CN109871816B - Internet of things-based image rapid identification method and device - Google Patents

Abstract

The invention discloses a fast image identification method based on the Internet of Things, comprising the following steps: collecting a plurality of images to be identified by a mobile image acquisition device; waiting for a frequency band absolute priority indication message broadcast by a server; based on the frequency band by the mobile image acquisition device The absolute priority indication message is used to determine the priority of each frequency band in the multiple frequency bands; the mobile image acquisition device sends the collected multiple images to be identified to the server on the frequency band with the highest priority; In the process of collecting multiple images to be identified, the mobile image acquisition device determines whether the frequency band-specific priority indicator sent by the server is received; if the frequency band-specific priority indicator is received, the mobile image acquisition device determines the frequency band-specific priority level indicator to switch to one of the indicated frequency bands; the mobile image acquisition device continues to send the collected multiple images to be identified to the server on the switched to one frequency band.

Description

Method and device for fast image recognition based on Internet of Things

technical field

The present invention relates to the technical field of image recognition, in particular to a method and device for fast image recognition based on the Internet of Things.

Background technique

The Internet of Things is an important part of the new generation of information technology, and it is also an important development stage in the "informationization" era. Its English name is: "Internet of things (IoT)". As the name suggests, the Internet of Things is the Internet of things connected. This has two meanings: First, the core and foundation of the Internet of Things is still the Internet, which is an extended and expanded network based on the Internet; Exchange and communication, that is, things are interrelated.

Image recognition refers to the technology of using computers to process, analyze and understand images to identify targets and objects in different patterns. In general industrial use, an industrial camera is used to take pictures, and then software is used for further identification and processing according to the grayscale difference of the pictures. The image recognition software is represented by Cognex in foreign countries, and the domestic representatives are in Figure Intelligence. In addition, in geography, it refers to the technology of classifying remote sensing images.

The prior art CN206442462U discloses an intelligent image recognition system based on the Internet of Things and cloud computing, which belongs to the field of Internet of Things operation systems. It includes an image acquisition device, a core switch, an image recognition server, a client, an intelligent video surveillance system, a video command system of the command center of the Ministry of Public Security, and an emergency command and dispatch system. The image acquisition device is connected to the core switch, and the core switch is connected to The image recognition server, the image server is connected to the client, the intelligent video surveillance system, the emergency command system and the video command system of the Ministry of Public Security Command Center are all connected to the core switch through a local area network, and the emergency command and dispatch system is connected to Splicing the display.

Prior art CN108305424A discloses an alarm system based on the Internet of Things and image recognition, including a monitoring terminal and a processing center, the monitoring terminal includes a plurality of cameras, a microprocessor and a wireless communication module, and the plurality of cameras are installed in the The monitored area is connected with the microprocessor through a data line, the microprocessor is connected with the wireless communication module through a data line, the processing center includes an alarm controller and a wireless receiving module, and the alarm controller is connected with the wireless communication module. The wireless receiving module is connected through a data line, and the wireless receiving module and the wireless communication module perform one-to-one wireless communication.

Prior art CN208227167U discloses an Internet of Things image recognition terminal, comprising a main control module with image recognition function, a camera module, an Internet of Things communication module and a power supply module; the power supply end of the main control module is connected to the output of the power supply module The first power control terminal of the main control module is connected to the power supply terminal of the camera module; the second power control terminal of the main control module is connected to the power supply terminal of the Internet of Things communication module; The serial ports are respectively connected to the camera module and the IoT communication module.

The information disclosed in this Background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person of ordinary skill in the art.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a method and device for fast image recognition based on the Internet of Things, which can overcome the shortcomings of the prior art.

