CN110809103A - Intelligent edge micro server - Google Patents
Intelligent edge micro server Download PDFInfo
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- CN110809103A CN110809103A CN201911159705.7A CN201911159705A CN110809103A CN 110809103 A CN110809103 A CN 110809103A CN 201911159705 A CN201911159705 A CN 201911159705A CN 110809103 A CN110809103 A CN 110809103A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/44—Decoders specially adapted therefor, e.g. video decoders which are asymmetric with respect to the encoder
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Abstract
The embodiment of the invention provides an intelligent edge micro server, which comprises: the system comprises a video receiver, a video decoder, a processor and a transmission module; the video receiver is used for receiving the video shot by the camera and sending the video to the video decoder; the video decoder is used for carrying out video decoding on the video to obtain a picture of the video and sending the picture to the processor; the processor is used for carrying out picture analysis on the picture to obtain an analysis result, and marking the analysis result on the picture to obtain a marked picture marked with the analysis result; the transmission module is used for sending the labeling picture. By adopting the technical scheme provided by the embodiment of the invention, the analysis result of the picture of the video can be obtained without uploading the picture to the cloud for analysis, and the problem that the real-time performance and the flexibility are difficult to be considered in the prior art is solved.
Description
Technical Field
The invention relates to the technical field of video analysis, in particular to an intelligent edge micro server.
Background
Currently, in practical applications, intelligent analysis of monitored videos is often required, for example, an intelligent analysis system for videos may be used to analyze acquired videos so that a user can acquire analysis results. When the intelligent analysis system is used in traffic, public security, safety and other scenes, the intelligent analysis system has higher requirements on portability and flexibility.
There are two known technologies, one of which is to analyze an acquired video by a GPU (Graphics processing unit) server system to obtain an analysis result; and the other is that a set of embedded system is deployed at a position close to the camera, the face picture acquired by the embedded system is transmitted to the cloud through the network, the analysis is carried out at the cloud, and the result is transmitted back to the embedded system.
However, when the first technique is used, since a 1080TI (Titanium) graphics card is generally used in the GPU server, the volume of the GPU server is relatively large, and since the power consumption of the GPU server is relatively high, the GPU server has a relatively high heat dissipation requirement, on one hand, a heat dissipation fan needs to be arranged in the GPU server to dissipate heat, and the volume of the GPU server is further increased, so that the system has poor portability and flexibility; on the other hand, the GPU server generally needs to be deployed in a machine room, and heat is quickly dissipated by an air conditioner of the machine room; when the second technique is used, the requirement for network transmission is high, and the transmission process may be affected by the network quality, resulting in poor real-time performance of the system.
Disclosure of Invention
The embodiment of the invention aims to provide an intelligent edge micro server, which is used for solving the problem that the real-time performance and the flexibility are difficult to be considered in the prior art. The specific technical scheme is as follows:
the embodiment of the invention provides an intelligent edge micro server, which comprises a video receiver, a video decoder, a processor and a transmission module, wherein the video receiver is connected with the video decoder;
the video receiver is used for receiving the video shot by the camera and sending the video to the video decoder;
the video decoder is used for performing video decoding on the video to obtain a picture of the video and sending the picture to the processor;
the processor is used for carrying out picture analysis on the picture to obtain an analysis result, and marking the analysis result on the picture to obtain a marked picture marked with the analysis result;
the transmission module is used for sending the labeling picture.
Further, the video receiver includes at least one of a USB (Universal Serial Bus) interface, a wireless network receiver, and a wired network receiver;
the USB interface is connected with the USB camera and used for receiving the video shot by the USB camera;
the wireless network receiver is wirelessly connected with the camera with a wireless transmission function and is used for receiving the video shot by the camera;
the wired network receiver is in wired connection with the camera with the wired transmission function and is used for receiving the video shot by the camera.
Further, the video decoder is a multi-channel video decoder, and the multi-channel video decoder is used for decoding the obtained videos shot by the multiple cameras at the same time to obtain pictures of the videos.
Further, the method also comprises the following steps: a video encoder;
the video encoder is configured to perform video encoding on the obtained plurality of labeled pictures to obtain a video stream including the labeled pictures;
the transmission module is further configured to transmit the video stream.
