Winter-jujube is a kind of fresh fruit in China. After harvest, winter-jujubes require to grade into different categories according to their maturity levels. Mature winter-jujube can be recognized by their red colour....
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Winter-jujube is a kind of fresh fruit in China. After harvest, winter-jujubes require to grade into different categories according to their maturity levels. Mature winter-jujube can be recognized by their red colour. In this study, a winter-jujube grading robot is designed. Moreover, a method combining yolov3 algorithm and handengineered features is developed to calculate the maturity of winter-jujube. The grading robot is composed of a transmission unit, an image acquisition unit, and an actuator unit. Based on yolov3 algorithm, a detection model is trained, and compared with SSD and Faster R-CNN algorithms. When the IoU are 0.7, 0.8, and 0.9, the F1 scores of the model are 100%, 100%, and 93.66%, respectively. The mAP (IoU = 0.50:0.05:0.95) of the model is 94.78%, and the detection time of single image is 0.042 s. The detection model exhibits a high stability under different lighting conditions. In addition, overlapping winter-jujubes in the image can be detected accurately. After image distortion correction and object detection, an image processing flow for spatial positioning, size measurement and maturity calculation for winter-jujubes is designed. Finally, a real-time grading device for winter-jujube is built to perform grading experiments. The maturity grading accuracy is 97.28%, and the average grading time of each winter-jujube is 1.39 s.
The health condition of engine which is the key part of modern aircraft determines whether the aircraft can safely carry out the flight mission. As for the detection of the mainstream technology, borescope inspection ...
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ISBN:
(纸本)9781728176871
The health condition of engine which is the key part of modern aircraft determines whether the aircraft can safely carry out the flight mission. As for the detection of the mainstream technology, borescope inspection technology can effectively diagnose the fault and provide a strong guarantee for the next maintenance work. Recently the hardware of borescope inspection technology develops rapidly, but the grade of automation and intelligence is relatively inferior. It is necessary to develop a model detecting flaw parts for borescope equipment because of the lack of the corresponding software system. However, complex conditions inside the engine and various injures types will affect the image quality and increase the difficulty of recognition. In this paper, the yolov3 algorithm is applied to the detection task of aero-engine blade damage. Compared with other algorithms, yolov3 could have a good tradeoff between detection accuracy and detection speed. In this paper, a network model which could detect the aeroengine fans faults images automatically is trained by train data set. Then, test set is fed into it as follow to verify the validity of detection results, visual analysis is also performed on these results. Finally, our research method demonstrates us a satisfied recognition results of blade damages.
On-board relative localization is one of the crucial technologies for unmanned aerial vehicle (UAV) formation *** order to maintain the shape of a formation, it is necessary to maintain the distances between individua...
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ISBN:
(纸本)9781728158556
On-board relative localization is one of the crucial technologies for unmanned aerial vehicle (UAV) formation *** order to maintain the shape of a formation, it is necessary to maintain the distances between individual pairs of UAVs fixed, and all UAVs moves as a rigid entity. This paper presents a high-precision relative pose estimation method for UAV formation flight within the framework of ROS based on the camera ("standard load" of small UAV) and the deep learning algorithm. Indoor and outdoor experiments were conducted and the results show that the proposed algorithm can estimate the position of UAV member with accuracy at 0.18m.
This project plans to design a kind of identification system which can be used to identify the maritime personnel in distress and equipment to be rescued under the clear sea surface. The system can be carried on unman...
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ISBN:
(纸本)9781728197241
This project plans to design a kind of identification system which can be used to identify the maritime personnel in distress and equipment to be rescued under the clear sea surface. The system can be carried on unmanned aerial vehicle (UAV), and the existing yolov3 algorithm is used for torget recognition. It can identify the maritime distress personnel and rescue equipment wearing life jackets under clear se a surface, so as to assist in further search and rescue decision making, and solve or partially resolve the existing problems in search and rescue technology.
Aiming at the problem of monitoring of national coastal and border ships, a monitoring System of border ships equipped with cameras was proposed by using YOL0v3(You only look once) algorithm and AIS (Automatic Identif...
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ISBN:
(纸本)9781728128658
Aiming at the problem of monitoring of national coastal and border ships, a monitoring System of border ships equipped with cameras was proposed by using YOL0v3(You only look once) algorithm and AIS (Automatic Identification System) System. Firstly, the characteristics of the border environment conditions are analyzed, then the advantages of the border ship monitoring system that can be mounted on the camera are analyzed based on the characteristics of the camera image. Finally, the three functional modules and the core algorithm of the system are introduced. This system is equipped with a camera to carry out real-time monitoring of the border and carries out country analysis, cross-border intention and ship type judgment on the border ships. The feedback of the judgment results to the manual control end facilitates timely preventive measures, which is of great significance for the future national maritime border defense.
This project plans to design a kind of identification system which can be used to identify the maritime personnel in distress and equipment to be rescued under the clear sea *** system can be carried on unmanned aeria...
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This project plans to design a kind of identification system which can be used to identify the maritime personnel in distress and equipment to be rescued under the clear sea *** system can be carried on unmanned aerial vehic le(UAV),and the existing yolov3 algorithm is used for ta rget *** can identify the maritime distress person nel and rescue equipment wearing life jackets under clear se a surface,so as to assist in further search and rescue decision making,and solve or partially resolve the existing problems i n search and rescue technology.
On-board relative localization is one of the crucial technologies for unmanned aerial vehicle（UAV） formation *** order to maintain the shape of a formation,it is necessary to maintain the distances between individua...
详细信息
On-board relative localization is one of the crucial technologies for unmanned aerial vehicle（UAV） formation *** order to maintain the shape of a formation,it is necessary to maintain the distances between individual pairs of UAVs fixed,and all UAVs moves as a rigid *** paper presents a high-precision relative pose estimation method for UAV formation flight within the framework of ROS based on the camera（ "standard load" of small UAV） and the deep learning *** and outdoor experiments were conducted and the results show that the proposed algorithm can estimate the position of UAV member with accuracy at 0.18 m.
Aiming at the problem of monitoring of national coastal and border ships,a monitoring System of border ships equipped with cameras was proposed by using yolov3(You only look once) algorithm and AIS(Automatic Identific...
详细信息
Aiming at the problem of monitoring of national coastal and border ships,a monitoring System of border ships equipped with cameras was proposed by using yolov3(You only look once) algorithm and AIS(Automatic Identification System) ***,the characteristics of the border environment conditions are analyzed,then the advantages of the border ship monitoring system that can be mounted on the camera are analyzed based on the characteristics of the camera ***,the three functional modules and the core algorithm of the system are *** system is equipped with a camera to carry out real-time monitoring of the border and carries out country analysis,cross-border intention and ship type judgment on the border *** feedback of the judgment results to the manual control end facilitates timely preventive measures,which is of great significance for the future national maritime border defense.
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