In order to achieve the above object, the present invention provides a method for fast image recognition based on the Internet of Things, which includes the following steps: collecting a plurality of images to be recognized by a mobile image acquisition device, wherein the mobile image acquisition device is configured to be able to operate in multiple frequency bands. communicate with the server on the server; wait for a frequency band absolute priority indication message broadcast by the server, wherein the frequency band absolute priority indication message is periodically generated by the server, and wherein the frequency band absolute priority indication message indicates a frequency band of the plurality of frequency bands. The priority of each frequency band; the mobile image acquisition device determines the priority of each frequency band in the plurality of frequency bands based on the frequency band absolute priority indication message; the mobile image acquisition device sends a frequency band with the highest priority to the server The collected multiple images to be identified; in the process of sending the collected multiple images to be identified to the server, the mobile image acquisition device determines whether the frequency band-specific priority indicator sent by the server is received, wherein the frequency band-specific priority indicator The indicator is sent to the mobile image capture device, and wherein the frequency band-specific priority indicator indicates one frequency band in a plurality of frequency bands for the mobile image capture device; if the frequency band-specific priority indicator sent by the server is received, the mobile image The acquisition device switches to the indicated one frequency band based on the frequency band-specific priority indicator; the moving image acquisition device continues to send the collected multiple images to be identified to the server on the switched to one frequency band; The recognition algorithm recognizes a plurality of images to be recognized, and sends the recognition results to the mobile image acquisition device.

In a preferred embodiment, the method for fast image recognition based on the Internet of Things further includes the following steps: after a predetermined time, if the transmission of multiple images to be recognized has not been completed, the mobile image acquisition device switches from a frequency band to which it is switched. Return to one frequency band with the highest priority indicated by the frequency band absolute priority indication message; and send a plurality of images to be identified to the server on the one frequency band with the highest priority by the mobile image acquisition device.

In a preferred embodiment, the frequency band absolute priority indication message is generated by the following steps: the server broadcasts the measurement command and the reference signal to the plurality of moving image capture devices; the measurement command is received by each of the plurality of moving image capture devices The mobile image acquisition device measures the strength of the reference signal received from the server based on the measurement command; the mobile image acquisition device generates a measurement result based on the strength of the received reference signal, and sends the measurement result to the server; and by the server The Band Absolute Priority Indication message is generated based on the measurements and the total amount of data received and transmitted by the server on each of the plurality of bands.

In a preferred embodiment, the priority of each of the plurality of frequency bands is positively related to the strength of the received reference signal, and the priority of each of the plurality of frequency bands is proportional to the priority of each of the plurality of frequency bands. The total amount of data received on each frequency band is negatively correlated.

In a preferred embodiment, the frequency band-specific priority indicator is generated by periodically monitoring, by the server, the total amount of data received and transmitted by the server on each of the plurality of frequency bands; The total amount of data received and transmitted on each of the frequency bands exceeds the threshold, the server determines one of the plurality of frequency bands with the second highest priority based on the frequency band absolute priority indication message; and the server generates a frequency band dedicated to the frequency band. A priority indicator, wherein the band-specific priority indicator indicates one of the plurality of frequency bands with the second highest priority.

The present invention also provides a fast image recognition device based on the Internet of Things, comprising: a unit for collecting a plurality of images to be recognized by a mobile image acquisition device, wherein the mobile image acquisition device is configured to be able to communicate with The server communicates; means for waiting for a frequency band absolute priority indication message broadcast by the server, wherein the frequency band absolute priority indication message is periodically generated by the server, and wherein the frequency band absolute priority indication message indicates a plurality of frequency bands The priority of each frequency band in the unit; used by the mobile image acquisition device to determine the priority of each frequency band in the plurality of frequency bands based on the frequency band absolute priority indication message; used by the mobile image acquisition device in the priority A unit that sends the collected multiple images to be identified to the server on the highest frequency band; in the process of sending the collected multiple images to be identified to the server, the mobile image acquisition device determines whether the frequency band sent by the server is received. a unit of dedicated priority indicator, wherein the frequency band-specific priority indicator is sent to the mobile image capture device, and wherein the frequency band-specific priority indicator indicates one of a plurality of frequency bands for the mobile image capture device; for use if After receiving the frequency band-specific priority indicator sent by the server, the mobile image acquisition device switches to the unit on the indicated frequency band based on the frequency band-specific priority indicator; it is used for the mobile image acquisition device to switch to a unit in the frequency band. A unit for continuing to send the collected multiple images to be recognized to the server on the frequency band; and a unit for the server to recognize the multiple images to be recognized based on an image recognition algorithm, and to send the recognition result to the mobile image acquisition device.

