Alignment error detection method of sub-eye mounting hole for bionic compound eye system

2019 ◽  
Vol 12 (4) ◽  
pp. 880-887
Author(s):  
张 广 ZHANG Guang ◽  
王新华 WANG Xin-hua ◽  
李大禹 LI Da-yu
Keyword(s):  
Error Detection ◽  
Compound Eye ◽  
Detection Method ◽  
Alignment Error

scholarly journals Bacterial colonies detecting and counting based on enhanced CNN detection method

2021 ◽  
Vol 233 ◽  
pp. 02012
Author(s):  
Shousheng Liu ◽  
Zhigang Gai ◽  
Xu Chai ◽  
Fengxiang Guo ◽  
Mei Zhang ◽  
...  
Keyword(s):  
Target Detection ◽  
Error Detection ◽  
Detection Rate ◽  
Detection Method ◽  
Difficult Problem ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Detection Model ◽  
Confidence Threshold ◽  
Small Targets

Bacterial colonies detecting and counting is tedious and time-consuming work. Fortunately CNN (convolutional neural network) detection methods are effective for target detection. The bacterial colonies are a kind of small targets, which have been a difficult problem in the field of target detection technology. This paper proposes a small target enhancement detection method based on double CNNs, which can not only improve the detection accuracy, but also maintain the detection speed similar to the general detection model. The detection method uses double CNNs. The first CNN uses SSD_MOBILENET_V1 network with both target positioning and target recognition functions. The candidate targets are screened out with a low confidence threshold, which can ensure no missing detection of small targets. The second CNN obtains candidate target regions according to the first round of detection, intercepts image sub-blocks one by one, uses the MOBILENET_V1 network to filter out targets with a higher confidence threshold, which can ensure good detection of small targets. Through the two-round enhancement detection method has been transplanted to the embedded platform NVIDIA Jetson AGX Xavier, the detection accuracy of small targets is significantly improved, and the target error detection rate and missed detection rate are reduced to less than 1%.

The Fault Detection Method of CAN Bus Based on Network Resistance Model

2011 ◽  
Vol 58-60 ◽  
pp. 1948-1952
Author(s):  
Chuan Qiang Yu ◽  
Zhen Dong Qi ◽  
Zhen Ye Wang ◽  
Yu Wang
Keyword(s):  
Fault Detection ◽  
Error Detection ◽  
Data Exchange ◽  
Detection Method ◽  
Can Bus ◽  
High Reliability ◽  
Detection Mechanism ◽  
Network Bandwidth ◽  
Resistance Model ◽  
Bus Network

In the error detection mechanism of CAN bus, when the failed node or line is not in the data exchange path, you will not detect the fault, in order to solve this problem, a method is proposed which is realized by adding an external hardware detection circuit in the CAN-bus network, the fault will be detected through testing the resistance of the CAN bus network. In this paper, the network resistance model of CAN bus is established, and the principle of network resistance fault detection method is analyzed. We have carried out several experiments by the network with three nodes to test the validity of this method. As the results of our experiments, we concluded that the method can real-time and comprehensively detect the fault of network and do not take up the network bandwidth, so this method can effectively resolve the problems of current detection mechanism and have good application prospect in some high reliability requirements occasions.

scholarly journals A Novel Vehicle Detection Method Based on the Fusion of Radio Received Signal Strength and Geomagnetism

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 58 ◽  
Author(s):  
Liangliang Lou ◽  
Jinyi Zhang ◽  
Yong Xiong ◽  
Yanliang Jin
Keyword(s):  
Error Detection ◽  
Detection Method ◽  
Signal Strength ◽  
Vehicle Detection ◽  
Received Signal Strength ◽  
Detection Accuracy ◽  
Detection Problem ◽  
Traffic Light ◽  
Radio Stations ◽  
Multiple Detection

A geomagnetic signal blind zone exists between the front and rear axle of high-chassis vehicle such as trucks and buses, which leads to multiple-detection problem in detecting those vehicles running at low speed on roads or error-detection problem in the case of the stopping position of the vehicle is not standard when waiting for the traffic light to change. In order to improve the detection accuracy of any type of vehicle running at any speed, a novel two-sensors data fusion vehicle detection method through combining received signal strength from radio stations with geomagnetism around vehicles is designed and verified in the paper. Experimental results show that the accuracy of our proposed method can reach 95.4% and traditional single magnetism-based detection method was only 83.4% in the detection of high-chassis vehicles.

The Assembly Error Detection of Automotive Airbag Based on Machine Vision

2015 ◽  
Vol 738-739 ◽  
pp. 694-698
Author(s):  
Xiao Dong Wang ◽  
Qi Liu ◽  
Wei Zhang
Keyword(s):  
Machine Vision ◽  
Error Detection ◽  
Template Matching ◽  
Assembly Line ◽  
Detection Method ◽  
Ccd Camera ◽  
Processing Method ◽  
Canny Edge Detection ◽  
Canny Edge ◽  
Assembly Error

Based on the principle of machine vision technology, we designed a methodto detect the outline dimensions of automotive airbag quickly and accurately. We Used CCD camera obtain the airbag image, through the image processing method ofsmooth filtering andgray-scale transformationto complete pre-processing, finally applied Canny edge detection operator to extract the boundary of the airbag contour features,and then took the template matching methodto detect assemble error of the airbag image whether meet the requirement.The results show that the detection method have a higher precision, and the time is very short, it can improve the sampled positioningerror detection for the all checks image recognition detection, suitable for application in real-time online detection of airbag assembly line.

Focusing Error Detection Method in Microholographic Data Storage System Using Polarization Characteristics

2011 ◽  
Vol 50 (9S1) ◽  
pp. 09ME07
Author(s):  
Taeseob Kim ◽  
Chang-Hyuk Im ◽  
Sang-Hyuck Lee ◽  
Nakyeong Kim ◽  
No-Cheol Park ◽  
...  
Keyword(s):  
Data Storage ◽  
Error Detection ◽  
Detection Method ◽  
Storage System ◽  
Polarization Characteristics ◽  
Data Storage System

New Focusing Error Detection Method Using Concentrically Separated Light Beams for Multi-Layer Discs

2005 ◽  
Author(s):  
Kenya Nakai ◽  
Hironori Nakahara ◽  
Daisuke Matsubara ◽  
Toshiya Matozaki ◽  
Nobuo Takeshita ◽  
...  
Keyword(s):  
Error Detection ◽  
Detection Method ◽  
Light Beams

An error detection method for real‐time EPID‐based treatment delivery quality assurance

2020 ◽  
Author(s):  
Victor Gabriel Leandro Alves ◽  
Mahmoud Ahmed ◽  
Eric Aliotta ◽  
Wookjin Choi ◽  
Jeffrey Vincent Siebers
Keyword(s):  
Quality Assurance ◽  
Real Time ◽  
Error Detection ◽  
Detection Method ◽  
Treatment Delivery
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