Further, the transmission module is further configured to receive a configuration instruction and/or a query instruction, where the configuration instruction is an instruction for setting a working mode, and the query instruction is an instruction for querying whether the transmission module is in a normal state;
when the transmission module receives the configuration instruction, the configuration instruction is sent to the processor, so that the processor can set a working mode according to the configuration instruction;
and when the transmission module receives the query instruction, sending information whether the transmission module is in a normal state.
Further, the transmission module has a wired transmission function and/or a wireless transmission function.
Further, the system also comprises an on-board buffer used for buffering the analysis result.
Further, the system also comprises an SD (Secure Digital Memory Card) interface, wherein the SD interface is connected with an SD Card and is used for transmitting the analysis result to the SD Card.
Furthermore, the power supply device also comprises a built-in power supply module for supplying power.
The embodiment of the invention has the following beneficial effects:
the embodiment of the invention provides an intelligent edge micro server, which comprises a video receiver, a video decoder, a processor and a transmission module, wherein the video receiver is connected with the video decoder; the video receiver is used for receiving the video shot by the camera and sending the video to the video decoder; the video decoder is used for carrying out video decoding on the video to obtain a picture of the video and sending the picture to the processor; the processor is used for carrying out picture analysis on the picture to obtain an analysis result, and marking the analysis result on the picture to obtain a marked picture marked with the analysis result; the transmission module is used for sending the labeled picture; by adopting the technical scheme provided by the embodiment of the invention, the analysis result of the picture of the video can be obtained without uploading the picture to the cloud for analysis, and the problem that the real-time performance and the flexibility are difficult to be considered in the prior art is solved.
Of course, not all of the advantages described above need to be achieved at the same time in the practice of any one product or method of the invention.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of an intelligent edge microserver according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of another intelligent edge microserver according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of another intelligent edge microserver according to an embodiment of the present invention;
FIG. 4 is a front view of another intelligent edge microserver provided in an embodiment of the present invention;
FIG. 5 is a rear view of another intelligent edge microserver provided in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an intelligent edge micro server according to an embodiment of the present invention, where the server may include: a video receiver 1, a video decoder 2, a processor 3 and a transmission module 4; wherein:
the video receiver 1 is used for receiving the video shot by the camera and sending the video to the video decoder 2;
the video decoder 2 is configured to perform video decoding on the video to obtain a picture of the video, and send the picture to the processor 3;
the processor 3 is used for analyzing the picture to obtain an analysis result, and marking the analysis result on the picture to obtain a marked picture marked with the analysis result;
the transmission module 4 is used for sending the annotation picture.
By adopting the intelligent edge micro server provided by the embodiment of the invention, the obtained video can be subjected to video decoding to obtain the picture of the video, the analysis result of the picture can be directly obtained through the processor 3, the picture does not need to be uploaded to a cloud end for analysis, the analysis result of the picture of the video can be obtained, and the problem of poor real-time performance caused by poor network quality in the prior art is solved; and the volume is small, and the portability and the flexibility are strong.
The processor 3 may be an AI (Artificial Intelligence) chip, and the above functions of the processor 3 may be implemented by running various algorithms loaded thereon, which are all in the prior art; in an embodiment, each object on the picture may be obtained first, then each object on the picture is analyzed to obtain an analysis result of each object, and then the analysis result of each object is labeled on at least one picture with the object to obtain a labeled picture; the analysis result may be object classification of each object of the picture, or face attribute analysis and/or face recognition of an object with face features on the basis of object classification of each object of the picture; this is achieved in the prior art and is not described in detail herein.
Specifically, the transmission module 4 may send the annotation picture to the remote device, and the user may watch the annotation picture marked with the analysis result through the remote device, and the remote device displays the annotation picture, where the remote device may be a computer, and the remote user may receive the annotation picture sent by the transmission module 4 through a corresponding APP (Application program) installed on the computer. Of course, the remote device may also be other devices, and the application is not limited herein.
