High-speed and high-precision online detection system of the tile smoothness

2012 ◽  
Author(s):  
Bo You ◽  
Jintao Hu ◽  
Jiazhong Xu ◽  
Yanan Miao
Keyword(s):  
High Precision ◽  
High Speed ◽  
Detection System ◽  
Online Detection

scholarly journals High-Precision Low-Cost Gimballing Platform for Long-Range Railway Obstacle Detection

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 474
Author(s):  
Elio Hajj Assaf ◽  
Cornelius von von Einem ◽  
Cesar Cadena ◽  
Roland Siegwart ◽  
Florian Tschopp
Keyword(s):  
Long Range ◽  
High Precision ◽  
High Speed ◽  
Detection System ◽  
Low Cost ◽  
Obstacle Detection ◽  
Numerical Control ◽  
Railway Network ◽  
Lever System ◽  
Novel Approach

Increasing demand for rail transportation results transportation by rail, resulting in denser and more high-speed usage of the existing railway network, making makes new and more advanced vehicle safety systems necessary. Furthermore, high traveling speeds and the greatlarge weights of trains lead to long braking distances—all of which necessitates Long braking distances, due to high travelling speeds and the massive weight of trains, necessitate a Long-Range Obstacle Detection (LROD) system, capable of detecting humans and other objects more than 1000 m in advance. According to current research, only a few sensor modalities are capable of reaching this far and recording sufficiently accurate enoughdata to distinguish individual objects. The limitation of these sensors, such as a 1D-Light Detection and Ranging (LiDAR), is however a very narrow Field of View (FoV), making it necessary to use ahigh-precision means of orienting to target them at possible areas of interest. To close this research gap, this paper presents a novel approach to detecting railway obstacles by developinga high-precision pointing mechanism, for the use in a future novel railway obstacle detection system In this work such a high-precision pointing mechanism is developed, capable of targeting aiming a 1D-LiDAR at humans or objects at the required distance. This approach addresses To address the challenges of a low target pricelimited budget, restricted access to high-precision machinery and equipment as well as unique requirements of our target application., a novel pointing mechanism has been designed and developed. By combining established elements from 3D printers and Computer Numerical Control (CNC) machines with a double-hinged lever system, simple and cheaplow-cost components are capable of precisely orienting an arbitrary sensor platform. The system’s actual pointing accuracy has been evaluated using a controlled, in-door, long-range experiment. The device was able to demonstrate a precision of 6.179 mdeg, which is at the limit of the measurable precision of the designed experiment.

Research of Picture Adaptive Processing for Packaging Printing Online Detection

2013 ◽  
Vol 469 ◽  
pp. 368-371
Author(s):  
Wan You Tang ◽  
Zhen Rong Wang ◽  
Rui Xue Jiang
Keyword(s):  
High Speed ◽  
Detection Efficiency ◽  
Detection System ◽  
Adaptive Processing ◽  
Online Detection ◽  
Detection Algorithms ◽  
Wide Range ◽  
Similarity Algorithm ◽  
High Detection Efficiency ◽  
Printing Machine

In the process of printing machines increasing and reduction of speed, the image collected from online detection system for different speed of printing needs picture adaptive processing. In this paper, there are two methods put forward to realize above goal. One method is sequential similarity detection algorithms and the other is ratio value. Apply with VC++ programming to realize image matching on the premise of the unique CCD detection equipment. The experiment results show that: sequential similarity algorithm on the premise of printing machine running in low speed, by comparing with threshold to realize variable-speed imaging. The ratio value method can be used for a variety of printing speed and it has high speed, high detection efficiency and wide range of application.

Detection System for Scratch on the Wheel Tread of Train Based on PSD

2012 ◽  
Vol 249-250 ◽  
pp. 9-14
Author(s):  
Ping He ◽  
Ying Li ◽  
Yuan Guo ◽  
Pan Li
Keyword(s):  
Human Computer Interaction ◽  
High Precision ◽  
High Speed ◽  
High Efficiency ◽  
Detection System ◽  
High Reliability ◽  
Computing System ◽  
Machine Interface ◽  
Moving Train ◽  
Scratch Detection

At present, scratch on the wheel tread of train is detected mostly in low-speed circumstance in China. For this reason, a high-precision detection system for scratch on the wheel tread of train based on PSD which adapts to high-speed moving train is presented. Firstly, the principle of scratch detection based on PSD is given. Then, the acquisition and computing system for scratch on the wheel tread of train based on PSD is designed with TMS320F2812. Finally, the human-computer interaction system based on Visual Studio 6.0 is designed. The results show that the detection system for scratch on the wheel tread of train based on PSD can realize detection for scratch on the wheel tread of train and have advantages of high precision, high efficiency, high reliability and well human-machine interface.

