CN211606626U - Intelligent video image processing equipment based on edge calculation - Google Patents

Intelligent video image processing equipment based on edge calculation Download PDF

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CN211606626U
CN211606626U CN202020607839.2U CN202020607839U CN211606626U CN 211606626 U CN211606626 U CN 211606626U CN 202020607839 U CN202020607839 U CN 202020607839U CN 211606626 U CN211606626 U CN 211606626U
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孙辉
李启元
仲红
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Anhui University
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Abstract

The utility model belongs to the technical field of the image processing technique and specifically relates to an intelligence video image processing equipment based on edge calculation, including casing and bottom plate, the bottom plate is fixed to be set up on the inside bottom plate of casing, and the bottom plate is provided with respectively and flows processing unit, intelligent image processing unit and data transmission unit through the TCP that the pin connects on the bottom plate, and the curb plate of casing left end is inside to be fixed and is provided with image channel processing unit. The utility model discloses in, for the camera integrated high performance embedded computing power, make it have the ability of marginal computing, carry out image processing promptly at the marginal end that data produced to magnanimity video data, high-efficient processing draws key information, effectively gets rid of redundant information, satisfies video data's real-time transmission, alleviates the bandwidth pressure because of cloud center calculation that the cloud computing mode brought and storage pressure and transmission course. Meanwhile, the video data are actively processed, different intelligent algorithms are loaded aiming at different scenes, and the flexibility and the reliability of the equipment are improved.

Description

一种基于边缘计算的智能视频图像处理设备An intelligent video image processing device based on edge computing

技术领域technical field

本实用新型涉及图像处理技术领域,具体为一种基于边缘计算的智能视频图像处理设备。The utility model relates to the technical field of image processing, in particular to an intelligent video image processing device based on edge computing.

背景技术Background technique

现今安防领域日益被人们所重视,作为安防领域的重要组成部分,视频监控技术越来越被人们关注,从传统模拟摄像机走到了今天的网络摄像机,智能摄像机。越来越多的监控摄像机被部署在生活的各个角落,对人们安防进行保障的同时,由此也带来了许多新的问题。Nowadays, people pay more and more attention to the security field. As an important part of the security field, video surveillance technology has attracted more and more attention, from traditional analog cameras to today's network cameras and smart cameras. More and more surveillance cameras are deployed in all corners of life to ensure people's security, but also bring many new problems.

首先,海量监控摄像头带来的不仅包含人们关注的重要信息,由于视频监控的特性往往同时也包括大量的冗余信息,这对现有集中式计算和存储的云计算模式带来了极大的计算和存储压力,加剧了云计算视频服务器的计算处理负担以及存储资源的消耗。同时海量监控视频数据传输至云计算中心同样带来巨大的网络带宽压力,导致监控视频实时性无法保障。First of all, the massive surveillance cameras not only contain important information that people pay attention to, but also include a lot of redundant information due to the characteristics of video surveillance, which brings great impact to the existing cloud computing model of centralized computing and storage. The pressure on computing and storage increases the computing processing burden and storage resource consumption of the cloud computing video server. At the same time, the transmission of massive surveillance video data to the cloud computing center also brings huge pressure on network bandwidth, resulting in the inability to guarantee the real-time surveillance video.

其次,现有视频监控系统往往是一种被动的处理模式,需要事后人为的查找监控视频数据,这对日益增大的海量视频监控数据来说,增大了人们的任务负担。即使部分监控摄像机配备了基本计算能力的视频图像处理模块,但其图像处理能力弱,无法满足海量大数据处理要求,缺乏更专业对海量数据更复杂场景的实时分析处理能力。同时其往往只能对特定场景进行视频处理,不能对不同场景灵活加载不同算法应用,也无法变更使用场景,因此,针对上述问题提出一种基于边缘计算的智能视频图像处理设备。Secondly, the existing video surveillance system is often a passive processing mode, which needs to manually search for surveillance video data afterwards, which increases the task burden of people for the ever-increasing mass of video surveillance data. Even though some surveillance cameras are equipped with video image processing modules with basic computing capabilities, their image processing capabilities are weak, unable to meet the requirements of massive big data processing, and lack more professional real-time analysis and processing capabilities for massive data and more complex scenes. At the same time, it can only perform video processing on specific scenes, and cannot flexibly load different algorithm applications for different scenes, nor change the usage scene. Therefore, an intelligent video image processing device based on edge computing is proposed to solve the above problems.