In a preferred embodiment, the device for fast image recognition based on the Internet of Things includes: after a predetermined time, if the transmission of a plurality of images to be recognized is not completed, the mobile image acquisition device returns from the switched one frequency band. to a unit on the highest priority frequency band indicated by the frequency band absolute priority indication message; and a unit for sending a plurality of images to be identified to the server by the mobile image acquisition device on the highest priority frequency band.

In a preferred embodiment, the frequency band absolute priority indication message is generated by the following steps: the server broadcasts the measurement command and the reference signal to the plurality of moving image capture devices; the measurement command is received by each of the plurality of moving image capture devices The mobile image acquisition device measures the strength of the reference signal received from the server based on the measurement command; the mobile image acquisition device generates a measurement result based on the strength of the received reference signal, and sends the measurement result to the server; and by the server The Band Absolute Priority Indication message is generated based on the measurements and the total amount of data received and transmitted by the server on each of the plurality of bands.

In a preferred embodiment, the priority of each of the plurality of frequency bands is positively related to the strength of the received reference signal, and the priority of each of the plurality of frequency bands is proportional to the priority of each of the plurality of frequency bands. The total amount of data received on each frequency band is negatively correlated.

In a preferred embodiment, the frequency band-specific priority indicator is generated by periodically monitoring, by the server, the total amount of data received and transmitted by the server on each of the plurality of frequency bands; The total amount of data received and transmitted on each of the frequency bands exceeds the threshold, the server determines one of the plurality of frequency bands with the second highest priority based on the frequency band absolute priority indication message; and the server generates a frequency band dedicated to the frequency band. A priority indicator, wherein the band-specific priority indicator indicates one of the plurality of frequency bands with the second highest priority.

Compared with the prior art, the method and device for fast image recognition based on the Internet of Things of the present invention have the following advantages: As mentioned above, the Internet of Things is an important part of the new generation of information technology, and it is also an important development in the "informationization" era. stage. Its English name is: "Internet of things (IoT)". Image recognition refers to the technology of using computers to process, analyze and understand images to identify targets and objects in different patterns. In general industrial use, an industrial camera is used to take pictures, and then software is used for further identification and processing according to the grayscale difference of the pictures. The Internet of Things, image recognition and artificial intelligence closely related to image recognition are all indispensable components in the high-end manufacturing industry advocated by the state. How to combine the three organically is the current technical difficulty and hotspot. Aiming at the defects of the current prior art, the present invention proposes a method and device for fast image recognition based on the Internet of Things. The method of the present invention fully considers the characteristics of multi-band transmission in advanced wireless communication systems, and proposes an adaptive In the method for controlling the wireless terminal to select the frequency band, by using the method of the present invention, the wireless terminal signal transmission is more stable and the frequency band utilization rate is higher.

Description of drawings

FIG. 1 is a flowchart of a method for fast image recognition based on the Internet of Things according to an embodiment of the present invention.

Detailed ways

The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific embodiments.

Unless expressly stated otherwise, throughout the specification and claims, the term "comprising" or its conjugations such as "comprising" or "comprising" and the like will be understood to include the stated elements or components, and Other elements or other components are not excluded.

Example 1

FIG. 1 is a flowchart of a method for fast image recognition based on the Internet of Things according to an embodiment of the present invention. As shown in the figure, the method for fast image recognition based on the Internet of Things of the present invention includes the following steps:

Step 101: Collect a plurality of images to be identified by a mobile image acquisition device, wherein the mobile image acquisition device is configured to be able to communicate with a server on multiple frequency bands;

Step 102: Waiting for a frequency band absolute priority indication message broadcast by the server, wherein the frequency band absolute priority indication message is periodically generated by the server, and wherein the frequency band absolute priority indication message indicates each frequency band in the plurality of frequency bands the priority;

Step 103: The priority of each frequency band in the plurality of frequency bands is determined by the mobile image acquisition device based on the frequency band absolute priority indication message;

Step 104: Send the collected multiple images to be identified to the server on a frequency band with the highest priority by the mobile image acquisition device;

