring to Fig. 1, the artificial intelligence management system 1 in the present embodiment includes a plurality of image acquisition devices 10a, ..., 10n, a plurality of artificial intelligence processing devices 20a, 20b, 20c and a cloud device 30 . Among them, a plurality of image acquisition devices 10a, . . . , 10n are ordinary image acquisition devices, which are used to acquire image signals and do not have image intelligent analysis functions. Multiple artificial intelligence processing devices 20a, 20b, and 20c are equipped with intelligent processing functions for image signals, such as license plate and model recognition, behavior analysis, event detection, face recognition and other intelligent functions. The cloud device 30 provides associated services for multiple image acquisition devices 10a, . . . , 10n and multiple artificial intelligence processing devices 20a, 20b, 20c. Corresponding artificial intelligence processing devices among the artificial intelligence processing devices 20a, 20b, and 20c are associated. 1, the cloud device 30 can associate the image acquisition devices 10a, 10b, and 10c with the artificial intelligence processing device 20a, associate the image acquisition devices 10d to 10h with the artificial intelligence processing device 20b, and associate the image acquisition devices 10i to 10i. 10n is associated with the artificial intelligence processing device 20c. Thereby, the image signals collected by the image acquisition devices 10a, 10b and 10c can be transmitted to the artificial intelligence processing device 20a for processing, the image signals collected by the image acquisition devices 10d to 10h can be transmitted to the artificial intelligence processing device 20b for processing, and the image acquisition device 10i The image signal collected by 10n can be transmitted to the artificial intelligence processing device 20c for processing.

Further, multiple artificial intelligence processing devices 20a, 20b, 20c process the received image signals sent by associated multiple image acquisition devices 10a, ..., 10n, and send the processing results to the cloud device 30 . For example: multiple artificial intelligence processing devices 20a, 20b, 20c detect target objects in the image, and send the detected target objects to the cloud device 30 in the form of "events" for processing. In this way, the image acquisition device can be flexibly matched with the corresponding artificial intelligence processing device, and the image signal collected by the image acquisition device can be sent to the artificial intelligence processing device for processing through the network. The chip-level artificial intelligence processing device function Low power consumption, cheap price, flexible increase and decrease of artificial intelligence processing equipment, expansion on demand, low cost, and flexible increase and decrease of the number of image acquisition devices, on-demand intelligence and low cost. Therefore, there is no need to replace the image acquisition device, the intelligentization of the image acquisition device is realized in a flexible manner, and the technical effect of low cost and strong scalability for upgrading the ordinary image acquisition device to an intelligent image acquisition device is achieved. Furthermore, the technical problem of high cost and low scalability existing in the prior art is solved if an existing common image acquisition device is to be upgraded to an intelligent image acquisition device.

Optionally, the cloud device 30 includes a first network interface 310 for receiving and sending signals and a cloud service module 320 connected to the first network interface 310, wherein the first network interface 310 is configured for receiving and collecting multiple images First registration information related to the devices 10a, ..., 10n and second registration information related to multiple artificial intelligence processing devices 20a, 20b, 20c, and sending the first registration information and the second registration information to the cloud service module 320; and the cloud service module 320 is configured to, according to the first registration information and the second registration information received from the first network interface 310, a plurality of image acquisition devices 10a, ..., 10n and a plurality of artificial intelligence processing devices 20a , 20b, 20c to register, and associate the registered multiple image acquisition devices 10a, . . .

Specifically, when there is a need to intelligently upgrade a plurality of image acquisition devices 10a, . . . , 10n, it is necessary to register the plurality of image acquisition devices 10a, . The owner of the acquisition device can access the cloud device 30 through the terminal device, and send the first registration information related to the plurality of image acquisition devices 10a, . . . , 10n to the cloud device 30 . Further, multiple artificial intelligence processing devices 20a, 20b, 20c that can provide image processing services also need to be registered on the cloud device 30, for example, after multiple artificial intelligence processing devices 20a, 20b, 20c are powered on, the first 2. The registration information is sent to the cloud device 30 . Wherein, the first registration information includes information such as basic parameters of the image acquisition device, device name, and device IP address, and the second registration information includes information such as the processing capability of the artificial intelligence processing device, device name, and device IP address.

