A Vehicle Dimensions Dynamic Detection Method Based on Image Recognition

2021 ◽  
Author(s):  
Feng’an Zhao ◽  
Gangfeng Tan ◽  
Bin Luo ◽  
Wenchao Sun ◽  
Jiaming Feng ◽  
...  
Keyword(s):  
Image Recognition ◽  
Detection Method ◽  
Dynamic Detection

Method of Dynamic Detection for Clutch of Real Vehicle Based on RFID Technology

2012 ◽  
Vol 605-607 ◽  
pp. 1031-1037
Author(s):  
Li Hui Yu ◽  
Li Rong Wang
Keyword(s):  
Service Life ◽  
Real Time ◽  
Detection Method ◽  
Transmission System ◽  
Wireless Transmission ◽  
Rfid Technology ◽  
Transmission Method ◽  
Simulation Results ◽  
Dynamic Detection ◽  
Real Vehicle

In this paper, we discussed a method of dynamic detection for clutch of real vehicle based on RFID technology. Clutch is a key component in vehicle. It ensures smooth start and shift and prevents overload of transmission system. Traditional detection method is to measure on a simulated working table. But the combining process of start and shift in bad condition can bring other troubles which lead to possible damage and reduce the service life of clutch. So, it is very important to detect Clutch of real vehicle in real time. Firstly, we discussed clutch of real vehicle important parameter. Secondly, a wireless transmission method is provided by RFID. Finally, a simulation results is given.

Detection for Rail Route State Deformation Based on Trap-Down Inertial Technology

2013 ◽  
Vol 459 ◽  
pp. 136-143 ◽  
Author(s):  
Xiao Dong Chai ◽  
Shu Bin Zheng ◽  
Wen Fa Zhu ◽  
Qi Zhen Jiang
Keyword(s):  
Real Time ◽  
Experimental Verification ◽  
Detection Method ◽  
Proper Solution ◽  
Dynamic Detection ◽  
Time Update ◽  
Attitude Matrix

Aim at the route deformation of rail state, a non-contact dynamic detection method based on trap-down inertial technology, was studied. Further study on integrated acceleration and real-time update of attitude matrix was made to put forward a proper solution. By experimental verification, this method is feasible and the error is within 5mm.

A Dynamic Malware Detection Approach by Mining the Frequency of API Calls

2014 ◽  
Vol 519-520 ◽  
pp. 309-312 ◽  
Author(s):  
Jin Rong Bai ◽  
Zhen Zhou An ◽  
Guo Zhong Zou ◽  
Shi Guang Mu
Keyword(s):  
Detection Rate ◽  
Detection Method ◽  
Malware Detection ◽  
Experimental Results ◽  
Detection Approach ◽  
Dynamic Detection

Dynamic detection method based on software behavior is an efficient and effective way for anti-virus technology. Malware and benign executable differ mainly in the implementation of some special behavior to propagation and destruction. A program's execution flow is essentially equivalent to the stream of API calls. Analyzing the API calls frequency from six kinds of behaviors in the same time has the very well differentiate between malicious and benign executables. This paper proposed a dynamic malware detection approach by mining the frequency of sensitive native API calls and described experiments conducted against recent Win32 malware. Experimental results indicate that the detection rate of proposed method is 98% and the value of the AUC is 0.981. Furthermore, proposed method can identify known and unknown malware.

A Novel Dynamic Detection Method of Impact Factor Considering Deterioration of Pavement Roughness

2018 ◽  
Vol 48 (4) ◽  
pp. 20180071
Author(s):  
Chen Guang Liu ◽  
Zong Lin Wang ◽  
Qing Fei Gao ◽  
Yong Sun
Keyword(s):  
Impact Factor ◽  
Detection Method ◽  
Pavement Roughness ◽  
Dynamic Detection

Recognition System for Fatigue Facial Expression of Driver

2014 ◽  
Vol 644-650 ◽  
pp. 4174-4177
Author(s):  
Xue Mei Wang ◽  
Jia Jun Zhang
Keyword(s):  
Facial Expression ◽  
Image Recognition ◽  
Detection Method ◽  
Recognition Rate ◽  
Recognition System ◽  
Attention Mechanism ◽  
Experimental Results ◽  
Feature Points ◽  
Driver Fatigue ◽  
Recognition Model

In order to improve the accuracy of recognition system for fatigue facial expression of driver, driver fatigue expression of this paper, the detection method for key feature points in the fatigue facial expression image of driver is applied in the paper to establish a fatigue expression image recognition model based on attention mechanism. Experimental results show that the algorithm can improve the recognition rate of driver's expression image, so as to record fatigue expression image of driver more accurate.

Research on Burning Zone Detection Method Based on Flame Image Recognition for Ceramic Roller Kiln

2014 ◽  
Vol 602-605 ◽  
pp. 1761-1767
Author(s):  
Yong Hong Zhu ◽  
Peng Li
Keyword(s):  
Image Recognition ◽  
Working Conditions ◽  
Detection Method ◽  
Firing Process ◽  
Detection Accuracy ◽  
Process Data ◽  
Fusion Algorithm ◽  
Roller Kiln ◽  
Burning Zone ◽  
Ceramic Roller

In the firing process of ceramic products, the sintering conditions vary from firing phase to firing phase. In different firing phases, flame texture changes obviously, so it can be used as a important parameter of burning zone identification for ceramic roller kiln. In this paper, both flame image recognition of simulating artificial-look-fire and multi-point temperature detection technology are used to detect burning zone working conditions of ceramic roller kiln so as to greatly improve detection accuracy. The key data fusion algorithm of PTCR-based point detection temperature and flame image recognition–based detection method of burning zone working condition for ceramic roller kiln are proposed. The temperature measurement experiment system scheme of ceramic roller kiln burning zone is also given. The system can fuse the key process data with flame image characteristics so as to get the comprehensive database used to judge burning zone working conditions and temperatures. In the end, The testing experiment was carried out. The experimental results show that the method proposed above is feasible and effective.

Research on Bolt Crack Detection Method Based on Image Processing

2013 ◽  
Vol 433-435 ◽  
pp. 426-429
Author(s):  
Jin Qiu Liu ◽  
Bing Fa Zhang ◽  
Yu Zeng Wang ◽  
Guang Ya Li ◽  
Jing Ru Han
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Image Recognition ◽  
Crack Detection ◽  
Detection Method ◽  
Image Acquisition ◽  
Detection Methods ◽  
Detection Accuracy ◽  
Contact Detection ◽  
Fracture Identification

A method of non-contact detection of bolt fracture have serial steps as follows: First of all the required data is obtained through image acquisition, then through the edge detection, image recognition and other image processing on the image to get the bolt fracture identification results, finally the non-contact measurement bolt fracture is realized. Experiments show that bolt crack detection method based on image processing, compared with the traditional detection methods improve the efficiency of detection and improve the detection accuracy. The method for bolt crack detection is feasible.

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