实用新型内容Utility model content

本实用新型的目的在于提供一种基于边缘计算的智能视频图像处理设备,以解决上述背景技术中提出的问题。The purpose of the present invention is to provide an intelligent video image processing device based on edge computing, so as to solve the problems raised in the above background technology.

为实现上述目的,本实用新型提供如下技术方案:To achieve the above object, the utility model provides the following technical solutions:

一种基于边缘计算的智能视频图像处理设备,包括壳体和底板,所述底板固定设置于壳体内部的底板上,所述底板分别设置有通过引脚连接在底板上的TCP流处理单元、智能图像处理单元和数据传输单元,所述壳体左端的侧板内部固定设置有图像通道处理单元,所述图像通道处理单元左侧设置有数据采集单元,所述数据采集单元包括CSI接口摄像头,所述数据采集单元通过数据线路连接图像通道处理单元,所述图像通道处理单元通过分流线路分别连接TCP流处理单元和智能图像处理单元,所述TCP流处理单元和智能图像处理单元分别通过线路连接数据传输单元,所述数据传输单元的输出线路伸出壳体外,所述壳体底部右侧设置有外接拓展单元,所述数据传输单元通过线路连接外接拓展单元。An intelligent video image processing device based on edge computing, comprising a casing and a bottom plate, the bottom plate is fixedly arranged on the bottom plate inside the casing, and the bottom plate is respectively provided with a TCP stream processing unit connected to the bottom plate through pins, An intelligent image processing unit and a data transmission unit, an image channel processing unit is fixed inside the side panel at the left end of the casing, a data acquisition unit is arranged on the left side of the image channel processing unit, and the data acquisition unit includes a CSI interface camera, The data acquisition unit is connected to the image channel processing unit through a data line, and the image channel processing unit is respectively connected to the TCP stream processing unit and the intelligent image processing unit through the shunt circuit, and the TCP stream processing unit and the intelligent image processing unit are respectively connected through the line. A data transmission unit, the output line of the data transmission unit extends out of the casing, an external expansion unit is arranged on the right side of the bottom of the casing, and the data transmission unit is connected to the external expansion unit through a line.

优选的,所述图像通道处理单元为型号为Lattice的LIFMD6000-主控连接板。Preferably, the image channel processing unit is a LIFMD6000-main control connection board with a model of Lattice.

优选的,所述智能图像处理单元顶部贴合设置有散热片,所述散热片顶部设置有散热风扇,所述智能图像处理单元采用NVIDIA TX2,包括CPU集群与神经网络协处理器,其中,CPU集群由双核denver2处理器和四核ARM Cortex-A57组成。Preferably, the top of the intelligent image processing unit is fitted with a heat sink, and the top of the heat sink is provided with a cooling fan, the intelligent image processing unit adopts NVIDIA TX2, and includes a CPU cluster and a neural network co-processor, wherein the CPU The cluster consists of a dual-core denver2 processor and a quad-core ARM Cortex-A57.

优选的,所述TCP流处理单元采用海思h3519芯片。Preferably, the TCP stream processing unit adopts a HiSilicon h3519 chip.

优选的,所述数据传输单元采用TPLINK路由器,具体型号为TP-LINK TL-SF1005+,具有5个10/100M自适应RJ45端口,采用全双工/半双工自适应的传输模式。Preferably, the data transmission unit adopts a TPLINK router, the specific model is TP-LINK TL-SF1005+, has five 10/100M adaptive RJ45 ports, and adopts a full-duplex/half-duplex adaptive transmission mode.

优选的,所述外接拓展单元包含俩个USB3.0接口一个HDMI接口,HDMI接口是高清多媒体接口。Preferably, the external expansion unit includes two USB3.0 interfaces and one HDMI interface, and the HDMI interface is a high-definition multimedia interface.