Further, the video receiver 1 may include at least one of a USB interface, a wireless network receiver, and a wired network receiver;
in one embodiment, as shown in fig. 4, the intelligent edge micro server further includes a housing 14, the video receiver 1 is a USB interface 103, the USB interface 103 may be disposed on a side surface of the housing 14, and the USB interface 103 is connected to the USB camera for receiving a video captured by the USB camera, and may receive a video captured by the USB camera in a non-network scene.
In another embodiment, the video receiver 1 is a wireless network receiver, and the wireless network receiver is wirelessly connected to a camera with a wireless transmission function and is used for receiving a video shot by the camera.
In another embodiment, the video receiver 1 is a wired network receiver, and the wired network receiver is connected with a camera with a wired transmission function in a wired manner and is used for receiving the video shot by the camera.
In another embodiment, the video receiver 1 may further include a wireless network receiver and a wired network receiver, so that the intelligent edge microserver may have a function of receiving videos shot by the camera with the wireless transmission function and a function of receiving videos shot by the camera with the wired transmission function at the same time, which is beneficial to meeting various use requirements.
Illustratively, as shown in fig. 3, the video receiver 1 may include a first port 101 and a WIFI (Wireless Fidelity) module 102; the first internet access 101 can be in wired connection with a camera with a wired transmission function through a network cable and is used for receiving a video shot by the camera; the WIFI module 102 may be wirelessly connected to a camera having a wireless transmission function, and is configured to receive a video captured by the camera. As shown in fig. 4, the first portal 101 may be provided at one side of the housing 14.
Specifically, the video decoder 2 may be a multi-channel video decoder, and the multi-channel video decoder is configured to decode videos shot by multiple cameras at the same time to obtain pictures of the videos.
In one embodiment, the number of the video receivers 1 is multiple, and the multiple video receivers can simultaneously receive videos shot by multiple cameras, and the multi-channel video decoder is configured to simultaneously decode the obtained videos shot by multiple cameras to obtain pictures of each video.
Further, as shown in fig. 2, the intelligent edge microserver further includes: a video encoder 5;
the video encoder 5 is configured to perform video encoding on the obtained multiple labeled pictures to obtain a video stream including the labeled pictures;
the transmission module 4 is also used to transmit the video stream.
Specifically, when the multi-channel video decoder is configured to decode videos shot by multiple cameras at the same time to obtain pictures of the videos, the video encoder 5 may perform video encoding on the tagged picture of each video to obtain a video stream; the transmission module 4 may transmit the video stream to a remote device through which the user may view the video stream and which the remote device displays. Of course, the user may also switch the interface to the interface displaying the above-mentioned labeled picture. Where the remote device may be a computer, the remote user may receive the video stream through a corresponding APP installed on the computer. Of course, the remote device may also be other devices, and the application is not limited herein.
In one embodiment, the transmission module 4 is further configured to receive a configuration instruction and/or a query instruction, where the configuration instruction is an instruction for setting an operation mode, for example: when the method is applied to a security scene, the working modes may include two types, one type is a white list working mode, and specifically, the method includes: when the analysis result is that the object with the face characteristics is subjected to face recognition on the basis of object classification on each object of the picture, whether the object is one of the people in the white list or not can be determined by comparing the face characteristics of the object with the face characteristics of each person in the white list stored in advance, and if the object is one of the people in the white list, the object can be allowed to pass through quickly; the other mode is a blacklist working mode, which specifically comprises the following steps: when the analysis result is that the object with the face features is subjected to face recognition on the basis of object classification on each object of the picture, whether the object is one of the blacklisted persons can be determined by comparing the face features of the object with the face features of the persons in the blacklist which are stored in advance, and if the object is one of the blacklisted persons, the object can be prohibited from passing through, for example: the intelligent edge micro server may include an audio alarm interface 11, the audio alarm interface 11 may be disposed at one side of the housing 14, and the audio alarm interface 11 may be used to externally connect an alarm device, and if the object is one of the blacklisted persons, an alarm may be given through the external alarm device so as to prevent the object from passing through.
When the transmission module 4 receives the configuration instruction, the configuration instruction is sent to the processor 3, so that the processor 3 sets the working mode according to the configuration instruction.