Correspondingly, referring to FIG. 1 , the cloud device 30 includes a first network interface 310 and a cloud service module 320 . The cloud device 30 first receives the first registration information related to a plurality of image acquisition devices 10a, ..., 10n and the second registration information related to a plurality of artificial intelligence processing devices 20a, 20b, 20c through the first network interface 310, And send the first registration information and the second registration information to the cloud service module 320 . Then through the cloud service module 320 according to the first registration information and the second registration information received from the first network interface 310, a plurality of image acquisition devices 10a, ..., 10n and a plurality of artificial intelligence processing devices 20a, 20b, 20c Perform registration, and associate the registered multiple image acquisition devices 10a, . Therefore, in this way, the entire network structure can be elastically expanded, and both image acquisition equipment and artificial intelligence processing equipment adopt a "registration system", which can be flexibly registered to cloud equipment for easy management.

Optionally, a plurality of artificial intelligence processing devices 20a, 20b, 20c include a plurality of second network interfaces 210a, 210b, 210c and a plurality of artificial intelligence processors 220a, 220a, 220b, 220c, wherein a plurality of second network interfaces 210a, 210b, 210c are connected to a plurality of third network interfaces 120a, ..., 120n and the first network interface 310, for receiving a plurality of associated image acquisition devices 10a , ..., 10n send the image signal, send the image signal to a plurality of artificial intelligence processors 220a, 220b, 220c, and send the processing results transmitted by the plurality of artificial intelligence processors 220a, 220b, 220c to the first network interface 310; and a plurality of artificial intelligence processors 220a, 220b, 220c configured to process image signals received from a plurality of third network interfaces 120a, 120b, 120c, and send the processing results to a plurality of second network interfaces 210a , 210b, 210c.

Specifically, referring to FIG. 1 , multiple artificial intelligence processing devices 20a, 20b, 20c include multiple second network interfaces 210a, 210b, 210c and multiple artificial intelligence processors 220a, 220b, 220c. After image signals are collected by multiple image acquisition devices 10a, . At this time, multiple artificial intelligence processing devices 20a, 20b, 20c receive image signals through multiple second network interfaces 210a, 210b, 210c, and process the image signals through multiple artificial intelligence processors 220a, 220b, 220c, for example, The target object is detected, and the detected target object is sent to the cloud device 30 in the form of an "event" through multiple second network interfaces 210a, 210b, 210c. In this way, not only can the image signal be intelligently processed, but also the intelligently processed structured data can be sent to the cloud device 30, and the cloud device 30 will analyze the data, reducing the huge amount of data required for cloud artificial intelligence detection. While the computing power is under pressure, the network bandwidth pressure of image signals collected by multiple image acquisition devices 10a, . . . , 10n and uploaded to the cloud for artificial intelligence detection is reduced.

Optionally, multiple artificial intelligence processors 220a, 220b, 220c include multiple configuration modules 221a, 221b, 221c connected to multiple second network interfaces 210a, 210b, 210c, wherein multiple configuration modules 221a, 221b, 221c It is configured to send the second registration information related to the plurality of artificial intelligence processing devices 20a, 20b, 20c to the first network interface 310 through the plurality of second network interfaces 210a, 210b, 210c.

Specifically, as shown in FIG. 1, multiple artificial intelligence processors 220a, 220b, 220c include multiple configuration modules 221a, 221b, 221c. After multiple artificial intelligence processors 220a, 220b, 220c are powered on, the configuration module 221a , 221b, 221c automatically send the relevant registration information to the first network interface 310 of the cloud device 30 through the plurality of second network interfaces 210a, 210b, 210c. In this way, the processing capability of the artificial intelligence processing device can be quickly registered with the cloud device 30, so that the artificial intelligence processing device can process N-channel image acquisition devices in real time after quick registration, elastic registration, elastic expansion, and elastic computing power.

