CN210839843U - Warehouse video monitoring system based on edge calculation - Google Patents
Warehouse video monitoring system based on edge calculation Download PDFInfo
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- CN210839843U CN210839843U CN201922176879.6U CN201922176879U CN210839843U CN 210839843 U CN210839843 U CN 210839843U CN 201922176879 U CN201922176879 U CN 201922176879U CN 210839843 U CN210839843 U CN 210839843U
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Abstract
The utility model discloses a warehouse video monitor system based on edge calculation, including video monitor system front end, edge node unit, intelligent storage unit, network transmission unit, terminal display element and power. The utility model discloses the video preprocessing technique based on edge calculation is found to the structure, gets rid of the redundant information of video image for part or whole video analysis migrate to the edge, reduce calculation, storage and the network bandwidth demand at cloud center from this, improve video image analysis's efficiency.
Description
Technical Field
The utility model relates to a video monitoring technical field especially relates to a warehouse video monitor system based on edge calculation.
Background
The video monitoring safety system oriented to the public safety field is mainly used for solving the public safety problem, and the video monitoring system of the warehouse is mainly used for ensuring the safety of important goods. The traditional warehouse video monitoring system has the defects of less built-in computing resources of a front-end camera, larger data volume, higher transmission bandwidth delay, limited computing capacity of a cloud computing center server and the like, and therefore, a novel warehouse video monitoring system based on edge computing needs to be constructed.
Disclosure of Invention
The utility model discloses a warehouse video monitor system based on edge calculation aims at solving current warehouse video monitor system and has that the built-in computational resource of front end camera is less, the data bulk is great, transmission bandwidth delays higher, cloud computing center server computing capacity is limited not enough scheduling problem.
In order to achieve the above purpose, the utility model adopts the technical scheme that:
a warehouse video monitoring system based on edge calculation comprises a video monitoring system front end, an edge node unit, an intelligent storage unit, a network transmission unit and a terminal display unit which are connected in sequence;
the front end of the video monitoring system comprises a camera and a video converter, wherein the video converter converts an analog video signal acquired by the camera into a digital signal and transmits the digital signal to an edge node unit;
the edge node unit is provided with a high-performance DSP chip, and the high-performance DSP chip is used for screening digital signals obtained by conversion from a video converter in the front end of the video monitoring system and compressing videos after screening;
the intelligent storage unit is used for caching the compressed video;
the network transmission unit is used for sending the cached video to the terminal display unit in time;
and the terminal display unit is used for receiving the video stream sent by the network transmission unit, displaying the video and informing a supervisor of a terminal control terminal.
Preferably, the system further comprises a power supply which is connected with other units through wires and supplies power.
Preferably, the system removes redundant information of the video image based on a video preprocessing technology of the edge node unit, so that part or all of video analysis is migrated to the edge, thereby reducing the demands on computing, storage and network bandwidth of the cloud center, and improving the efficiency of video image analysis.
Preferably, video data are adjusted in real time according to the processing result of the high-performance DSP chip, and only changed video frames are reserved, so that the storage of invalid videos is reduced, the storage space is reduced, the 'in-the-fact' evidence video data are stored to the maximum extent, and the utilization rate of the storage space of the video data is improved.
Compared with the prior art, the beneficial effects of the utility model reside in that:
1. the utility model discloses construct the video preprocessing technique based on edge calculation, get rid of the redundant information of video image for part or whole video analysis shifts to the edge, reduces calculation, storage and network bandwidth demand to the cloud center from this, improves the efficiency of video image analysis;
2. according to the DSP processing result, the video data is adjusted in real time, and only the changed video frames are reserved, so that the storage of invalid videos is reduced, the storage space is reduced, the 'in-the-fact' evidence video data is stored to the maximum extent, and the utilization rate of the storage space of the video data is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification. In the drawings:
FIG. 1 is a schematic structural view of the present invention;
fig. 2 is a flow chart of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all 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 application.
As shown in fig. 1, a warehouse video monitoring system based on edge calculation includes a video monitoring system front end 1, an edge node unit 2, an intelligent storage unit 3, a network transmission unit 4 and a terminal display unit 5, which are connected in sequence;
the video monitoring system front end 1 comprises a camera 11 and a video converter 12, wherein the video converter 12 converts an analog video signal acquired by the camera 11 into a digital signal and transmits the digital signal to the edge node unit 2;
the edge node unit 2 is provided with a high-performance DSP chip, and the high-performance DSP chip is used for screening digital signals obtained by conversion from a video converter 12 in the front end 1 of the video monitoring system and compressing videos after screening;
by migrating the analysis processing task to the edge node unit 2, on the premise of ensuring the reliability of data, preprocessing a large amount of real-time edge data generated by the front end 1 of the video monitoring system in a short time, analyzing the content characteristics of the video in real time, dynamically adjusting the parameters of the video stream, reducing redundant video frames, and reducing the energy consumption of storage nodes, thereby reducing the overhead of the video stream and reducing the calculation cost of video target identification; in addition, in order to reduce the uploaded video data, only the changed video frames are stored, the video data are adjusted in real time, the storage of invalid videos is reduced, the storage space is reduced, the evidence video data of a warehouse site are reliably stored, the credibility of evidence information is enhanced, and the utilization rate of the storage space of the video data is improved.