The inquiry instruction is an instruction for inquiring whether or not it is in a normal state. Specifically, the query instruction may be an instruction for querying whether the intelligent edge micro server is in a normal state, or may be an instruction for querying whether a camera connected to the video receiving device in the intelligent edge micro server is in a normal state, or of course, may also be an instruction for querying whether the intelligent edge micro server is in a normal state, or may be an instruction for querying whether a camera connected to the video receiving device in the intelligent edge micro server is in a normal state, or not, and the embodiment of the present application is not limited herein.
When the transmission module 4 receives the query instruction, it sends information whether it is in a normal state.
Specifically, when the transmission module 4 receives the query instruction, the information of whether the transmission module is in the normal state is acquired, and the information is sent to the remote device, so that the user can obtain the information through the remote device. For example, the remote device may be a computer, and the remote user may receive this information through a corresponding APP installed on the computer. Of course, the remote device may also be other devices, and the application is not limited herein.
Further, the transmission module 4 has a wired transmission function and/or a wireless transmission function.
Specifically, the transmission module 4 may be a wired network card module, which is favorable for meeting the transmission requirement of the wired network state, or a wireless network card module, which is favorable for meeting the transmission requirement of the wireless network state.
In one embodiment, as shown in fig. 3, The transmission module 4 may include a second port 401 or a 4G (The 4th Generation Mobile Communication technology) module 402, and The second port 401 may be connected to a remote device through a network cable; the 4G module 402 may be communicatively coupled to a remote device; as shown in fig. 4, the second portal 401 may be disposed at one side of the housing 14.
As shown in fig. 4, the transmission module 4 may also include an HDMI (High definition multimedia Interface) Interface 403, the HDMI Interface 403 may be disposed on one side of the housing 14, and the HDMI Interface 403 may transmit the above-mentioned annotated pictures and video streams to a projector for projection display. As shown in fig. 4, the HDMI interface 403 may be provided on one side of the housing 14.
Furthermore, the intelligent edge microserver also comprises an onboard buffer used for buffering the analysis result.
Specifically, when the free buffer space of the onboard buffer and the total buffer space of the onboard buffer are smaller than a preset proportion, deleting the analysis result farthest from the current time; this is achieved in the prior art and is not described in detail herein.
Further, as shown in fig. 4, the intelligent edge micro server further includes an SD interface 6, the SD interface 6 is connected to an SD card, and the SD interface 6 is used for transmitting the analysis result to the SD card. Specifically, the SD interface 6 may be provided at one side of the housing 14.
Furthermore, the intelligent edge mini-server also comprises a built-in power supply module for supplying power, which is beneficial to the intelligent edge mini-server to be used in some scenes without power resources.
Specifically, as shown in fig. 4 and 5, the intelligent edge microserver may further include a socket interface 13 and a power indicator 8, the socket interface 13 may be disposed on one side of the housing 14, the power indicator 8 may be disposed on the other side of the housing 14, and the socket interface 13 may be connected to an external power source through a power line; when the socket interface 13 is connected with an external power supply through a power line, the power indicator lamp 8 is turned on.
Further, the intelligent edge micro server may further include a system service indicator light 7, the system service indicator light 7 may be disposed on one side of the housing 14, and the system service indicator light 7 is used to indicate whether the intelligent edge micro server is correctly started, for example, if the intelligent edge micro server is not correctly started, the system service indicator light 7 is on, and if the intelligent edge micro server is correctly started, the system service indicator light 7 is not on; or if the intelligent edge microserver is not properly started, the system service indicator light 7 is not on, and if the intelligent edge microserver is properly started, the system service indicator light 7 is on.
Further, the intelligent edge mini server can also comprise a reset interface 9, a type-c interface 10 and a serial interface 12; the reset interface 9, the type-c interface 10, and the serial interface 12 may be disposed on the same side of the housing 14, the reset interface 9 may receive data for initializing the intelligent edge micro server, the type-c interface 10 is plugged with a USB flash disk (USB flash disk), the type-c interface may be configured to transmit the analysis result to the USB flash disk, and the serial interface 12 may be configured to receive data for debugging the intelligent edge micro server.