Optionally, the cloud service module 320 includes a management sub-module 321 and an associated sub-module 322 connected to the management sub-module 321, wherein the management sub-module 321 is configured to serve multiple image acquisition devices 10a, . . . , 10n and multiple Each artificial intelligence processing device 20a, 20b, 20c provides registration, cancellation, modification, query services; The corresponding artificial intelligence processing devices in the processing devices 20a, 20b, 20c are associated.

Specifically, referring to FIG. 1 , the cloud service module 320 includes a management submodule 321 and an association submodule 322 . Among them, the management sub-module 321 provides registration, cancellation, modification, and query services to multiple image acquisition devices 10a, ..., 10n and multiple artificial intelligence processing devices 20a, 20b, 20c, so that they can be flexibly added or deleted The artificial intelligence processing equipment and the flexible increase and decrease of the number of cameras have achieved the purpose of on-demand expansion and on-demand intelligence. In addition, through the associating sub-module 322, the registered multiple image acquisition devices 10a, ..., 10n are associated with the corresponding artificial intelligence processing devices in the multiple artificial intelligence processing devices 20a, 20b, 20c, thereby providing image acquisition The equipment is equipped with artificial intelligence processing capabilities to realize the intelligence of image acquisition equipment.

Optionally, the association sub-module 322 includes a matching unit 3221 and an IP address issuing unit 3222 connected to the matching unit 3221, wherein the matching unit 3221 is configured to combine multiple image acquisition devices 10a, ..., 10n and multiple artificial The intelligent processing devices 20a, 20b, 20c perform matching, and send the matching result to the IP address sending unit 3222; and the IP address sending unit 3222 is configured to send multiple image acquisition devices The IP addresses of 10a, ..., 10n are sent to the matching multiple artificial intelligence processing devices 20a, 20b, 20c through the first network interface 310, and the artificial intelligence processing devices 20a, 20b, 20c receive multiple image acquisition After receiving the IP addresses of the devices 10a, .

Specifically, referring to FIG. 1 , the association submodule 322 includes a matching unit 3221 and an IP address issuing unit 3222 . Multiple image acquisition devices 10a, . Ability to match multiple image acquisition devices 10a, . . . , 10n and multiple artificial intelligence processing devices 20a, 20b, 20c. After the matching is completed, the IP addresses of the multiple image acquisition devices 10a, . 20c, a plurality of artificial intelligence processing devices 20a, 20b, 20c establish communication between the artificial intelligence processing device and the image acquisition device according to the received IP addresses, and start to receive messages from the plurality of image acquisition devices 10a, ..., 10n image data and processed by artificial intelligence.

Optionally, the cloud service module 320 also includes a monitoring sub-module 323, and the monitoring sub-module 323 is configured to monitor the running status of multiple image acquisition devices 10a, ..., 10n and multiple artificial intelligence processing devices 20a, 20b, 20c .

Specifically, as shown in FIG. 1 , the cloud service module 320 also includes a monitoring submodule 323, through which a plurality of image acquisition devices 10a, . . . , 10n and a plurality of artificial intelligence processing devices 20a, 20b, 20c The operating status of the system is monitored, so that image acquisition equipment or artificial intelligence processing equipment with abnormal operating status can be detected in time and processed, ensuring the stable operation of the entire system.

Optionally, the cloud service module 320 also includes a dynamic configuration submodule 324 connected to the monitoring submodule 323, and the dynamic configuration submodule 324 is configured to configure a plurality of image acquisition devices 10a, ..., 10n and/or or multiple artificial intelligence processing devices 20a, 20b, 20c for re-association.