优选的,所述数据采集单元的CSI接口摄像头左侧壳体的侧壁由透明玻璃制成。Preferably, the side wall of the left casing of the CSI interface camera of the data acquisition unit is made of transparent glass.

与现有技术相比,本实用新型的有益效果是:为摄像机集成了高性能嵌入式计算能力,使其具有边缘计算的能力,对海量视频数据在数据产生的边缘端即进行图像处理,高效处理提取关键信息,有效去除冗余信息,满足视频数据的实时传输,缓解因云计算模式带来的云中心计算与存储压力以及传输过程的带宽压力。同时主动对视频数据进行处理,降低了人力成本,针对不同场景加载不同智能算法,提高了设备的灵活性与可靠性。Compared with the prior art, the utility model has the beneficial effects of integrating high-performance embedded computing capability for the camera, enabling it to have edge computing capability, and performing image processing on massive video data at the edge where the data is generated. Process and extract key information, effectively remove redundant information, meet real-time transmission of video data, and relieve cloud center computing and storage pressure and bandwidth pressure during transmission due to cloud computing mode. At the same time, it actively processes video data, reducing labor costs, and loading different intelligent algorithms for different scenarios, improving the flexibility and reliability of the equipment.

附图说明Description of drawings

图1为本实用新型一种基于边缘计算的智能视频图像处理设备整体结构示意图;1 is a schematic diagram of the overall structure of a kind of intelligent video image processing equipment based on edge computing of the present invention;

图2为本实用新型一种基于边缘计算的智能视频图像处理设备各部件连接结构示意图。FIG. 2 is a schematic diagram of the connection structure of each component of an edge computing-based intelligent video image processing device of the present invention.

图中:1、图像通道处理单元;2、散热片;3、散热风扇;4、数据传输单元;5、外接扩展单元;6、壳体;7、底板;8、TCP流处理单元;9、智能图像处理单元;10、数据采集单元。In the figure: 1. Image channel processing unit; 2. Heat sink; 3. Cooling fan; 4. Data transmission unit; 5. External expansion unit; 6. Housing; 7. Bottom plate; 8. TCP stream processing unit; 9. An intelligent image processing unit; 10. A data acquisition unit.

具体实施方式Detailed ways

下面将结合本实用新型实施例中的附图,对本实用新型实施例中的技术方案进行清楚、完整地描述,显然,所描述的实施例仅仅是本实用新型一部分实施例,而不是全部的实施例。基于本实用新型中的实施例,本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例,都属于本实用新型保护的范围。The technical solutions in the embodiments of the present utility model will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present utility model. Obviously, the described embodiments are only a part of the embodiments of the present utility model, rather than all the implementations. example. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

请参阅图1-2,本实用新型提供一种技术方案:Please refer to Figure 1-2, the utility model provides a technical solution:

一种基于边缘计算的智能视频图像处理设备,包括壳体6和底板7,底板7固定设置于壳体6内部的底板上,底板7分别设置有通过引脚连接在底板7上的TCP流处理单元8、智能图像处理单元9和数据传输单元4,壳体6左端的侧板内部固定设置有图像通道处理单元1,图像通道处理单元1左侧设置有数据采集单元10,数据采集单元10包括CSI接口摄像头,数据采集单元10通过数据线路连接图像通道处理单元1,图像通道处理单元1通过分流线路分别连接TCP流处理单元8和智能图像处理单元9,TCP流处理单元8和智能图像处理单元9分别通过线路连接数据传输单元4,数据传输单元4的输出线路伸出壳体6外,壳体6底部右侧设置有外接拓展单元5,数据传输单元4通过线路连接外接拓展单元5。An intelligent video image processing device based on edge computing, comprising a casing 6 and a bottom plate 7, the bottom plate 7 is fixedly arranged on the bottom plate inside the casing 6, and the bottom plate 7 is respectively provided with a TCP stream processing connected to the bottom plate 7 through pins. Unit 8, intelligent image processing unit 9 and data transmission unit 4, an image channel processing unit 1 is fixed inside the side panel at the left end of the housing 6, and a data acquisition unit 10 is provided on the left side of the image channel processing unit 1. The data acquisition unit 10 includes CSI interface camera, the data acquisition unit 10 is connected to the image channel processing unit 1 through the data line, and the image channel processing unit 1 is respectively connected to the TCP stream processing unit 8 and the intelligent image processing unit 9 through the shunt line, and the TCP stream processing unit 8 and the intelligent image processing unit 9 are respectively connected to the data transmission unit 4 through a line, the output line of the data transmission unit 4 extends out of the casing 6, an external expansion unit 5 is provided on the right side of the bottom of the casing 6, and the data transmission unit 4 is connected to the external expansion unit 5 through a line.