Step 105: in the process of sending the collected images to the server to be identified, the mobile image acquisition device determines whether the frequency band-specific priority indicator sent by the server is received, wherein the frequency-specific priority indicator is sent to the mobile image acquisition device. sent by the device, and wherein the frequency band-specific priority indicator indicates one of a plurality of frequency bands for the mobile image capture device;

Step 106: if the frequency-specific priority indicator sent by the server is received, the mobile image acquisition device switches to the indicated frequency band based on the frequency-specific priority indicator;

Step 107: Continue to send the collected multiple images to be identified to the server on the switched frequency band by the mobile image acquisition device; and

Step 108: The server recognizes the plurality of images to be recognized based on the image recognition algorithm, and sends the recognition result to the mobile image acquisition device.

The image recognition algorithm can be any algorithm known in the art, such as the algorithm introduced in CN105096244B, the method introduced in CN109376781A, the method introduced in CN105590082B, the method introduced in US20190025985A1 or the algorithm introduced in textbooks related to image processing, etc. . The image recognition algorithm itself is not the focus of this application and will not be introduced in detail.

Example 2

In a preferred embodiment, the method for fast image recognition based on the Internet of Things further includes the following steps: after a predetermined time, if the transmission of multiple images to be recognized has not been completed, the mobile image acquisition device switches from a frequency band to which it is switched. Return to a frequency band with the highest priority indicated by the frequency band absolute priority indication message; the mobile image acquisition device sends a plurality of images to be identified to the server on the frequency band with the highest priority.

In a preferred embodiment, the frequency band absolute priority indication message is generated by the following steps: the server broadcasts the measurement command and the reference signal to the plurality of moving image capture devices; the measurement command is received by each of the plurality of moving image capture devices The mobile image acquisition device measures the strength of the reference signal received from the server based on the measurement command; the mobile image acquisition device generates a measurement result based on the strength of the received reference signal, and sends the measurement result to the server; and by the server The Band Absolute Priority Indication message is generated based on the measurements and the total amount of data received and transmitted by the server on each of the plurality of bands.

Example 3

In a preferred embodiment, the priority of each of the plurality of frequency bands is positively related to the strength of the received reference signal, and the priority of each of the plurality of frequency bands is proportional to the priority of each of the plurality of frequency bands. The total amount of data received on each frequency band is negatively correlated. Wherein, the so-called "positive correlation" and "negative correlation" can be realized by, for example, the following specific methods: establishing a first weight coefficient b corresponding to the strength a of the received reference signal; The second weight coefficient d of the total amount of data c received, and then calculate the difference e between the two, e=ab-cd, the larger the e value, the higher the priority of the corresponding frequency band, and the correspondence between the e value and the priority can be Obtained in advance by establishing a mapping table.

In a preferred embodiment, the frequency band-specific priority indicator is generated by periodically monitoring, by the server, the total amount of data received and transmitted by the server on each of the plurality of frequency bands; The total amount of data received and sent on each of the frequency bands exceeds the threshold, and the server determines one frequency band of the plurality of frequency bands with the second highest priority based on the frequency band absolute priority indication message; the server generates a frequency band-specific priority level indicator, wherein the band-specific priority indicator indicates one of the plurality of frequency bands with the second highest priority.

Example 4

The present invention also provides an image fast identification device based on the Internet of Things, and the image fast identification device based on the Internet of Things includes:

a unit for collecting a plurality of images to be identified by a mobile image capture device, wherein the mobile image capture device is configured to be able to communicate with a server on a plurality of frequency bands;

means for waiting for a frequency band absolute priority indication message broadcast by the server, wherein the frequency band absolute priority indication message is periodically generated by the server, and wherein the frequency band absolute priority indication message indicates each of the plurality of frequency bands the priority of the frequency band;

a unit for determining the priority of each frequency band in the plurality of frequency bands by the mobile image acquisition device based on the frequency band absolute priority indication message;

a unit for sending the collected multiple images to be identified to the server on a frequency band with the highest priority by the mobile image acquisition device;

