Detection and Identification Method of Dangerous Goods under X-ray Based on Improved YOLOv3

2019 ◽  
Author(s):  
Hong Zhang ◽  
Boyuan Xue ◽  
Qiang Zhi ◽  
Yiwen Fu ◽  
Lingfei Han ◽  
...  
Keyword(s):  
X Ray ◽  
Identification Method ◽  
Dangerous Goods ◽  
Detection And Identification

scholarly journals Research on latent defect detection technology of high voltage cable

2021 ◽  
Vol 2113 (1) ◽  
pp. 012051
Author(s):  
Sanwei Liu ◽  
Chao Qiu ◽  
Yi Xie ◽  
Jianjia Duan ◽  
Fuyong Huang ◽  
...  
Keyword(s):  
Buffer Layer ◽  
High Voltage ◽  
Power Cables ◽  
X Ray ◽  
Depth Processing ◽  
Modern Development ◽  
Detection And Identification ◽  
Detection Technology ◽  
Intelligent Detection ◽  
The Internet Of Things

Abstract As a component of the Internet of things, high-voltage cables are the power supply infrastructure for the modern development of cities. The operation experience shows that the high-voltage cable has been broken down many times, due to the defective operation. At present, due to the limitation of detection technology, the research on detection and identification of defects in high-voltage cables is progressing slowly. Therefore, a new DR technology based on X-ray digital imaging is proposed in this paper to realize real-time detection of defects in the semi-conductive buffer layer of high-voltage cables, and intelligent detection of DR images of high-voltage cables by using image depth processing technology to realize intelligent identification of defects in the buffer layer of power cables. The results show that using the new DR technique proposed in this paper, the accurate and intuitive DR image of high-voltage cable can be obtained quickly, and the intelligent identification of defects can be realized.

POSE ROBUST HUMAN DETECTION IN DEPTH IMAGES USING MULTIPLY-ORIENTED 2D ELLIPTICAL FILTERS

2010 ◽  
Vol 24 (05) ◽  
pp. 691-717 ◽  
Author(s):  
SANG-HO CHO ◽  
TAEWAN KIM ◽  
DAIJIN KIM
Keyword(s):  
Human Identification ◽  
Human Detection ◽  
Stereo Images ◽  
Bhattacharyya Distance ◽  
Identification Method ◽  
Depth Images ◽  
Detection And Identification ◽  
The Face ◽  
Human Pose ◽  
Spatial Depth

This paper proposes a pose robust human detection and identification method for sequences of stereo images using multiply-oriented 2D elliptical filters (MO2DEFs), which can detect and identify humans regardless of scale and pose. Four 2D elliptical filters with specific orientations are applied to a 2D spatial-depth histogram, and threshold values are used to detect humans. The human pose is then determined by finding the filter whose convolution result was maximal. Candidates are verified by either detecting the face or matching head-shoulder shapes. Human identification employs the human detection method for a sequence of input stereo images and identifies them as a registered human or a new human using the Bhattacharyya distance of the color histogram. Experimental results show that (1) the accuracy of pose angle estimation is about 88%, (2) human detection using the proposed method outperforms that of using the existing Object Oriented Scale Adaptive Filter (OOSAF) by 15–20%, especially in the case of posed humans, and (3) the human identification method has a nearly perfect accuracy.

Parameter identification method for dual-energy X-ray imaging

2015 ◽  
Vol 76 ◽  
pp. 38-42 ◽  
Author(s):  
Sergei Osipov ◽  
Eduard Libin ◽  
Sergei Chakhlov ◽  
Oleg Osipov ◽  
Alexander Shtein
Keyword(s):  
Parameter Identification ◽  
Dual Energy ◽  
X Ray ◽  
Identification Method ◽  
X Ray Imaging

Application of Metallographic Analysis Techniques for Detection and Identification of Spray Paint Defects

2017 ◽  
Vol 270 ◽  
pp. 118-123
Author(s):  
Michaela Remešová ◽  
Lenka Klakurková ◽  
Ivana Ročňáková ◽  
Ladislav Čelko ◽  
Lucie Páleníková ◽  
...  
Keyword(s):  
Substrate Material ◽  
Consumer Electronics ◽  
Metallographic Analysis ◽  
Surface Appearance ◽  
X Ray ◽  
Detection And Identification ◽  
Digital Microscope ◽  
Negative Effect ◽  
Paint Films

The paper is focused on the metallographic analysis of spray paint films with defects. The painting has two important roles. Firstly, it protects the substrate material (ferrous, nonferrous and plastic) and secondly, it improves the appearance of the surface. Appearance and quality of painting film play an important role in the industry (automotive, aerospace, consumer electronics, etc.). Defects of spray painting film, which have a negative effect on the appearance of the product, can be detected and further analysed by common methods used in metallography. Such methods are very effective tool for revealing the cause of defects and their elimination within the technological process (degreasing, cleaning, pickling, drying, technological discipline, etc.). In this paper, defects were characterized by high-resolution digital microscope (LM) and scanning electron microscope (SEM) equipped with energy dispersive X-ray analyser (EDX).

scholarly journals Methods of the Detection and Identification of Structural Defects in Saturated Metallic Composite Castings

2017 ◽  
Vol 17 (3) ◽  
pp. 37-44 ◽  
Author(s):  
K. Gawdzińska
Keyword(s):  
Electron Microscopy ◽  
Complex Structure ◽  
Gravimetric Method ◽  
Structural Defects ◽  
X Ray ◽  
Metallic Composite ◽  
Detection And Identification ◽  
Metallic Composites ◽  
Non Destructive ◽  
Scanning Electron

Abstract Diagnostics of composite castings, due to their complex structure, requires that their characteristics are tested by an appropriate description method. Any deviation from the specific characteristic will be regarded as a material defect. The detection of defects in composite castings sometimes is not sufficient and the defects have to be identified. This study classifies defects found in the structures of saturated metallic composite castings and indicates those stages of the process where such defects are likely to be formed. Not only does the author determine the causes of structural defects, describe methods of their detection and identification, but also proposes a schematic procedure to be followed during detection and identification of structural defects of castings made from saturated reinforcement metallic composites. Alloys examination was conducted after technological process, while using destructive (macroscopic tests, light and scanning electron microscopy) and non-destructive (ultrasonic and X-ray defectoscopy, tomography, gravimetric method) methods. Research presented in this article are part of author’s work on castings quality.

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