CN112165603B - Artificial intelligence management system and management method of artificial intelligence processing equipment - Google Patents
Artificial intelligence management system and management method of artificial intelligence processing equipment Download PDFInfo
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Abstract
The application discloses an artificial intelligence management system and a management method of artificial intelligence processing equipment, wherein the artificial intelligence management system comprises: the system comprises a plurality of image acquisition devices, a plurality of artificial intelligence processing devices and a cloud device, wherein the cloud device is configured to respectively associate the plurality of 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 image signals sent by the plurality of associated image acquisition devices, process the image signals and send the processing results to the cloud end device.
Description
Technical Field
The application relates to the field of equipment management, in particular to an artificial intelligence management system and an artificial intelligence processing equipment management method.
Background
Under the promotion of the intelligent and front-end technology trend of the video monitoring network, the intelligent image acquisition equipment becomes a new development direction of the network image acquisition equipment. The intelligent image acquisition equipment uses an intelligent video analysis technology to locally realize intelligent functions such as license plate and vehicle type recognition, behavior analysis, event detection, face recognition and the like at the front end. In visual terms, the intelligent image acquisition device has eyes and a brain, and can understand the content contained in the video image, perform real-time intelligent video analysis or provide preprocessing for back-end intelligent analysis.
However, there are a large number of common image acquisition devices for video monitoring networks in the market, and since the common image acquisition devices are only responsible for acquiring and transmitting video images, they do not understand the content contained in the video images, and cannot meet the market demand. Therefore, it is necessary to upgrade these general image capturing apparatuses to intelligent image capturing apparatuses. Most of the current upgrading modes directly eliminate common image acquisition equipment and re-purchase intelligent image acquisition equipment, or install an intelligent network camera single chip in each common image acquisition equipment, so that the cost is high and the expandability is low.
Aiming at the technical problems that the cost is too high and the expandability is low if the conventional common image acquisition equipment is to be upgraded into intelligent image acquisition equipment, no effective solution is proposed at present.
Disclosure of Invention
The embodiment of the invention provides an artificial intelligent management system and an artificial intelligent processing device management method, which are used for at least solving the technical problems that the cost is too high and the expandability is low if the conventional common image acquisition device is to be upgraded into an intelligent image acquisition device.
According to one aspect of the disclosed embodiments, there is provided an artificial intelligence management system comprising: the system comprises a plurality of image acquisition devices, a plurality of artificial intelligence processing devices and a cloud device, wherein the cloud device is configured to respectively associate the plurality of 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 image signals sent by the plurality of associated image acquisition devices, process the image signals and send the processing results to the cloud end device.
According to another aspect of the embodiments of the present disclosure, there is also provided a management method of an artificial intelligence processing device, including: matching a plurality of image acquisition devices with a plurality of artificial intelligent processing devices, wherein the artificial intelligent processing devices are used for processing images acquired by the image acquisition devices; and respectively associating the plurality of image acquisition devices with corresponding artificial intelligence processing devices in the plurality of artificial intelligence processing devices according to the matching result.
According to another aspect of an embodiment of the present disclosure, a storage medium is provided. The storage medium includes a stored program, wherein the method described above is performed by a processor when the program is run.
In the embodiment of the invention, the cloud device is used for associating the plurality of image acquisition devices with the plurality of artificial intelligence processing devices, so that the plurality of image acquisition devices can send the image signals to the corresponding artificial intelligence processing devices after acquiring the image signals, the artificial intelligence processing devices process the image signals, and the processing results are sent to the cloud device. Through this kind of mode, can be nimble with image acquisition equipment and corresponding artificial intelligence processing equipment collocation, can send the image signal that image acquisition equipment gathered to artificial intelligence processing equipment through the network and handle, the artificial intelligence processing equipment of chip level consumes low, low price to but elasticity increase, delete artificial intelligence processing equipment, the expansion as required, with low costs, but simultaneously elasticity increase, delete the quantity of image acquisition equipment, intellectuality as required, with low costs. Therefore, the intelligent image acquisition equipment is realized in an elastic mode without changing the image acquisition equipment, and the technical effects of low cost and strong expandability of upgrading the common image acquisition equipment into the intelligent image acquisition equipment are achieved. And further solves the technical problems of high cost and low expandability caused by upgrading the prior common image acquisition equipment into intelligent image acquisition equipment in the prior art.