其中,图像通道处理单元1为型号为Lattice的LIFMD6000-主控连接板。Among them, the image channel processing unit 1 is a LIFMD6000-main control connection board with a model of Lattice.

其中,智能图像处理单元9顶部贴合设置有散热片2,散热片2顶部设置有散热风扇3,智能图像处理单元9采用NVIDIA TX2,包括CPU集群与神经网络协处理器,其中,CPU集群由双核denver2处理器和四核ARM Cortex-A57组成。Among them, the top of the intelligent image processing unit 9 is fitted with a heat sink 2, and the top of the heat sink 2 is provided with a cooling fan 3. The intelligent image processing unit 9 adopts NVIDIA TX2, including a CPU cluster and a neural network co-processor, wherein the CPU cluster is composed of It consists of dual-core denver2 processor and quad-core ARM Cortex-A57.

其中,TCP流处理单元8采用海思h3519芯片。Among them, the TCP stream processing unit 8 adopts the HiSilicon h3519 chip.

其中,数据传输单元4采用TPLINK路由器,具体型号为TP-LINK TL-SF1005+,具有5个10/100M自适应RJ45端口,采用全双工/半双工自适应的传输模式。Among them, the data transmission unit 4 adopts a TPLINK router, the specific model is TP-LINK TL-SF1005+, has 5 10/100M adaptive RJ45 ports, and adopts the full-duplex/half-duplex adaptive transmission mode.

其中,外接拓展单元5包含俩个USB3.0接口一个HDMI接口,HDMI接口是高清多媒体接口。Among them, the external expansion unit 5 includes two USB3.0 interfaces and an HDMI interface, and the HDMI interface is a high-definition multimedia interface.

其中,数据采集单元10的CSI接口摄像头左侧壳体6的侧壁由透明玻璃制成。The side wall of the left casing 6 of the CSI interface camera of the data acquisition unit 10 is made of transparent glass.

