The Automatic Detection Technology for the Surface Defects of Automobile Engine Cylinder

2016 ◽  
Vol 693 ◽  
pp. 1458-1465 ◽  
Author(s):  
Jin Jun Ji ◽  
C. Ye
Keyword(s):  
Surface Defects ◽  
Automatic Detection ◽  
Geometric Distortion ◽  
Casting Defects ◽  
Automobile Engine ◽  
Fast Detection ◽  
Detection Technology ◽  
Engine Cylinder ◽  
Defect Area ◽  
Cylinder Bore

In view of the casting defects of the automobile engine cylinder, the automatic detection technology for the surface defects of cylinder was investigated in this study. Moreover, a system was designed to automatically detect the surface defects of engine cylinder bore basing on machine vision technology. The pixels of the bottom circle and top circle of cylinder bore were effectively extracted using a Hough transform-based fast detection circle algorithm; Aiming to solve the inconvenience in observation and measurement as well as the obvious geometric distortion presented in annular image, an algorithm, in which annulus was extended into rectangular, was put forward. Experiment results proved that this algorithm was fast and efficient and showed lower mean error in calculating annular defect area.

scholarly journals Nanopore Technology for the Application of Protein Detection

Nanomaterials ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1942
Author(s):  
Xiaoqing Zeng ◽  
Yang Xiang ◽  
Qianshan Liu ◽  
Liang Wang ◽  
Qianyun Ma ◽  
...  
Keyword(s):  
Single Molecule ◽  
Protein Detection ◽  
High Sensitivity ◽  
Single Molecule Detection ◽  
Sequence Detection ◽  
Fast Detection ◽  
Material Basis ◽  
Sensing Technology ◽  
Detection Technology ◽  
Structure Recognition

Protein is an important component of all the cells and tissues of the human body and is the material basis of life. Its content, sequence, and spatial structure have a great impact on proteomics and human biology. It can reflect the important information of normal or pathophysiological processes and promote the development of new diagnoses and treatment methods. However, the current techniques of proteomics for protein analysis are limited by chemical modifications, large sample sizes, or cumbersome operations. Solving this problem requires overcoming huge challenges. Nanopore single molecule detection technology overcomes this shortcoming. As a new sensing technology, it has the advantages of no labeling, high sensitivity, fast detection speed, real-time monitoring, and simple operation. It is widely used in gene sequencing, detection of peptides and proteins, markers and microorganisms, and other biomolecules and metal ions. Therefore, based on the advantages of novel nanopore single-molecule detection technology, its application to protein sequence detection and structure recognition has also been proposed and developed. In this paper, the application of nanopore single-molecule detection technology in protein detection in recent years is reviewed, and its development prospect is investigated.

Automatic detection of surface defects on fruit by using a vision system

1988 ◽  
Vol 41 (1) ◽  
pp. 1-9 ◽  
Author(s):  
A. Davenel ◽  
Ch. Guizard ◽  
T. Labarre ◽  
F. Sevila
Keyword(s):  
Surface Defects ◽  
Vision System ◽  
Automatic Detection

scholarly journals Automatic Detection Technology of Sonar Image Target Based on the Three-Dimensional Imaging

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Wanzeng Kong ◽  
Jinshuai Yu ◽  
Ying Cheng ◽  
Weihua Cong ◽  
Huanhuan Xue
Keyword(s):  
Data Storage ◽  
3D Imaging ◽  
Signal To Noise Ratio ◽  
Three Dimensional ◽  
Automatic Detection ◽  
Classification Model ◽  
Image Detection ◽  
Practical Applications ◽  
Sonar Image ◽  
Detection Technology

With 3D imaging of the multisonar beam and serious interference of image noise, detecting objects based only on manual operation is inefficient and also not conducive to data storage and maintenance. In this paper, a set of sonar image automatic detection technologies based on 3D imaging is developed to satisfy the actual requirements in sonar image detection. Firstly, preprocessing was conducted to alleviate the noise and then the approximate position of object was obtained by calculating the signal-to-noise ratio of each target. Secondly, the separation of water bodies and strata is realized by maximum variance between clusters (OTSU) since there exist obvious differences between these two areas. Thus image segmentation can be easily implemented on both. Finally, the feature extraction is carried out, and the multidimensional Bayesian classification model is established to do classification. Experimental results show that the sonar-image-detection technology can effectively detect the target and meet the requirements of practical applications.