A unit for determining whether a frequency band-specific priority indicator sent by the server is received by the mobile image acquisition device during the process of sending the collected multiple images to be identified to the server, wherein the frequency band-specific priority indicator is directed to the moving image sent by the acquisition device, and wherein the frequency band-specific priority indicator indicates one of a plurality of frequency bands for the moving image acquisition device;

If the frequency band-specific priority indicator sent by the server is received, the mobile image acquisition device switches to the unit on the indicated one frequency band based on the frequency band-specific priority indicator;

a unit for continuing to transmit the collected plurality of images to be identified to the server on a frequency band switched to by the mobile image capture device; and

A unit for the server to identify a plurality of images to be identified based on an image identification algorithm, and to send the identification results to the mobile image acquisition device.

Example 5

In a preferred embodiment, the device for fast image recognition based on the Internet of Things includes: after a predetermined time, if the transmission of a plurality of images to be recognized is not completed, the mobile image acquisition device returns from the switched one frequency band. to a unit on the highest priority frequency band indicated by the frequency band absolute priority indication message; and a unit for sending a plurality of images to be identified to the server by the mobile image acquisition device on the highest priority frequency band.

In a preferred embodiment, the frequency band absolute priority indication message is generated by the following steps: the server broadcasts the measurement command and the reference signal to the plurality of moving image capture devices; the measurement command is received by each of the plurality of moving image capture devices The mobile image acquisition device measures the strength of the reference signal received from the server based on the measurement command; the mobile image acquisition device generates a measurement result based on the strength of the received reference signal, and sends the measurement result to the server; and by the server The Band Absolute Priority Indication message is generated based on the measurements and the total amount of data received and transmitted by the server on each of the plurality of bands.

Example 6

In a preferred embodiment, the priority of each of the plurality of frequency bands is positively related to the strength of the received reference signal, and the priority of each of the plurality of frequency bands is proportional to the priority of each of the plurality of frequency bands. The total amount of data received on each frequency band is negatively correlated.

In a preferred embodiment, the frequency band-specific priority indicator is generated by periodically monitoring, by the server, the total amount of data received and transmitted by the server on each of the plurality of frequency bands; The total amount of data received and transmitted on each of the frequency bands exceeds the threshold, the server determines one of the plurality of frequency bands with the second highest priority based on the frequency band absolute priority indication message; and the server generates a frequency band dedicated to the frequency band. A priority indicator, wherein the band-specific priority indicator indicates one of the plurality of frequency bands with the second highest priority.

In one or more examples, the functions described can be implemented in hardware, software, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium and executed by a hardware-based processing unit. Computer-readable media may include computer-readable storage media (corresponding to tangible media such as data storage media) or communication media including any medium that facilitates transfer of a computer program from one place to another, for example, according to a communication protocol . In this manner, a computer-readable medium may generally correspond to (1) a tangible computer-readable storage medium that is non-transitory, or (2) a communication medium such as a signal or carrier wave. Data storage media can be any available media that can be accessed by one or more computers or one or more processors to retrieve instructions, code and/or data structures for implementation of the techniques described in this disclosure. The computer program product may comprise a computer-readable medium.

By way of example and not limitation, these computer-readable storage media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage devices, magnetic disk storage devices or other magnetic storage devices, flash memory, or may be used to store instructions or data in the form of the desired program code in the form of a structure and any other medium that can be accessed by a computer. Also, any connection is properly termed a computer-readable medium. For example, if coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies (eg, infrared, radio, and microwave) are used to transmit instructions from a website, server, or other remote source, coaxial cable, Fiber optic cable, twisted pair, DSL, or wireless technologies (eg, infrared, radio, and microwave) are included in the definition of media. It should be understood, however, that computer-readable storage media and data storage media do not include connections, carrier waves, signals, or other transitory media, but are instead directed to non-transitory, tangible storage media. As used herein, magnetic disks and optical disks include compact disks (CDs), laser disks, optical disks, digital video disks (DVDs), floppy disks, and blu-ray disks, where disks usually reproduce data magnetically, while disks reproduce data optically with lasers Regenerate data. Combinations of the above should also be included within the scope of computer-readable media.