工作原理:数据采集单元10中含有CSI接口摄像头对视频图像数据实时采集,采集后图像传输至后方图像通道处理单元,在此处对由数据采集单元10传输而来的视频数据进行分流处理后,分别传输至TCP流处理单元8智能图像处理单元9,TCP流处理单元8内部包含有图像编码处理模块,对由通道处理单元4传输来的视频流提供视频编码服务,提供包括视频增强、图像拼接、视频叠加等预处理操作,同时提供输出视频TCP流服务,通过媒体播放器以及终端进行实时的播放,智能图像处理单元9包括图像处理能力,实时的对图像通道处理单元4传来的视频流数据信息以及后端监控终端传送的信息进行综合分析处理,将处理结果向后传输,根据应用场景需求加载所需算法进行图像特征分析、图像分类、图像识别与跟踪、特定图像数据的保存提取等图像处理步骤,并将处理结果发送回监控终端,同时输出高清的H264码流进行摄像,所述包括神经网络协处理器,可以运行庞大复杂的深度神经网络,同时可以加载用户开发的不同神经网络算法,对边缘端视频流进行智能视频分析,具有强大的人工智能运算能力,所述包括不同应用场景加载对应算法,在智能图像处理单元9中依据需求,对算法进行修改迭代,使得智能视频图像处理设备具备在各种场景下的通用性,其中散热片2位于智能图像处理单元9上,散热风扇3位于散热片2上用以散发智能图像处理单元9因高速运算带来的热量,增加了对智能图像处理单元9的防护作用和散热速率,数据传输单元4对来自TCP流处理单元8的视频流数据以及来自智能图像处理单元9的处理结果信息与后端用户进行数据传输转发交换处理,后端设备多媒体播放器可通过访问地址实时查看视频流以及处理结果,外接扩展单元5设有多个数据交互接口,包括USB以及HDMI显示接口,预留有装配空间,满足智能视频图像处理设备的功能扩展需求,壳体6为不可弯曲的刚性壳体,用于包裹上述结构保护其免受部分伤害,包含防尘防水的作用,增加了对上述组件的保护作用,壳体6后部铰接有后盖用于设备维修护理,壳体6底部设置有固定孔,支架与固定孔连接使得设备支架与壳体外圈固定连接,同时通过支架和安装座的配合,方便设备安装角度的调节,底板7将散热片2、散热风扇3、数据传输单元4、TCP流处理单元8,智能图像处理单元9固定连接,同时智能视频图像处理设备可以连接无线和有线网络,在外接扩展单元5处还可以外接4G模块连接4G网络,通过线路11外接稳压电源的12V电压,为设备提供电源,智能视频图像处理设备特别适用于定制与个性化场景化服务,依据不同的需要对程序进行配置。Working principle: The data acquisition unit 10 contains a CSI interface camera to collect video image data in real time. After the acquisition, the image is transmitted to the rear image channel processing unit, where the video data transmitted by the data acquisition unit 10 is processed. It is respectively transmitted to the intelligent image processing unit 9 of the TCP stream processing unit 8, and the TCP stream processing unit 8 contains an image coding processing module, which provides video coding services to the video stream transmitted by the channel processing unit 4, and provides video enhancement, image splicing , video overlay and other preprocessing operations, while providing output video TCP stream service, through the media player and terminal for real-time playback, the intelligent image processing unit 9 includes image processing capabilities, real-time image channel processing unit 4 The video stream transmitted by The data information and the information transmitted by the back-end monitoring terminal are comprehensively analyzed and processed, the processing results are transmitted backwards, and the required algorithms are loaded according to the application scenario requirements for image feature analysis, image classification, image recognition and tracking, and storage and extraction of specific image data, etc. Image processing step, send the processing results back to the monitoring terminal, and output high-definition H264 code stream for video recording, including a neural network co-processor, which can run huge and complex deep neural networks, and can load different neural networks developed by users. The algorithm performs intelligent video analysis on the video stream at the edge end, and has powerful artificial intelligence computing capabilities. The algorithm includes loading corresponding algorithms in different application scenarios. In the intelligent image processing unit 9, according to requirements, the algorithm is modified and iterated, so that the intelligent video image The processing device has the versatility in various scenarios, wherein the heat sink 2 is located on the intelligent image processing unit 9, and the cooling fan 3 is located on the heat sink 2 to dissipate the heat brought by the intelligent image processing unit 9 due to high-speed operation, which increases the For the protection function and heat dissipation rate of the intelligent image processing unit 9, the data transmission unit 4 performs data transmission, forwarding and exchange processing on the video stream data from the TCP stream processing unit 8 and the processing result information from the intelligent image processing unit 9 and the back-end user, The multimedia player of the back-end device can view the video stream and processing results in real time through the access address. The external expansion unit 5 is provided with multiple data interaction interfaces, including USB and HDMI display interfaces, and has reserved assembly space to meet the needs of intelligent video image processing equipment. For functional expansion requirements, the shell 6 is an inflexible rigid shell, which is used to wrap the above structure to protect it from partial damage, including dustproof and waterproof functions, which increases the protection of the above components. The back cover is used for equipment maintenance. There are fixing holes at the bottom of the shell 6. The brackets are connected with the fixing holes so that the equipment brackets are fixedly connected to the outer ring of the shell. The heat sink 2, the cooling fan 3, the data transmission unit 4, the TCP stream processing unit 8, and the intelligent image processing unit 9 are fixedly connected. At the same time, the intelligent video image processing device can be connected to wireless and wired networks, and the external expansion unit 5 can also be connected externally. The 4G module is connected to the 4G network, and is externally stabilized through line 11. The 12V voltage of the voltage source provides power for the device. The intelligent video image processing device is especially suitable for customization and personalized scene services, and the program can be configured according to different needs.

