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Target detection system for communication engineering project

A technology of target detection and communication engineering, applied in the field of target detection, can solve the problems of slow detection speed, blurred moving target image, occlusion of small targets, etc., and achieve the effect of reducing bandwidth requirements, enhancing stability, and improving speed

Active Publication Date: 2021-06-15
沸蓝建设咨询有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Target detection is a very important research problem in the field of computer vision. One of its main tasks is to accurately identify and locate the target in the image. Target detection has a wide range of applications in various fields. In the field of communication technology due to Massive data transmission makes the network bandwidth resources insufficient, which poses a major challenge to the data processing mode; the target detection algorithm can detect the dynamic target in the surveillance video, such as face recognition technology, vehicle detection technology, but due to the existence of Due to the influence of illumination changes, shadows, noise interference, camera shake, and bad weather factors, the images of moving targets in surveillance videos may become blurred or even tiny targets are blocked. Although there are many complex target detection methods in the prior art Algorithm, R-FCN technology can detect tiny targets, but because the target detection algorithm is too complex, resulting in slow detection speed, YOLO technology can greatly improve the target detection speed, but it will ignore the detection of tiny targets, in order to adapt to complex and changeable The application environment can improve the real-time performance and accuracy of the target detection process, and can greatly reduce the demand for network bandwidth resources for mass data transmission. The invention provides a target detection system for communication engineering projects

Method used

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  • Target detection system for communication engineering project
  • Target detection system for communication engineering project
  • Target detection system for communication engineering project

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Embodiment Construction

[0037] Regarding the aforementioned and other technical contents, features and effects of the present invention, refer to the appended Figure 1 to Figure 5 It will be apparent from the detailed description of the embodiments. The structural contents mentioned in the following embodiments are all based on the accompanying drawings of the description.

[0038]A target detection system for a communication engineering project, including a cloud computing module, an acquisition module, an image preprocessing module, a target detection module, an image transmission module, and a control center module. The acquisition module includes an image acquisition module, a light sensing module, an environment acquisition module, Thermal sensing module, image preprocessing module includes image cleaning module, image preclassification module, image detection module, image tracking module, image transmission module includes image cache module, target transmission module, related image transmis...

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Abstract

The invention discloses a target detection system for a communication engineering project. Thetarget detection system comprises a cloud computing module, an acquisition module, an image preprocessing module, a target detection module, an image transmission module and a control center module; the system acquires an image set of a moving target through the acquisition module, and an environment analysis module acquires environment data and analyzes the environment data to obtain influence factors; the correlation analysis module and the cloud computing module detect the image by using the influence factors and R-FCN and YOLO target detection algorithms to obtain a first-class target detection result and a second-class target detection result, and the control center module analyzes the first-class target detection result and the second-class target detection result to obtain a final target detection result. According to the system, the requirement for the bandwidth of image transmission is lowered, the defect that a YOLO algorithm detects a tiny target is overcome through the combination of the two target detection algorithms, and the real-time performance and accuracy of target detection are improved.

Description

technical field [0001] The invention relates to the technical field of target detection, in particular to a target detection system for communication engineering projects. Background technique [0002] Target detection is a very important research problem in the field of computer vision. One of its main tasks is to accurately identify and locate the target in the image. Target detection has a wide range of applications in various fields. In the field of communication technology due to Massive data transmission makes the network bandwidth resources insufficient, which poses a major challenge to the data processing mode; the target detection algorithm can detect the dynamic target in the surveillance video, such as face recognition technology, vehicle detection technology, but due to the existence of Due to the influence of illumination changes, shadows, noise interference, camera shake, and bad weather factors, the images of moving targets in surveillance videos may become bl...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V10/44G06V10/56G06N3/045G06F18/241
Inventor 张奇许焕良逯小莹张玉生
Owner 沸蓝建设咨询有限公司
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