In one embodiment, the housing 14 may be a hollow cuboid, and the video decoder 2, the processor 3 and the video encoder 5 may be disposed inside the housing 14, wherein the housing 14 may have a length of 234mm, a width of 147mm and a height of 53 mm; the intelligent edge micro server has the advantages of small size and the like.
Furthermore, the intelligent edge micro server can also be expanded to increase the data processing capacity; for example, a plurality of intelligent edge microservers may be deployed in the cloud, so as to uniformly manage the plurality of intelligent edge microservers, and the data processing capability is also increased.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (9)
1. An intelligent edge microserver is characterized by comprising a video receiver, a video decoder, a processor and a transmission module;
the video receiver is used for receiving the video shot by the camera and sending the video to the video decoder;
the video decoder is used for performing video decoding on the video to obtain a picture of the video and sending the picture to the processor;
the processor is used for carrying out picture analysis on the picture to obtain an analysis result, and marking the analysis result on the picture to obtain a marked picture marked with the analysis result;
the transmission module is used for sending the labeling picture.
2. The intelligent edge microserver of claim 1, wherein the video receiver comprises at least one of a Universal Serial Bus (USB) interface, a wireless network receiver, and a wired network receiver;
the USB interface is connected with the USB camera and used for receiving the video shot by the USB camera;
the wireless network receiver is wirelessly connected with the camera with a wireless transmission function and is used for receiving the video shot by the camera;
the wired network receiver is in wired connection with the camera with the wired transmission function and is used for receiving the video shot by the camera.
3. The intelligent edge microserver of claim 1, wherein the video decoder is a multi-channel video decoder, and the multi-channel video decoder is configured to decode the acquired videos captured by the plurality of cameras simultaneously to obtain pictures of the videos.
4. The intelligent edge microserver of claim 1, further comprising: a video encoder;
the video encoder is configured to perform video encoding on the obtained plurality of labeled pictures to obtain a video stream including the labeled pictures;
the transmission module is further configured to transmit the video stream.
5. The intelligent edge microserver of claim 1, wherein the transmission module is further configured to receive a configuration instruction and/or a query instruction, the configuration instruction is an instruction for setting a working mode, and the query instruction is an instruction for querying whether the intelligent edge microserver is in a normal state;
when the transmission module receives the configuration instruction, the configuration instruction is sent to the processor, so that the processor can set a working mode according to the configuration instruction;
and when the transmission module receives the query instruction, sending information whether the transmission module is in a normal state.
6. The intelligent edge microserver of claim 1, wherein the transmission module has wired and/or wireless transmission capabilities.
7. The intelligent edge microserver of claim 1, further comprising an onboard cache for caching the analysis results.
8. The intelligent edge microserver of claim 1, further comprising a secure digital card (SD) interface, wherein the SD interface is connected to an SD card, and wherein the SD interface is configured to transmit the analysis results to the SD card.
9. The intelligent edge microserver of claim 1, further comprising a built-in power module for supplying power.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911159705.7A CN110809103A (en) | 2019-11-22 | 2019-11-22 | Intelligent edge micro server |
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| CN201911159705.7A CN110809103A (en) | 2019-11-22 | 2019-11-22 | Intelligent edge micro server |
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| CN110809103A true CN110809103A (en) | 2020-02-18 |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022017192A1 (en) * | 2020-07-24 | 2022-01-27 | 西门子（中国）有限公司 | Edge computing device, and edge computing method and system |
| CN115578694A (en) * | 2022-11-18 | 2023-01-06 | 合肥英特灵达信息技术有限公司 | Video analysis computing power scheduling method, system, electronic equipment and storage medium |
-
2019
- 2019-11-22 CN CN201911159705.7A patent/CN110809103A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2022017192A1 (en) * | 2020-07-24 | 2022-01-27 | 西门子（中国）有限公司 | Edge computing device, and edge computing method and system |
| CN115578694A (en) * | 2022-11-18 | 2023-01-06 | 合肥英特灵达信息技术有限公司 | Video analysis computing power scheduling method, system, electronic equipment and storage medium |
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