scholarly journals On Using XMC R-CNN Model for Contraband Detection within X-Ray Baggage Security Images

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Yong Zhang ◽  
Weiwu Kong ◽  
Dong Li ◽  
Xudong Liu
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Detection Rate ◽  
Automatic Detection ◽  
User Needs ◽  
Labor Intensity ◽  
Detection Rates ◽  
X Ray ◽  
Detection Technology ◽  
Security Inspection

We present an X-ray material classifier region-based convolutional neural network (XMC R-CNN) model for detecting the typical guns and the typical knives in X-ray baggage images. The XMC R-CNN model is used to solve the problem of contraband detection in overlapped X-ray baggage images by the X-ray material classifier algorithm and the organic stripping and inorganic stripping algorithm, and better detection rate and the miss rate are achieved. The detection rates of guns and knives are 96.5% and 95.8%, and the miss rates of guns and knives are 2.2% and 4.2%. The contraband detection technology based on the XMC R-CNN model is applied to X-ray baggage images of security inspection. According to user needs, the safe X-ray baggage images can be automatically filtered in some specific fields, which reduces the number of X-ray baggage images that security inspectors need to screen. The efficiency of security inspection is improved, and the labor intensity of security inspection is reduced. In addition, the security inspector can screen X-ray baggage images according to the boxes of automatic detection, which can improve the effect of security inspection.

scholarly journals Fracture analysis and countermeasures of the grid switch castings

2020 ◽  
Vol 165 ◽  
pp. 06015
Author(s):  
Chao Feng ◽  
Siyuan Yang ◽  
Qiao Li ◽  
Mengbao Zhou ◽  
Songqi Wu ◽  
...  
Keyword(s):  
Chemical Properties ◽  
Fracture Analysis ◽  
Casting Defects ◽  
Physical And Chemical Properties ◽  
Direct Reading ◽  
X Ray ◽  
Detection Technology ◽  
Two Stages ◽  
Physical And Chemical ◽  
And Chemical Properties

Based on the detection technology of direct reading spectrum, metallographic microscope and X-ray, the defects of the grid switch castings were analyzed. The four main forms of casting fracture were summarized as poor physical and chemical properties, material misuse, casting defects and designing defects. In order to strengthen the quality control of the source of the product, it was proposed to carry out targeted network inspection in the two stages of material arrival and infrastructure acceptance.

scholarly journals Cylindricity Error Measuring and Evaluating for Engine Cylinder Bore in Manufacturing Procedure

2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Qiang Chen ◽  
Xueheng Tao ◽  
Jinshi Lu ◽  
Xuejun Wang
Keyword(s):  
Least Square Method ◽  
Least Square ◽  
Zone Method ◽  
Method Error ◽  
Measuring Device ◽  
Engine Cylinder ◽  
Minimum Zone ◽  
Cylinder Method ◽  
Cylinder Bore ◽  
Cylindricity Error

On-line measuring device of cylindricity error is designed based on two-point method error separation technique (EST), which can separate spindle rotation error from measuring error. According to the principle of measuring device, the mathematical model of the minimum zone method for cylindricity error evaluating is established. Optimized parameters of objective function decrease to four from six by assuming thatcis equal to zero andhis equal to one. Initial values of optimized parameters are obtained from least square method and final values are acquired by the genetic algorithm. The ideal axis of cylinder is fitted in MATLAB. Compared to the error results of the least square method, the minimum circumscribed cylinder method, and the maximum inscribed cylinder method, the error result of the minimum zone method conforms to the theory of error evaluation. The results indicate that the method can meet the requirement of engine cylinder bore cylindricity error measuring and evaluating.

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