One or more processors may be, for example, one or more digital signal processors (DSPs), general purpose microprocessors, application specific integrated circuits (ASICs), field programmable logic arrays (FPGAs), or other equivalent integrated or discrete logic circuits to execute the command. Accordingly, the term "processor," as used herein may refer to any of the foregoing structure or any other structure suitable for implementation of the techniques described herein. Furthermore, in some aspects, the functionality described herein may be provided within dedicated hardware and/or software modules configured for encoding and decoding, or incorporated in a combined codec. The techniques may be implemented entirely in one or more circuits or logic elements.

The techniques of this disclosure may be implemented in a variety of devices or apparatuses, including a wireless handset, an integrated circuit (IC), or a collection of ICs (eg, a chip set). Various components, modules, or units are described in this disclosure to emphasize functional aspects of devices configured to perform the disclosed techniques, but do not necessarily require implementation by different hardware units. Rather, various units may be combined in codec hardware units, as described above, or through a collection of interoperable hardware units (including one or more processors as described above) in conjunction with appropriate software and and/or firmware to provide the unit.

The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. These descriptions are not intended to limit the invention to the precise form disclosed, and obviously many changes and modifications are possible in light of the above teachings. The exemplary embodiments were chosen and described for the purpose of explaining certain principles of the invention and their practical applications, to thereby enable one skilled in the art to make and utilize various exemplary embodiments and various different aspects of the invention. Choose and change. The scope of the invention is intended to be defined by the claims and their equivalents.

Claims (10)