Drawings
Some specific embodiments of the present application will be described in detail hereinafter by way of example and not by way of limitation with reference to the accompanying drawings. The same reference numbers will be used throughout the drawings to refer to the same or like parts or portions. It will be appreciated by those skilled in the art that the drawings are not necessarily drawn to scale. In the accompanying drawings:
FIG. 1 is a schematic diagram of an artificial intelligence management system according to a first aspect of an embodiment of the present application; and
FIG. 2 is a flow chart of a method of managing an artificial intelligence processing device according to a second aspect of an embodiment of the present application.
Detailed Description
FIG. 1 shows a schematic diagram of an artificial intelligence management system according to the first aspect of the present embodiment. Specifically, referring to fig. 1, according to a first aspect of the present embodiment, an artificial intelligence management system 1 described in the present application includes: a plurality of image capture devices 10a, a..10 n, a plurality of artificial intelligence processing devices 20a, 20b, 20c, and a cloud device 30 for capturing image signals, wherein the cloud device 30 is configured to associate the plurality of image capture devices 10a, a..10 n with respective ones of the plurality of artificial intelligence processing devices 20a, 20b, 20c, respectively; and the plurality of artificial intelligence processing devices 20a, 20b, 20c are configured to receive image signals transmitted by the associated plurality of image capture devices 10a, 10n, process the image signals, and transmit the processing results to the cloud device 30.
As described in the background art, there are still a large number of common image capturing devices for video monitoring networks in the market, and since the common image capturing device is only responsible for capturing and transmitting video images, it does not understand the content contained in the video images, and cannot adapt to the market demand. Therefore, it is necessary to upgrade these general image capturing apparatuses to intelligent image capturing apparatuses. Most of the current upgrading modes directly eliminate common image acquisition equipment and re-purchase intelligent image acquisition equipment, or install an intelligent network camera single chip in each common image acquisition equipment, so that the cost is high and the expandability is low.
In view of this technical problem, referring to fig. 1, the artificial intelligence management system 1 in the present embodiment includes a plurality of image capturing devices 10a, & gt, 10n, a plurality of artificial intelligence processing devices 20a, 20b, 20c, and a cloud device 30. The plurality of image acquisition devices 10a, 10n are common image acquisition devices, and are used for acquiring image signals, and do not have an image intelligent analysis function. The plurality of artificial intelligence processing devices 20a, 20b, 20c have an intelligent processing function for performing intelligent processing on image signals, for example, intelligent functions such as license plate and vehicle type recognition, behavior analysis, event detection, and face recognition. The cloud device 30 provides association services for the plurality of image capture devices 10a, the..10 n and the plurality of artificial intelligence processing devices 20a, 20b, 20c, i.e. associates the plurality of image capture devices 10a, the..10 n with respective ones of the plurality of artificial intelligence processing devices 20a, 20b, 20c, respectively. Referring to fig. 1, the cloud device 30 may associate the image capturing devices 10a, 10b, and 10c with the artificial intelligence processing device 20a, associate the image capturing devices 10d to 10h with the artificial intelligence processing device 20b, and associate the image capturing devices 10i to 10n with the artificial intelligence processing device 20c. Thus, the image signals collected by the image collecting devices 10a, 10b and 10c may be transmitted to the artificial intelligence processing device 20a for processing, the image signals collected by the image collecting devices 10d to 10h may be transmitted to the artificial intelligence processing device 20b for processing, and the image signals collected by the image collecting devices 10i to 10n may be transmitted to the artificial intelligence processing device 20c for processing.
Further, the image signals transmitted by the plurality of image capture devices 10a, 10n, which are associated with the reception, are processed by the plurality of artificial intelligence processing devices 20a, 20b, 20c, and the processing results are transmitted to the cloud device 30. For example: the multiple artificial intelligence processing devices 20a, 20b and 20c detect the target object from the image, and send the detected target object to the cloud device 30 for processing in the form of an "event". Through this kind of mode, can be nimble with image acquisition equipment and corresponding artificial intelligence processing equipment collocation, can send the image signal that image acquisition equipment gathered to artificial intelligence processing equipment through the network and handle, the artificial intelligence processing equipment of chip level consumes low, low price to but elasticity increase, delete artificial intelligence processing equipment, the expansion as required, with low costs, but simultaneously elasticity increase, delete the quantity of image acquisition equipment, intellectuality as required, with low costs. Therefore, the intelligent image acquisition equipment is realized in an elastic mode without changing the image acquisition equipment, and the technical effects of low cost and strong expandability of upgrading the common image acquisition equipment into the intelligent image acquisition equipment are achieved. And further solves the technical problems of high cost and low expandability caused by upgrading the prior common image acquisition equipment into intelligent image acquisition equipment in the prior art.