The intelligent storage unit 3 is used for caching the compressed video;
the network transmission unit 4 is used for sending the cached video to the terminal display unit 5 in time;
and the terminal display unit 5 is used for receiving the video stream sent by the network transmission unit 4, displaying the video and notifying a supervisor of a terminal control terminal.
The system also comprises a power supply 6, and the power supply 6 is connected with other units through leads and supplies power.
According to the processing result of the high-performance DSP chip, the video data is adjusted in real time, and only the changed video frames are reserved, so that the storage of invalid videos is reduced, the storage space is reduced, the 'in-the-fact' evidence video data is stored to the maximum extent, and the utilization rate of the storage space of the video data is improved.
As shown in fig. 2, the utility model discloses a use flow:
the front end 1 of the video monitoring system is an input end of the system, when the system acquires an effective video (namely, a video with a moving object intruding is detected), a video converter 12 is used for converting an analog video signal into a digital signal, then the digital signal enters a high-performance DSP chip for processing, an algorithm processed in the high-performance DSP chip is cached in an intelligent storage unit 3, and whether a warehouse video is stored or not is judged according to an improved algorithm combining a two-frame difference method and a projection method, namely, whether the multi-angle projection of a previous frame is changed or not is judged in comparison with the multi-angle projection of a current video frame, the difference value of grayscale projection images of the two is judged, and if the difference value is 0, the video is not stored; if not 0, the data is buffered in the data storage unit. And the video data is adjusted in real time in the preprocessing process, so that the storage of invalid videos is reduced, the storage space is reduced, the evidence video data of a warehouse site can be stored, the credibility of evidence information is enhanced, and the cached videos are compressed and then are sent to the terminal in time. By migrating the analysis processing task to the edge node unit 2, on the premise of ensuring the reliability of data, a large amount of real-time edge data generated by the video acquisition terminal in a short time are preprocessed, so that the video analysis speed is improved, the processing and transmission delay is reduced, and the real-time performance of monitoring video streams is ensured.
Compare with traditional artifical surveillance video model, the utility model provides an add moving object detection algorithm in camera 11, handle the original video data who gathers, get rid of redundant information to the action in the analysis video only transmits most valuable data to terminal display element 5. The improved frame difference method is used for detecting the moving target, the detection is more reliable than manual detection, and only when a moving object is detected in a monitored picture, the moving object is stored, so that the storage of invalid videos is reduced, the evidence video data of a warehouse site can be stored, the credibility of evidence information is enhanced, the storage space utilization rate of the video data is improved, and a large amount of storage space is saved.
Compared with a cloud computing model, the video transmission and processing overhead is reduced. The influence of transmission and processing time delay is considered, the system firstly screens out effective video frames to upload, and the space occupied by the processed video is greatly reduced through a compression coding technology, so that the real-time performance and the resource utilization rate of the video stream are improved.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement, component separation or combination made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (3)
1. A warehouse video monitoring system based on edge calculation is characterized by comprising a video monitoring system front end, an edge node unit, an intelligent storage unit, a network transmission unit and a terminal display unit which are sequentially connected;
the front end of the video monitoring system comprises a camera and a video converter, wherein the video converter converts an analog video signal acquired by the camera into a digital signal and transmits the digital signal to an edge node unit;
the edge node unit is provided with a high-performance DSP chip, and the high-performance DSP chip is used for screening digital signals obtained by conversion from a video converter in the front end of the video monitoring system and compressing videos after screening;
the intelligent storage unit is used for caching the compressed video;
the network transmission unit is used for sending the cached video to the terminal display unit in time;
and the terminal display unit is used for receiving the video stream sent by the network transmission unit, displaying the video and informing a supervisor of a terminal control terminal.
2. The warehouse video monitoring system based on edge computing of claim 1, further comprising a power supply, wherein the power supply is connected with and supplies power to the video monitoring system front end, the edge node unit, the intelligent storage unit, the network transmission unit and the terminal display unit through wires.
3. The edge computing-based warehouse video monitoring system according to claim 2, wherein the system is based on a video preprocessing technology of the edge node unit, and removes redundant information of video images, so that part or all of video analysis is migrated to the edge, thereby reducing computing, storage and network bandwidth requirements of a cloud center and improving efficiency of video image analysis.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201922176879.6U CN210839843U (en) | 2019-12-06 | 2019-12-06 | Warehouse video monitoring system based on edge calculation |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201922176879.6U CN210839843U (en) | 2019-12-06 | 2019-12-06 | Warehouse video monitoring system based on edge calculation |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110913181A (en) * | 2019-12-06 | 2020-03-24 | 太原师范学院 | Warehouse video monitoring system based on edge calculation |
| CN112601106A (en) * | 2020-11-16 | 2021-04-02 | 北京都是科技有限公司 | Video image processing method and device and storage medium |
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2019
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110913181A (en) * | 2019-12-06 | 2020-03-24 | 太原师范学院 | Warehouse video monitoring system based on edge calculation |
| CN112601106A (en) * | 2020-11-16 | 2021-04-02 | 北京都是科技有限公司 | Video image processing method and device and storage medium |
| CN112601106B (en) * | 2020-11-16 | 2022-11-15 | 北京都是科技有限公司 | Video image processing method and device and storage medium |
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Granted publication date: 20200623 |