Specifically, referring to FIG. 1 , the cloud service module 320 further includes a dynamic configuration submodule 324 connected to the monitoring submodule 323 . When the monitoring sub-module 323 detects that the operating state of the image acquisition device or the artificial intelligence processing device is abnormal, it sends an abnormal signal to the dynamic configuration sub-module 324 . At this point, the dynamic configuration sub-module 324 will re-associate the multiple image acquisition devices 10a, . . . , 10n and/or the multiple artificial intelligence processing devices 20a, 20b, 20c. For example, as shown in FIG. 1 , in the event that the artificial intelligence processing device 20a is damaged, the monitoring submodule 323 re-associates a plurality of image acquisition devices 10a, 10b, and 10c to other artificial intelligence devices with normal operating status and spare processing capacity. An intelligent processing device (eg, an artificial intelligence processing device 20b). Or, when the image acquisition device 10a is damaged, the monitoring submodule 323 disassociates the image acquisition device 10a from the artificial intelligence processing device 20a, and re-associates other image acquisition devices for the artificial intelligence processing device 20a. In this way, the purpose of real-time monitoring and dynamically associating the image acquisition device with the artificial intelligence processing device is realized according to the monitoring result.

Optionally, the cloud service module 320 further includes an analysis sub-module 325 configured to analyze the processing results sent by the multiple artificial intelligence processing devices 20a, 20b, 20c. Therefore, the cloud device 30 has the ability to analyze the processing results uploaded by the artificial intelligence processing device, and can also display the analyzed results visually.

Optionally, multiple image acquisition devices 10a, ..., 10n include multiple cameras 110a, ..., 110n and multiple third network interfaces 120a, . .., 120n, wherein a plurality of cameras 110a, ..., 110n are used to collect image signals, and send the collected image signals to a plurality of third network interfaces 120a, ..., 120n; and a plurality of third network The interfaces 120a, ..., 120n are used to receive image signals from multiple cameras 110a, ..., 110n, and send the image signals to associated multiple artificial intelligence processing devices 20a, 20b, 20c. Thus, multiple image acquisition devices 10a, ..., 10n can collect image signals through multiple cameras 110a, ..., 110n, and collect image signals through multiple third network interfaces 120a, ..., 120n The received image signals are sent to associated multiple artificial intelligence processing devices 20a, 20b, 20c, and the image signals are processed by the multiple artificial intelligence processing devices 20a, 20b, 20c.

In addition, referring to FIG. 2, according to the second aspect of Embodiment 1, a method for managing an artificial intelligence processing device is provided, including:

S202: Match multiple image acquisition devices with multiple artificial intelligence processing devices, where the artificial intelligence processing devices are used to process images collected by the image acquisition devices; and

S204: According to the matching result, respectively associate the plurality of image acquisition devices with corresponding artificial intelligence processing devices among the plurality of artificial intelligence processing devices.

Optionally, before the operation of matching the plurality of image acquisition devices with the plurality of artificial intelligence processing devices, it may further include: receiving a registration request related to the plurality of image acquisition devices, wherein the registration request includes information related to the plurality of image acquisition devices First registration information; receiving second registration information related to a plurality of artificial intelligence processing devices from a plurality of artificial intelligence processing devices; Handle the device for registration.

Optionally, the method further includes: further including: receiving a processing result related to images collected by a plurality of associated image acquisition devices sent by a plurality of artificial intelligence processing devices; and analyzing the processing result.

Optionally, the method further includes: monitoring the running status of multiple image acquisition devices and multiple artificial intelligence processing devices; Associating with other artificial intelligence processing devices with normal operation status; and re-association with other image acquisition devices with normal operation status for the artificial intelligence processing device associated with the image acquisition device with abnormal operation status according to the monitoring results.

The method for managing artificial intelligence processing devices provided in the second aspect of this embodiment can refer to all descriptions in the cloud device 30 provided in the first aspect, and can realize all functions of the cloud device 30 provided in the first aspect, and will not be repeated here repeat. Furthermore, according to a third aspect of this embodiment, a storage medium is provided. The storage medium includes a stored program, wherein, when the program is running, the processor executes any one of the methods described above.