1. an image fast identification method based on the Internet of Things, is characterized in that: the described image fast identification method based on the Internet of Things comprises the steps: collecting a plurality of images to be identified by a mobile image capture device, wherein the mobile image capture device is configured to communicate with a server on a plurality of frequency bands; waiting for a frequency band absolute priority indication message broadcast by the server, wherein the frequency band absolute priority indication message is periodically generated by the server, and wherein the frequency band absolute priority indication message indicates a plurality of frequency bands the priority of each frequency band in; determining the priority of each frequency band in the plurality of frequency bands by the mobile image acquisition device based on the frequency band absolute priority indication message; Send the collected multiple images to be identified to the server on a frequency band with the highest priority by the mobile image acquisition device; In the process of sending the collected multiple images to be identified to the server, the mobile image acquisition device determines whether the frequency band-specific priority indicator sent by the server is received, wherein the frequency band-specific priority indicator is directed to the server. sent by the moving image capturing device, and wherein the frequency band-specific priority indicator indicates one of a plurality of frequency bands for the moving image capturing device; If the frequency-specific priority indicator sent by the server is received, the mobile image acquisition device switches to the indicated frequency band based on the frequency-specific priority indicator; continuing to send the collected plurality of images to be identified to the server on the switched frequency band by the mobile image capturing device; and The plurality of images to be recognized are recognized by the server based on an image recognition algorithm, and the recognition result is sent to the mobile image acquisition device. 2. The method for fast image recognition based on the Internet of Things as claimed in claim 1, wherein the method for fast image recognition based on the Internet of Things further comprises the steps: After a predetermined time, if the transmission of the plurality of images to be identified is not completed, the moving image acquisition device returns from the switched one frequency band to the priority indicated by the frequency band absolute priority indication message on the highest frequency band; and The plurality of images to be identified are sent to the server by the mobile image acquisition device on the frequency band with the highest priority. 3. The method for quickly identifying images based on the Internet of Things as claimed in claim 2, wherein the frequency band absolute priority indication message is generated through the following steps: broadcasting measurement commands and reference signals by the server to a plurality of mobile image acquisition devices; The moving image capturing apparatus that has received the measurement command by each of the plurality of moving image capturing apparatuses measures the strength of the reference signal received from the server based on the measurement command; generating, by the mobile image capture device, based on the strength of the received reference signal, a measurement result and sending the measurement result to the server; and The frequency band absolute priority indication message is generated by the server based on the measurements and the total amount of data received and transmitted by the server on each of the plurality of frequency bands. 4. The method for fast image identification based on the Internet of Things according to claim 3, wherein the priority of each frequency band in the plurality of frequency bands is positively correlated with the strength of the received reference signal, and The priority of each of the plurality of frequency bands is inversely related to the total amount of data received on each of the plurality of frequency bands. 5. The method for fast image identification based on the Internet of Things as claimed in claim 4, wherein the frequency band-specific priority indicator is generated by the following steps: Periodically monitoring, by the server, the total amount of data received and transmitted by the server on each of the plurality of frequency bands; If it is detected that the total amount of data received and transmitted by the server on each of the plurality of frequency bands exceeds a threshold, the server determines, based on the frequency band absolute priority indication message, that the server has the second highest priority one of a plurality of frequency bands; and A band-specific priority indicator is generated by the server, wherein the band-specific priority indicator indicates one of the plurality of frequency bands having the second highest priority. 6. A device for rapid image identification based on the Internet of Things, characterized in that: the device for rapid identification of images based on the Internet of Things comprises: a unit for collecting a plurality of images to be identified by a mobile image capture device, wherein the mobile image capture device is configured to be able to communicate with a server on a plurality of frequency bands; means for waiting for a frequency band absolute priority indication message broadcast by the server, wherein the frequency band absolute priority indication message is periodically generated by the server, and wherein the frequency band absolute priority indication message indicating the priority of each of the plurality of frequency bands; a unit for determining the priority of each of the plurality of frequency bands by the mobile image acquisition device based on the frequency band absolute priority indication message; a unit for sending the collected plurality of images to be identified to the server on a frequency band with the highest priority by the mobile image acquisition device; A unit for determining whether a frequency band-specific priority indicator sent by the server is received by the mobile image acquisition device during the process of sending the collected images to the server, wherein the frequency-specific priority indicator A level indicator is sent to the moving image capture device, and wherein the frequency band-specific priority indicator indicates one of a plurality of frequency bands for the moving image capture device; If the frequency band-specific priority indicator sent by the server is received, the mobile image acquisition device switches to the unit on the indicated one frequency band based on the frequency band-specific priority indicator; a unit for continuing to transmit the collected plurality of images to be identified to the server on a frequency band switched to by the mobile image capture device; and A unit for the server to recognize the plurality of images to be recognized based on an image recognition algorithm, and to send the recognition result to the mobile image acquisition device. 7. The device for fast image recognition based on the Internet of Things as claimed in claim 6, wherein the device for fast recognition of images based on the Internet of Things comprises: After a predetermined time, if the transmission of the plurality of images to be identified is not completed, the moving image acquisition device returns to the frequency band indicated by the frequency band absolute priority indication message from the switched frequency band. the unit on the highest priority frequency band; and A unit for sending the plurality of images to be identified to the server by the mobile image acquisition device on the one frequency band with the highest priority. 8. The device for fast image identification based on the Internet of Things as claimed in claim 7, wherein the frequency band absolute priority indication message is generated by the following steps: broadcasting measurement commands and reference signals by the server to a plurality of mobile image acquisition devices; The moving image capturing apparatus that has received the measurement command by each of the plurality of moving image capturing apparatuses measures the strength of the reference signal received from the server based on the measurement command; generating, by the mobile image capture device, based on the strength of the received reference signal, a measurement result and sending the measurement result to the server; and The frequency band absolute priority indication message is generated by the server based on the measurements and the total amount of data received and transmitted by the server on each of the plurality of frequency bands. 9 . The device for fast image identification based on the Internet of Things according to claim 8 , wherein the priority of each frequency band in the plurality of frequency bands is positively correlated with the strength of the received reference signal, and The priority of each of the plurality of frequency bands is inversely related to the total amount of data received on each of the plurality of frequency bands. 10. The device for rapid image identification based on the Internet of Things according to claim 9, wherein the frequency band-specific priority indicator is generated by the following steps: Periodically monitoring, by the server, the total amount of data received and transmitted by the server on each of the plurality of frequency bands; If it is detected that the total amount of data received and transmitted by the server on each of the plurality of frequency bands exceeds a threshold, the server determines, based on the frequency band absolute priority indication message, that the server has the second highest priority one of a plurality of frequency bands; and A band-specific priority indicator is generated by the server, wherein the band-specific priority indicator indicates one of the plurality of frequency bands having the second highest priority.

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