Optionally, the cloud device 30 includes a first network interface 310 for receiving signals and sending signals, and a cloud service module 320 connected to the first network interface 310, wherein the first network interface 310 is configured to receive first registration information related to the plurality of image capturing devices 10a, 10, and second registration information related to the plurality of artificial intelligence processing devices 20a, 20b, 20c, and send the first registration information and the second registration information to the cloud service module 320; and the cloud service module 320 is configured to register the plurality of image capturing devices 10a, the..10 n and the plurality of artificial intelligence processing devices 20a, 20b, 20c according to the first registration information and the second registration information received from the first network interface 310, and associate the registered plurality of image capturing devices 10a, the..10 n with corresponding artificial intelligence processing devices of the plurality of artificial intelligence processing devices 20a, 20b, 20c, respectively.
Specifically, when there is a need to intelligently upgrade the plurality of image capturing devices 10a, & gt, 10n, it is necessary to register the plurality of image capturing devices 10a, & gt, 10n on the cloud device 30, for example, an owner of the image capturing devices may access the cloud device 30 through the terminal device, and send first registration information related to the plurality of image capturing devices 10a, & gt, 10n to the cloud device 30. Further, the plurality of artificial intelligence processing devices 20a, 20b, 20c capable of providing the image processing service also need to register on the cloud device 30, for example, after the plurality of artificial intelligence processing devices 20a, 20b, 20c are powered on, the second registration information is automatically sent to the cloud device 30. The first registration information includes, for example, information such as a basic parameter of the image acquisition device, a device name, and a device IP address, and the second registration information includes information such as a processing capability of the artificial intelligence processing device, a device name, and a device IP address.
Accordingly, 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 first registration information related to the plurality of image capture devices 10a,..10 n and second registration information related to the plurality of artificial intelligence processing devices 20a, 20b, 20c through the first network interface 310, and transmits the first registration information and the second registration information to the cloud service module 320. The plurality of image capture devices 10a, the..10 n and the plurality of artificial intelligence processing devices 20a, 20b, 20c are then registered by the cloud service module 320 according to the first registration information and the second registration information received from the first network interface 310, and the registered plurality of image capture devices 10a, the..10 n are associated with respective ones of the plurality of artificial intelligence processing devices 20a, 20b, 20c. Therefore, in the mode, the whole network structure is elastically extensible, and the image acquisition equipment and the artificial intelligent processing equipment are elastically registered to the cloud equipment by adopting a registration system, so that the management is convenient.
Optionally, the plurality of artificial intelligence processing devices 20a, 20b, 20c includes a plurality of second network interfaces 210a, 210b, 210c and a plurality of artificial intelligence processors 220a, 220b, 220c connected to the plurality of second network interfaces 210a, 210b, 210c, wherein the plurality of second network interfaces 210a, 210b, 210c are connected to the plurality of third network interfaces 120a, the first network interface 310 for receiving image signals transmitted by the associated plurality of image capture devices 10a, the first network interfaces 10n, transmitting the image signals to the plurality of artificial intelligence processors 220a, 220b, 220c, and transmitting the processing results transmitted by the plurality of artificial intelligence processors 220a, 220b, 220c to the first network interfaces 310; and the plurality of artificial intelligence processors 220a, 220b, 220c are configured to process image signals received from the plurality of third network interfaces 120a, 120b, 120c and transmit the processing results to the plurality of second network interfaces 210a, 210b, 210c.
In particular, referring to FIG. 1, the plurality of artificial intelligence processing devices 20a, 20b, 20c includes a plurality of second network interfaces 210a, 210b, 210c and a plurality of artificial intelligence processors 220a, 220b, 220c. After the plurality of image capture devices 10a, 10n capture the image signals, the real-time image signals are pushed to the associated artificial intelligence processing device through the third network interface 120a, 120 n. At this time, the plurality of artificial intelligence processing devices 20a, 20b, 20c receive the image signals through the plurality of second network interfaces 210a, 210b, 210c, process the image signals through the plurality of artificial intelligence processors 220a, 220b, 220c, for example, detect the target object, and send the detected target object to the cloud device 30 in the form of an "event" through the plurality of second network interfaces 210a, 210b, 210c. Through the mode, not only can the image signal be intelligently processed, but also the structured data after the intelligent processing can be sent to the cloud end device 30, the cloud end device 30 analyzes the data, and the network bandwidth pressure of the cloud end artificial intelligent detection is reduced when the huge calculation force pressure required by the cloud end artificial intelligent detection is reduced, and the image signal is acquired by a plurality of image acquisition devices 10a, 10.
