CN214851531U

CN214851531U - Compound eye camera device for smart city grid management

Info

Publication number: CN214851531U
Application number: CN202121212585.5U
Authority: CN
Inventors: 魏希影
Original assignee: Beijing Wanghui Zhicheng Technology Co ltd
Current assignee: Beijing Wanghui Zhicheng Technology Co ltd
Priority date: 2021-06-01
Filing date: 2021-06-01
Publication date: 2021-11-23
Anticipated expiration: 2031-06-01

Abstract

The utility model discloses a compound eye camera device for smart city grid management, compound eye camera device includes compound eye lens unit 1 and host computer 2, compound eye lens unit 1 is the cuboid appearance, on four sides of cuboid, all set up a set of compound eye lens array of many focal length combinations on each side, all include a short focal length camera 3 in the compound eye lens array, the focus of short focal length camera 3 is 2~4 mm; the system also comprises 4 middle-focus cameras 4, wherein the focal length of each middle-focus camera 4 is 15 mm; still include 10 long focus cameras 5, long focus camera 5's focus is 25 mm. A light shielding plate 6 is provided at the edge of each side of the fly-eye lens unit 1.

Description

Compound eye camera device for smart city grid management

Technical Field

The utility model relates to a video monitoring technical field especially relates to a compound eye camera device for management of wisdom city grid.

Background

The smart city applies information technologies such as cloud computing, big data and artificial intelligence to a city management system, and realizes the deep integration of informatization, intellectualization and urbanization by effectively aggregating, analyzing and mining big data of various cities, thereby being beneficial to relieving 'big urban diseases' and realizing the fine operation and dynamic management of the city. Therefore, how to collect various kinds of city big data and fully analyze and mine big data value is a key problem to be solved urgently in the development of smart cities.

The large-scale image video data of the video monitoring network is an important data resource serving as a data processing and decision center of a smart city. However, for a large city, tens or hundreds of thousands of surveillance cameras, this number may be less than one percent. If the average 4Mbps bit rate of each path of high-definition video is calculated, 400Gbps bandwidth is needed for transmitting one hundred thousand paths of monitoring video data in real time. Similarly, each high-performance server provided with multiple GPU cards can process one hundred paths of high-definition video stream calculation in real time, and the analysis and processing of one hundred thousand paths of monitoring videos at least require the cloud computing power of ten thousand servers. The inability to aggregate and process large-scale surveillance video stream data in real-time means that the brain of the city cannot perceive and analyze the current situation of the city in real-time, and even cannot make timely prediction and decision support according to the real-time situation. In the existing video monitoring system, a 1+1 mode monitoring technical architecture which is naturally formed for a long time is adopted, namely, one camera outputs one video stream, and the video monitoring system is oriented to one function or purpose. For example, some cameras are responsible for large screen monitoring, some cameras are responsible for capturing faces, and some cameras are responsible for license plate recognition. Technically, a 1+1 mode adopts a framework of 'source image video compression → transmission → rear-end feature extraction and analysis recognition', wherein the tasks of front-end equipment are video acquisition, compression and transmission, and the tasks of a cloud server are processing and analysis, including video decompression, manual verification, object detection, mode recognition, event analysis and the like. The advantage of this mode is that the installation and commissioning of the device is relatively simple. However, since feature extraction and analysis identification need to be done on decoding the reconstructed image video, compression will certainly affect its performance. In order to reduce transmission bandwidth and save storage, part of video monitoring systems are even over-compressed, so that the quality of image videos is too low, visual features are damaged, and the analysis and identification precision is seriously influenced.

Therefore, a monitoring device which can independently and simultaneously monitor various city management targets in real time and perform accurate image recognition in real time is urgently needed in the prior art.

SUMMERY OF THE UTILITY MODEL

The utility model aims to achieve the technical purpose of providing a device.

According to the technical object, the utility model provides a compound eye camera device for smart city grid management, compound eye camera device includes compound eye lens unit 1 and host computer 2, compound eye lens unit 1 is the cuboid appearance, on four sides of cuboid, all set up a set of compound eye lens array of many focal length combinations on each side, all include a short focal length camera 3 in the compound eye lens array, the focus of short focal length camera 3 is 2~4 mm; the system also comprises 4 middle-focus cameras 4, wherein the focal length of each middle-focus camera 4 is 15 mm; still include 10 long focus cameras 5, long focus camera 5's focus is 25 mm. A light shielding plate 6 is provided at the edge of each side of the fly-eye lens unit 1.