The above is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present invention can easily think of changes or Replacement should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.

Claims (9)

1. An artificial intelligence management system (1), characterized by comprising: a plurality of image acquisition devices (10 a, & gt, 10 n) for acquiring image signals, a plurality of artificial intelligence processing devices (20 a, 20b, 20 c) and a cloud device (30), wherein

The cloud device (30) is configured for associating the plurality of image acquisition devices (10 a, & gt, 10 n) with respective ones of the plurality of artificial intelligence processing devices (20 a, 20b, 20 c), respectively;

the plurality of artificial intelligence processing devices (20 a, 20b, 20 c) are configured to receive image signals transmitted by the plurality of associated image acquisition devices (10 a, 10 n), process the image signals, and transmit the processing results to the cloud device (30), wherein

The cloud device includes a cloud service module (320), and wherein

The cloud service module (320) is configured to:

obtaining second registration information associated with the plurality of artificial intelligence processing devices (20 a, 20b, 20 c), wherein the second registration information is transmitted by the respective artificial intelligence processing devices (20 a, 20b, 20 c);

acquiring first registration information related to the plurality of image capturing devices (10 a, 10 n), wherein the first registration information is transmitted by a terminal device of a user;

associating the plurality of image capture devices (10 a, & gt, 10 n) with respective ones of the plurality of artificial intelligence processing devices (20 a, 20b, 20 c) according to the first registration information and the second registration information, respectively;

the cloud service module (320) further includes: an association sub-module (322) for respectively associating the registered plurality of image capture devices (10 a, & gt, 10 n) with a respective artificial intelligence processing device of the plurality of artificial intelligence processing devices (20 a, 20b, 20 c), wherein

The association sub-module (320) comprises: a matching unit (3221) and an IP address issuing unit (3222) connected to the matching unit (3221), wherein

The matching unit (3221) is configured to match the plurality of image capturing devices (10 a, & gt, 10 n) and the plurality of artificial intelligence processing devices (20 a, 20b, 20 c), and to send a matching result to the IP address issuing unit (3222); and

the IP address issuing unit (3222) is configured to issue IP addresses of the plurality of image capturing devices (10 a, 10 n) to the plurality of matched artificial intelligence processing devices (20 a, 20b, 20 c) through a first network interface (310) according to a matching result received from the matching unit (3221), and the artificial intelligence processing devices (20 a, 20b, 20 c) start to receive image data of the plurality of image capturing devices (10 a, 10 n) and perform artificial intelligence processing after receiving the IP addresses of the plurality of image capturing devices (10 a, 10 n).

2. The artificial intelligence management system (1) of claim 1, wherein the cloud device (30) comprises a first network interface (310) for receiving signals and transmitting signals, the first network interface (310) being connected with the cloud service module (320), wherein

The first network interface (310) is configured to receive first registration information related to the plurality of image capture devices (10 a, & gt, 10 n) and second registration information related to the plurality of artificial intelligence processing devices (20 a, 20b, 20 c), and to send the first registration information and the second registration information to the cloud service module (320).

3. The artificial intelligence management system (1) of claim 2, wherein the plurality of artificial intelligence processing devices (20 a, 20b, 20 c) includes a plurality of second network interfaces (210 a, 210b, 210 c) and a plurality of artificial intelligence processors (220 a, 220b, 220 c) connected to the plurality of second network interfaces (210 a, 210b, 210 c), wherein

The plurality of second network interfaces (210 a, 210b, 210 c) are connected to a plurality of third network interfaces (120 a,..sub.120 n) and the first network interface (310) for receiving image signals transmitted by the associated plurality of image capture devices (10 a,..sub.10 n), transmitting the image signals to the plurality of artificial intelligence processors (220 a, 220b, 220 c), and transmitting the processing results transmitted by the plurality of artificial intelligence processors (220 a, 220b, 220 c) to the first network interface (310); and

the plurality of artificial intelligence processors (220 a, 220b, 220 c) are configured to process image signals received from the plurality of third network interfaces (120 a, 120b, 120 c) and to send processing results to the plurality of second network interfaces (210 a, 210b, 210 c).

