scholarly journals Virtual Touch Sensor Using a Depth Camera

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 885 ◽  
Author(s):  
Dong-seok Lee ◽  
Soon-kak Kwon
Keyword(s):  
Depth Camera ◽  
Touch Panel ◽  
Touch Sensor ◽  
Weight Parameter ◽  
Touch Point ◽  
Point Detection ◽  
Touch Interfaces

In this paper, a virtual touch sensor using a depth camera is proposed. Touch regions are detected by finding each region that consists of pixels within a certain distance from a touch surface. Touch points are detected by finding a pixel in each touch region whose neighboring pixels are closest to surfaces. A touch path error due to noise in the depth picture is corrected through a filter that introduces a weight parameter in order to respond quickly even with sudden changes. The virtual touch sensor is implemented by using the proposed methods for the touch point detection and the touch path correction. In the virtual touch sensor, a touch surface and pixels of a depth picture can be regarded as a virtual touch panel and virtual touch units, respectively. The virtual touch sensor can be applied to wide fields of touch interfaces. Results of simulations show the implementation of the touch-pen interface using the virtual touch sensor.

scholarly journals Contamination Improvement of Touch Panel and Color Filter Production Processes of Lean Six Sigma

2019 ◽  
Vol 9 (9) ◽  
pp. 1893 ◽  
Author(s):  
Chia-Nan Wang ◽  
Po-Chih Chiu ◽  
I-Fang Cheng ◽  
Ying-Fang Huang
Keyword(s):  
Six Sigma ◽  
Lean Six Sigma ◽  
Color Filter ◽  
Improvement Rate ◽  
Touch Panel ◽  
Touch Sensor ◽  
Average Defect ◽  
Component Manufacturing ◽  
One Year ◽  
Touch Panels

Color filter (CF) and touch panel (or touch sensor (TS)) are important components for optoelectronic materials and component manufacturing. Due to the cut-throat world of market in the manufacturing, the processes of color filters are similar to touch sensors. The case invested in the production of touch panels in 2009. After a long period of quality improvement, the problem of contamination pollution still accounts for ~30% of the total variation. In addition to the external problem, there is also the fail of communication caused by dirt or peeling. Therefore, the case was established to improve the dirt defect by setting up Lean Six Sigma project, and the project goal was to reduce the proportion to 0.18%. After three months of improvement and three months of continuous observation, the abnormal proportion of pollution decreased from 0.35% of the overall average defect loss to 0.13% (the improvement rate reached 63%). It is estimated that the entire product can generate 3 million (USD) of performance for the case in one year. It is also possible to increase the customer’s satisfaction and the company’s technical competitiveness by improving yield and achieving the continuous improvement of objectives.

scholarly journals Cutting Point Detection Using a Robot with Point Clouds for Tomato Harvesting

2020 ◽  
Vol 32 (2) ◽  
pp. 437-444
Author(s):  
Takeshi Yoshida ◽  
Takanori Fukao ◽  
Takaomi Hasegawa ◽  
◽  
Keyword(s):  
Point Cloud ◽  
Point Clouds ◽  
Depth Camera ◽  
End Effector ◽  
Point Detection ◽  
Cutting Point ◽  
Harvesting Robot

This paper proposes a method to detect cutting points on tomato peduncles using a harvesting robot. The main objective of this study was to develop automated harvesting robots. The harvesting robot was equipped with an RGB-D (Red, Blue, Green, and Depth) camera to detect peduncles and an end effector to harvest tomatoes. Robots must be able to detect where to cut crops during harvesting. The proposed method was used to detect the cutting points on peduncles using a point cloud captured by the RGB-D camera. Our robot was used to identify the cutting points on target tomato peduncles at an actual farm to demonstrate the effectiveness of our approach experimentally. Using the proposed method, the harvesting robot could detect the cutting points on tomatoes.

scholarly journals Touch-point Detection using Thermal Video with Applications to Prevent Indirect Virus Spread

2021 ◽  
pp. 1-1
Author(s):  
Guangshen Ma ◽  
Weston Ross ◽  
Matthew Tucker ◽  
Po-Chun Hsu ◽  
Daniel M. Buckland ◽  
...  
Keyword(s):  
Virus Spread ◽  
Touch Point ◽  
Point Detection ◽  
Thermal Video

Voice-supported Active Touch Panel Using Micro Touch Sensor with PZT Thin Film

2003 ◽  
Vol 15 (4) ◽  
pp. 384-390
Author(s):  
Gui Ryong Kwon ◽  
◽  
Fumihito Arai ◽  
Toshio Fukuda ◽  
Koichi Itoigawa ◽  
...  
Keyword(s):  
Thin Film ◽  
Active Touch ◽  
Online Information ◽  
Navigation Systems ◽  
Touch Panel ◽  
Thin Film Sensors ◽  
Touch Sensor ◽  
Pzt Thin Film ◽  
The Many ◽  
The Voice

Today's automobiles serve not only as vehicles but also as mobile offices combining communication tools such as cellphones and car navigation systems providing online information services. The many switches are conventionally distributed on the dashboard. A move is under way, however, to combine them into a multifunctional touch panel. We propose a voice-supported active touch panel. Since information feedback to the operator is important in ensuring correct function selection, the panel we designed combines a vibrator and voice explanation. Touch sensors use PZT thin film sensors. The voice explanation uses a quick response system. This paper reports the features and configuration of the voice-supported active touch panel.

Investigation of a Capacitor Array of a Composite Capacitive Touch Panel

2018 ◽  
Vol 47 (5) ◽  
pp. 22-29
Author(s):  
T. Terent’ev ◽  
◽  
V. Shakhnov ◽  
A. Vlasov ◽  
A. Krivoshein ◽  
...  
Keyword(s):  
Touch Panel ◽  
Capacitor Array
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