The host 2 comprises a video image fusion arithmetic unit and a wireless communication module, wherein the video fusion arithmetic unit fuses and splices the multiple paths of video images acquired by each compound eye lens array

In one embodiment, the video fusion arithmetic unit fuses and splices the multiple video images acquired by each fly-eye lens array, the short-focus lens 3 realizes the panoramic range shooting of the shooting scene, and the shooting range of the spliced image formed by the middle-focus camera 4 and the long-focus camera 5 is overlapped with the shooting range of the short-focus camera 3, and forms the high-definition image shooting. The resolution of the stitched image formed by the middle focus camera 4 and the long focus camera 5 is higher than 40000 × 30000 pixels.

The utility model discloses an invent point lies in, the utility model discloses utilize compound eye camera lens array to obtain the fusion image of high resolution to the image recognition for the grid-like management in wisdom city provides the image that can realize accurate effective image recognition. Simultaneously the utility model discloses in set compound eye camera device to the local 4 compound eye lens arrays of group towards 4 not equidirectionals to video monitoring is being carried out to four not equidirectionals at a camera installation position having been realized.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.

Drawings

The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, together with the description of embodiments of the invention, serve to explain the invention and not to limit the invention. In the drawings:

fig. 1 is a schematic structural view of a compound-eye imaging apparatus according to the present invention;

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in detail with reference to fig. 1.

As shown in fig. 1, the compound eye camera device of the present invention includes a compound eye lens unit 1 and a host 2, wherein the compound eye lens unit 1 is in the shape of a cuboid, and a group of compound eye lens arrays with multi-focal-length combination is disposed on each of four sides of the cuboid, each compound eye lens array includes a short-focal-length camera 3, and the focal length of the short-focal-length camera 3 is 2-4 mm; the system also comprises 4 middle-focus cameras 4, wherein the focal length of each middle-focus camera 4 is 15 mm; still include 10 long focus cameras 5, long focus camera 5's focus is 25 mm. A light shielding plate 6 is provided at the edge of each side of the fly-eye lens unit 1.

The host 2 comprises a video image fusion arithmetic unit and a wireless communication module, the video fusion arithmetic unit fuses and splices multiple paths of video images acquired by each compound-eye lens array, the short-focus lens 3 realizes the shooting of the panoramic range of a shooting scene, and the shooting range of the spliced image formed by the middle-focus camera 4 and the long-focus camera 5 coincides with the shooting range of the short-focus camera 3, and forms the image shooting with high definition. The resolution of the stitched image formed by the middle focus camera 4 and the long focus camera 5 is higher than 40000 × 30000 pixels. The spliced image is transmitted to a remote server through a wireless communication module, and the remote server performs image recognition on the high-resolution image.

In the smart city grid management work, the high-resolution image is an important premise for accurate and effective image recognition. Therefore, the utility model provides a compound eye camera device does not want remote server to provide real-time video image, but provides high resolution image to remote server at each scheduled time point, for example, reports the high resolution fusion image of expressing four different directions that is obtained by four compound eye camera lens arrays to remote server by compound eye camera device every 2 minutes regularly. Therefore, the data capacity reported to the remote server in the whole intelligent city grid management monitoring system can be effectively reduced. Meanwhile, because the fused image acquired by the compound eye lens array in the embodiment has ultrahigh resolution, image information at a far distance can be acquired as much as possible, and the number of the compound eye imaging devices is reduced.

Claims

1. A compound eye camera device for smart city grid management is characterized by comprising a compound eye lens unit (1) and a host (2); the compound eye lens unit (1) is in a cuboid shape, and a group of compound eye lens arrays combined by multiple focal distances are arranged on each of four side surfaces of the cuboid; the compound eye lens array comprises short-focus cameras (3), and the focal length of each short-focus camera (3) is 2-4 mm; the device also comprises 4 middle-focus cameras (4), wherein the focal length of each middle-focus camera (4) is 15 mm; the system also comprises 10 long-focus cameras (5), wherein the focus of each long-focus camera (5) is 25 mm; a light shielding plate (6) is arranged at the edge of each side surface of the fly-eye lens unit (1);

the host (2) comprises a video image fusion arithmetic unit and a wireless communication module, and the video image fusion arithmetic unit fuses and splices the multiple paths of video images acquired by each compound eye lens array.