4. The artificial intelligence management system (1) of claim 3, wherein the plurality of artificial intelligence processors (220 a, 220b, 220 c) comprises a plurality of configuration modules (221 a, 221b, 221 c) coupled to the plurality of second network interfaces (210 a, 210b, 210 c), wherein

The plurality of configuration modules (221 a, 221b, 221 c) are configured to send the second registration information related to the plurality of artificial intelligence processing devices (20 a, 20b, 20 c) to the first network interface (310) through the plurality of second network interfaces (210 a, 210b, 210 c).

5. The artificial intelligence management system (1) of claim 4, wherein the cloud service module (320) comprises a management sub-module (321) coupled to the association sub-module (320), wherein,

the management sub-module (321) is configured to provide registration, deregistration, modification, query services for the plurality of image capturing devices (10 a, & gt, 10 n) and the plurality of artificial intelligence processing devices (20 a, 20b, 20 c).

6. The artificial intelligence management system (1) of claim 4, wherein the cloud service module (320) further comprises a monitoring sub-module (323), the monitoring sub-module (323) configured to monitor the operational status of the plurality of image capture devices (10 a,..10 n) and the plurality of artificial intelligence processing devices (20 a, 20b, 20 c).

7. The artificial intelligence management system (1) of claim 6, wherein the cloud service module (320) further comprises a dynamic configuration sub-module (324) coupled to the monitoring sub-module (323), the dynamic configuration sub-module (324) configured to re-associate the plurality of image capture devices (10 a,..10 n) and/or the plurality of artificial intelligence processing devices (20 a, 20b, 20 c) that are in abnormal operating conditions.

8. The artificial intelligence management system (1) of claim 4, wherein the cloud service module (320) further comprises an analysis sub-module (324), the analysis sub-module (324) configured to analyze the processing results sent by the plurality of artificial intelligence processing devices (20 a, 20b, 20 c).

9. A method for managing an artificial intelligence processing device, comprising:

matching a plurality of image acquisition devices with a plurality of artificial intelligence processing devices, wherein the artificial intelligence processing devices are used for processing images acquired by the image acquisition devices; and

according to the matching result, respectively associating the plurality of image acquisition devices with corresponding artificial intelligent processing devices in the plurality of artificial intelligent processing devices;

receiving processing results of image signals corresponding to the associated image acquisition devices, which are sent by the plurality of artificial intelligence processing devices; wherein the method comprises the steps of

And according to the matching result, respectively associating the plurality of image acquisition devices with corresponding artificial intelligence processing devices in the plurality of artificial intelligence processing devices, including:

obtaining second registration information associated with the plurality of artificial intelligence processing devices, wherein the second registration information is transmitted by the respective artificial intelligence processing devices;

acquiring first registration information related to the plurality of image acquisition devices, wherein the first registration information is sent by terminal equipment of a user;

according to the first registration information and the second registration information, respectively associating the plurality of image acquisition devices with corresponding artificial intelligent processing devices in the plurality of artificial intelligent processing devices; wherein the method comprises the steps of

According to the first registration information and the second registration information, the operation of associating the plurality of image acquisition devices with corresponding artificial intelligence processing devices in the plurality of artificial intelligence processing devices respectively comprises the following steps:

matching the plurality of image acquisition devices with the plurality of artificial intelligence processing devices and generating a matching result; and

according to the matching result, the IP addresses of the image acquisition devices are issued to the matched artificial intelligent processing devices through a first network interface, and after the artificial intelligent processing devices receive the IP addresses of the image acquisition devices, the artificial intelligent processing devices start to receive the image data of the image acquisition devices and perform artificial intelligent processing.

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