Optionally, the plurality of artificial intelligence processors 220a, 220b, 220c comprises a plurality of configuration modules 221a, 221b, 221c connected to the plurality of second network interfaces 210a, 210b, 210c, wherein the plurality of configuration modules 221a, 221b, 221c are configured to send second registration information related to the plurality of artificial intelligence processing devices 20a, 20b, 20c to the first network interface 310 via the plurality of second network interfaces 210a, 210b, 210c.
Specifically, referring to fig. 1, the plurality of artificial intelligence processors 220a, 220b, 220c include a plurality of configuration modules 221a, 221b, 221c, and after the plurality of artificial intelligence processors 220a, 220b, 220c are powered on, the configuration modules 221a, 221b, 221c automatically send 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 intelligent processing device can be quickly registered with the cloud device 30, so that the artificial intelligent processing device can process the N paths of image acquisition devices in real time after the artificial intelligent processing device is quickly registered, and the artificial intelligent processing device is elastically registered, elastically expanded and elastically calculated.
Optionally, the cloud service module 320 includes a management sub-module 321 and an association sub-module 322 connected to the management sub-module 321, wherein the management sub-module 321 is configured to provide registration, deregistration, modification, query services for the plurality of image capture devices 10a,..10 n and the plurality of artificial intelligence processing devices 20a, 20b, 20 c; and an association sub-module 322 configured to associate the registered plurality of image capture devices 10a, 10n with respective ones of the plurality of artificial intelligence processing devices 20a, 20b, 20c, respectively.
Specifically, referring to fig. 1, the cloud service module 320 includes a management sub-module 321 and an association sub-module 322. Wherein, through management sub-module 321, provide registration, cancellation, modification, inquiry service to a plurality of image acquisition devices 10a, & gt, 10n and a plurality of artificial intelligence processing devices 20a, 20b, 20c, thereby can elastically increase, delete artificial intelligence processing devices and can elastically increase, delete the number of cameras, reached the purpose of expansion as required and intelligent as required. In addition, the registered plurality of image capturing devices 10a, 10n are respectively associated with corresponding artificial intelligence processing devices in the plurality of artificial intelligence processing devices 20a, 20b, 20c through the association sub-module 322, so that artificial intelligence processing capability is configured for the image capturing devices, and the intellectualization of the image capturing devices is realized.
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 match the plurality of image capturing devices 10a,..10 n and the plurality of artificial intelligence processing devices 20a, 20b, 20c, and send the matching result to the IP address issuing unit 3222; and the IP address issuing unit 3222 is configured to issue the IP addresses of the plurality of image capturing devices 10a, & gt, 10n to the plurality of matched artificial intelligence processing devices 20a, 20b, 20c through the first network interface 310 according to the matching result received from the matching unit 3221, and the artificial intelligence processing devices 20a, 20b, 20c start to receive the image data of the plurality of image capturing devices 10a, & gt, 10n and perform artificial intelligence processing after receiving the IP addresses of the plurality of image capturing devices 10a, & gt, 10 n.
Specifically, referring to fig. 1, the association sub-module 322 includes a matching unit 3221 and an IP address issuing unit 3222. The plurality of image capturing devices 10a, & gt, 10n and the plurality of artificial intelligence processing devices 20a, 20b, 20c are matched by the matching unit 3221, i.e., the plurality of image capturing devices 10a, & gt, 10n and the plurality of artificial intelligence processing devices 20a, 20b, 20c are matched according to the processing capability of each artificial intelligence processing device and the image capturing capability of the image capturing device. After the matching is completed, the IP addresses of the plurality of image capturing devices 10a, the first network interface 310 are issued to the plurality of matched artificial intelligence processing devices 20a, 20b, and 20c through the IP address issuing unit 3222, and the plurality of artificial intelligence processing devices 20a, 20b, and 20c establish communication between the artificial intelligence processing devices and the image capturing devices according to the received IP addresses, and begin to receive image data of the plurality of image capturing devices 10a, the first network interface 310, and perform artificial intelligence processing.
Optionally, the cloud service module 320 further comprises a monitoring sub-module 323, the monitoring sub-module 323 being configured to monitor the operational status of the plurality of image capturing devices 10a,..10 n and the plurality of artificial intelligence processing devices 20a, 20b, 20c.
Specifically, referring to fig. 1, the cloud service module 320 further includes a monitoring sub-module 323, and the monitoring sub-module 323 monitors the operation states of the plurality of image capturing devices 10a, the image capturing devices 10n and the plurality of artificial intelligence processing devices 20a, 20b and 20c, so that the image capturing devices or the artificial intelligence processing devices with abnormal operation states can be timely found and processed, and the stable operation of the whole system is ensured.