尽管已经示出和描述了本实用新型的实施例,对于本领域的普通技术人员而言,可以理解在不脱离本实用新型的原理和精神的情况下可以对这些实施例进行多种变化、修改、替换和变型,本实用新型的范围由所附权利要求及其等同物限定。Although the embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes and modifications can be made to these embodiments without departing from the principles and spirit of the present invention , alternatives and modifications, the scope of the present invention is defined by the appended claims and their equivalents.

Claims (7)

1. An intelligent video image processing device based on edge calculation, comprising a shell (6) and a bottom plate (7), characterized in that: the bottom plate (7) is fixedly arranged on a bottom plate inside the shell (6), the bottom plate (7) is respectively provided with a TCP stream processing unit (8), an intelligent image processing unit (9) and a data transmission unit (4) which are connected to the bottom plate (7) through pins, the inside of a side plate at the left end of the shell (6) is fixedly provided with an image channel processing unit (1), the left side of the image channel processing unit (1) is provided with a data acquisition unit (10), the data acquisition unit (10) comprises a CSI interface camera, the data acquisition unit (10) is connected with the image channel processing unit (1) through a data line, the image channel processing unit (1) is respectively connected with the TCP stream processing unit (8) and the intelligent image processing unit (9) through a shunt line, the TCP stream processing unit (8) and the intelligent image processing unit (9) are respectively connected with the data transmission unit (4) through a line, the output line of the data transmission unit (4) extends out of the shell (6), an external expansion unit (5) is arranged on the right side of the bottom of the shell (6), and the data transmission unit (4) is connected with the external expansion unit (5) through a line.
2. An intelligent video image processing device based on edge calculation according to claim 1, characterized in that: the image channel processing unit (1) is a LIFMD 6000-master control connecting plate with the model number of Lattice.
3. An intelligent video image processing device based on edge calculation according to claim 1, characterized in that: the intelligent image processing unit (9) is provided with fin (2) in the laminating of intelligence image processing unit (9) top, fin (2) top is provided with radiator fan (3), intelligence image processing unit (9) adopts NVIDIA TX2, including CPU cluster and neural network coprocessor, wherein, the CPU cluster comprises dual-core denver2 treater and four-core ARM Cortex-A57.
4. An intelligent video image processing device based on edge calculation according to claim 1, characterized in that: the TCP stream processing unit (8) adopts a Haesi h3519 chip.
5. An intelligent video image processing device based on edge calculation according to claim 1, characterized in that: the data transmission unit (4) adopts a TPLINK router, has a specific model of TP-LINK TL-SF1005+, is provided with 5 10/100M self-adaptive RJ45 ports, and adopts a full-duplex/half-duplex self-adaptive transmission mode.
6. An intelligent video image processing device based on edge calculation according to claim 1, characterized in that: the external expansion unit (5) comprises two USB3.0 interfaces and an HDMI interface, and the HDMI interface is a high-definition multimedia interface.
7. An intelligent video image processing device based on edge calculation according to claim 1, characterized in that: the side wall of the left shell (6) of the CSI interface camera of the data acquisition unit (10) is made of transparent glass.
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112788216A (en) * 2020-12-31 2021-05-11 中冶赛迪重庆信息技术有限公司 Device for image acquisition and recognition
CN114827512A (en) * 2022-04-02 2022-07-29 江苏野马软件科技有限公司 Video AI handles machine
CN115474000A (en) * 2022-08-16 2022-12-13 支付宝(杭州)信息技术有限公司 Data processing method and device

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112788216A (en) * 2020-12-31 2021-05-11 中冶赛迪重庆信息技术有限公司 Device for image acquisition and recognition
CN114827512A (en) * 2022-04-02 2022-07-29 江苏野马软件科技有限公司 Video AI handles machine
CN115474000A (en) * 2022-08-16 2022-12-13 支付宝(杭州)信息技术有限公司 Data processing method and device

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