scholarly journals Variable step control to improve scanning speed of gene sequencing stage

2021 ◽  
pp. 002029402110022
Author(s):  
Xiaohua Zhou ◽  
Jianbin Zheng ◽  
Xiaoming Wang ◽  
Wenda Niu ◽  
Tongjian Guo
Keyword(s):  
Motion Control ◽  
High Precision ◽  
High Speed ◽  
Stable State ◽  
Gene Sequencing ◽  
Scanning Speed ◽  
Settling Time ◽  
Step Motion ◽  
Variable Step ◽  
Step Control

High-speed scanning is a huge challenge to the motion control of step-scanning gene sequencing stage. The stage should achieve high-precision position stability with minimal settling time for each step. The existing step-scanning scheme usually bases on fixed-step motion control, which has limited means to reduce the time cost of approaching the desired position and keeping high-precision position stability. In this work, we focus on shortening the settling time of stepping motion and propose a novel variable step control method to increase the scanning speed of gene sequencing stage. Specifically, the variable step control stabilizes the stage at any position in a steady-state interval rather than the desired position on each step, so that reduces the settling time. The resulting step-length error is compensated in the next acceleration and deceleration process of stepping to avoid the accumulation of errors. We explicitly described the working process of the step-scanning gene sequencer and designed the PID control structure used in the variable step control for the gene sequencing stage. The simulation was performed to check the performance and stability of the variable step control. Under the conditions of the variable step control where the IMA6000 gene sequencer prototype was evaluated extensively. The experimental results show that the real gene sequencer can step 1.54 mm in 50 ms period, and maintain a high-precision stable state less than 30 nm standard deviation in the following 10 ms period. The proposed method performs well on the gene sequencing stage.

scholarly journals Rapid Foreign Object Detection System on Seaweed Using VNIR Hyperspectral Imaging

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5279
Author(s):  
Dong-Hoon Kwak ◽  
Guk-Jin Son ◽  
Mi-Kyung Park ◽  
Young-Duk Kim
Keyword(s):  
Object Detection ◽  
Real Time ◽  
Hyperspectral Imaging ◽  
High Speed ◽  
Detection System ◽  
Imaging Techniques ◽  
Foreign Object ◽  
Subtraction Method ◽  
Foreign Objects ◽  
Time Operation

The consumption of seaweed is increasing year by year worldwide. Therefore, the foreign object inspection of seaweed is becoming increasingly important. Seaweed is mixed with various materials such as laver and sargassum fusiforme. So it has various colors even in the same seaweed. In addition, the surface is uneven and greasy, causing diffuse reflections frequently. For these reasons, it is difficult to detect foreign objects in seaweed, so the accuracy of conventional foreign object detectors used in real manufacturing sites is less than 80%. Supporting real-time inspection should also be considered when inspecting foreign objects. Since seaweed requires mass production, rapid inspection is essential. However, hyperspectral imaging techniques are generally not suitable for high-speed inspection. In this study, we overcome this limitation by using dimensionality reduction and using simplified operations. For accuracy improvement, the proposed algorithm is carried out in 2 stages. Firstly, the subtraction method is used to clearly distinguish seaweed and conveyor belts, and also detect some relatively easy to detect foreign objects. Secondly, a standardization inspection is performed based on the result of the subtraction method. During this process, the proposed scheme adopts simplified and burdenless calculations such as subtraction, division, and one-by-one matching, which achieves both accuracy and low latency performance. In the experiment to evaluate the performance, 60 normal seaweeds and 60 seaweeds containing foreign objects were used, and the accuracy of the proposed algorithm is 95%. Finally, by implementing the proposed algorithm as a foreign object detection platform, it was confirmed that real-time operation in rapid inspection was possible, and the possibility of deployment in real manufacturing sites was confirmed.

High-speed and high-precision fluorescence-based cell count and viability assays using the Cellaca™ MX high-throughput cell counter

Cytotherapy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. S97
Author(s):  
J. Bell ◽  
Y. Huang ◽  
S. Yung ◽  
H. Qazi ◽  
C. Hernandez ◽  
...  
Keyword(s):  
Cell Count ◽  
High Precision ◽  
High Throughput ◽  
High Speed ◽  
Cell Counter
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