Optionally, the cloud service module 320 further includes a dynamic configuration sub-module 324 connected to the monitoring sub-module 323, the dynamic configuration sub-module 324 configured to re-associate the plurality of image capture devices 10a,..10 n and/or the plurality of artificial intelligence processing devices 20a, 20b, 20c with the abnormal operating state.
Specifically, referring to fig. 1, the cloud service module 320 further includes a dynamic configuration sub-module 324 connected to the monitoring sub-module 323. In the event that the monitoring sub-module 323 monitors that the operating state of the image capturing device or the artificial intelligence processing device is abnormal, an abnormality signal is sent to the dynamic configuration sub-module 324. At this point, the dynamic configuration sub-module 324 may re-associate the plurality of image capture devices 10a, &..10 n and/or the plurality of artificial intelligence processing devices 20a, 20b, 20c. For example, referring to FIG. 1, in the event of damage to the artificial intelligence processing device 20a, the monitoring sub-module 323 re-associates the plurality of image capture devices 10a, 10b, and 10c to other artificial intelligence processing devices (e.g., artificial intelligence processing device 20 b) that are in normal operating conditions and yet have spare processing capabilities. Alternatively, in the event that image capture device 10a is damaged, monitoring sub-module 323 disassociates image capture device 10a from artificial intelligence processing device 20a and re-associates the other image capture devices for artificial intelligence processing device 20 a. By the method, the purposes of real-time monitoring and dynamically associating the image acquisition equipment with the artificial intelligence processing equipment according to the monitoring result are achieved.
Optionally, the cloud service module 320 further includes an analysis sub-module 325, where the analysis sub-module 325 is configured to analyze the processing results sent by the plurality of artificial intelligence processing devices 20a, 20b, 20c. Therefore, the cloud device 30 has the capability of analyzing the processing result uploaded by the artificial intelligence processing device, and can also visually display the result obtained by analysis.
Optionally, the plurality of image capturing devices 10a, 10n include a plurality of cameras 110a, 110n, and a plurality of third network interfaces 120a, 120n connected to the plurality of cameras 110a, 110n, wherein the plurality of cameras 110a, 110n are configured to capture image signals and transmit the captured image signals to the plurality of third network interfaces 120a, 120n; and a plurality of third network interfaces 120a, 120n for receiving image signals from the plurality of cameras 110a, 110n and transmitting the image signals to the associated plurality of artificial intelligence processing devices 20a, 20b, 20c. Thus, the plurality of image capturing devices 10a, 10n may capture image signals by the plurality of cameras 110a, 110n, and transmit the captured image signals to the associated plurality of artificial intelligence processing devices 20a, 20b, 20c via the plurality of third network interfaces 120a, 120n, and the plurality of artificial intelligence processing devices 20a, 20b, 20c perform processing of the image signals.
Further, referring to fig. 2, according to a second aspect of the present embodiment 1, there is provided a method for managing an artificial intelligence processing device, including:
s202: matching a plurality of image acquisition devices with a plurality of artificial intelligent processing devices, wherein the artificial intelligent processing devices are used for processing images acquired by the image acquisition devices; and
s204: and respectively associating the plurality of image acquisition devices with corresponding artificial intelligence processing devices in the plurality of artificial intelligence processing devices according to the matching result.
Optionally, before the operation of matching the plurality of image capturing devices with the plurality of artificial intelligence processing devices, the method further comprises: receiving a registration request associated with a plurality of image capture devices, wherein the registration request includes first registration information associated with the plurality of image capture devices; receiving second registration information from the plurality of artificial intelligence processing devices related to the plurality of artificial intelligence processing devices; and registering the plurality of image acquisition devices and the plurality of artificial intelligence processing devices according to the first registration information and the second registration information.
Optionally, the method further comprises: further comprises: receiving processing results related to images acquired 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 comprises: monitoring the running states of a plurality of image acquisition devices and a plurality of artificial intelligence processing devices; according to the monitoring result, re-associating other artificial intelligent processing equipment with normal running states for the image acquisition equipment associated with the artificial intelligent processing equipment with abnormal running states; and re-associating other image acquisition devices with normal running states for the artificial intelligence processing device associated with the image acquisition device with abnormal running states according to the monitoring result.
The method for managing an artificial intelligent processing device according to the second aspect of the present embodiment may refer to all descriptions in the cloud device 30 provided in the first aspect, and may implement all functions of the cloud device 30 provided in the first aspect, which is not described herein. Further, according to a third aspect of the present embodiment, there is provided a storage medium. The storage medium includes a stored program, wherein the method of any of the above is performed by a processor when the program is run.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention should be subject to 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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