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Voice Guidance System for color recognition Based on IoT

Computer Systems Science & Engineering 2023年第4期45卷 839-855页

作者： Wen-Tsai Sung Guan-Rong Chen Sung-Jung Hsiao Department of Electrical Engineering National Chin-Yi University of TechnologyTaichung411030TaiwanChina Department of Information Technology Takming University of Science and TechnologyTaipei City11451TaiwanChina

We often need to identify the colors of such objects as buildings,clothing,photos,and traffic signs in everyday *** people cannot distinguish among such *** study proposes a method to help people,including colorblind people,identify *** establish a platform for color identification that is connected by the Internet of Things(IoT).The Espressif Systems 32(ESP32)single chip is connected to a Wi-Fi communication network to transmit data to the color identification *** system interface is displayed in the form of color code and color name *** speech synthesis module Speech Synthesizer Node 6288(SYN6288)is used to broadcast color-related *** there are many color conversion technologies in modern times,or other color recognition methods are not applicable to the guide-blind ***,the authors use the method of reading out color-related information to directly enable colorblind people to conveniently identify the colors of *** experiments:the accuracy of various colors,the accuracy of environmental impact,the comparison of the original sensing experiment and the effect of adding interference light sources,the time required for color sensing to identify various colors,and the interference test results of any color light source,it is proved that the research mentioned in this *** proposed method can not only improve the rate of recognition of the system in different environments,but can also accurately identify a variety of *** platform is integrated with the IoT to allow users to quickly monitor the displayed data.

关键词： Internet of Things color recognition SYN6288 ESP32

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Quality assessment of processed Eucommiae Cortex based on the color and tensile force

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Medicine in Novel Technology and Devices 2022年第4期16卷 162-171页

作者： Haiying Xu Lanqing Li Chunmei Tan Juanjuan Han Linghang Qu Jiyuan Tu Xianqiong Liu Kang Xu Hubei Engineering Technology Research Center of Chinese Materia Medica Processing College of PharmacyHubei University of Chinese MedicineWuhan430065China

Eucommiae Cortex(EC),the dried stem bark of Eucommia ulmoides Oliv,has been traditionally used to strengthen the muscle and bone tissues and improve liver and kidney functions in East Asian countries,including China,Japan,and ***-fried EC(SFEC)is made by using mixing EC and saline together based on the protocol of Chinese Materia Medica Processing(CMMP)for clinical ***,the clinical effectiveness of SFEC is directly impacted by the frying temperature and *** precise techniques for evaluating the caliber of SFEC have yet to be ***,this study aimed to establish a fast and accurate quality-check method for SFEC decoction *** to the frying temperature and time,four different categories of SFEC had been got according to the Chinese Pharmacopoeia method as Raw(R),Under(U),Moderately(M),and Overly(O).The red(R),green(G),blue(B),and light(L)color values of the decoction pieces were quantitated using the Photoshop software to determine the standard value range of the L color(raw[104.44±15.06],under[67.28±8.20],moderately[39.94±6.40],and over[15.02±5.03]).Additionally,the tensile strengths and pinoresinol diglucoside(PDG)levels of EC gum-silks were measured using the mechanical tensile test and HPLC,*** also conducted Pearson correlation analysis on the L color value,EC gum-silk tension(FbcN),and PDG level,and established the following muliple-linear regression equation:the decline in PDG level(w)=0.829-0.001×FbeN-0.009×*** conclusion,the L color value and FbeN could be used for cluster analysis of four categories of ***,based on the correlation among the L color value,gum-silk tensile test,and PDG level,a rapid and accurate quality-control method for SFEC decoction pieces with different frying temperatures and durations was *** method facilitates the manufacturing of efficacious SFEC.

关键词： Eucommia ulmoides Oliv color recognition Tensile test Pattern recognition Content prediction

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Silk Ball Pitching Detection Strategy based on Binocular Vision

Silk Ball Pitching Detection Strategy based on Binocular Vis...

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第37届中国控制会议

作者： Chan Li Lei Cheng Yating Dai Rui Peng Yang Chen Huaiyu Wu Engineering Research Center for Metallurgical Automation and Measurement Technology of Ministry of Education Wuhan University of Science and Technology Institute of Robotics and Intelligent Systems Wuhan University of Science and Technology

Most of the research on intelligent pitching robots only focuses on robot control, ball recognition and tracking. In this paper, silk ball pitching detection strategy is proposed. color recognition, ellipse fitting and binocular distance measurement are combined to realize recognition and position and detection of silk ball pitching. When silk ball is pitched, ribbons interfere with the shape of the ball, thus affecting the recognition. color recognition avoids this problem effectively. Firstly, the silk ball and the ball frame are respectively identified through color recognition and ellipse fitting. Then, it is judged whether the silk ball appears in the frame area by the acquired image. In this case, the silk ball judged in the frame area may not be in the frame area actually,maybe in front of the frame area or behind the frame area. Secondly, the three-dimensional coordinates of the silk ball in the frame area are calculated according to the binocular distance measurement principle and coordinate transform ***, whether the silk ball appears in the frame area is judged through the calculated silk ball’s actual position. Through many experiments, a higher accuracy rate is obtained, meanwhile, the rationality and feasibility of the method are also proved.

关键词： Binocular vision silk ball pitching detection color recognition ellipse fitting coordinate transform

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Horizontal Relative Posture recognition Based on Binocular Camera

Horizontal Relative Posture Recognition Based on Binocular C...

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第37届中国控制会议

作者： Chao Wang Li Zhu Dong Wang Wei Wang School of Control Science and Engineering Dalian University of Technology

In this paper,a horizontal relative pose recognition algorithm based on binocular camera is proposed and is validated by a series of *** experiments use the binocular camera to obtain the *** on the HSV（Hue,Saturation,Value） spectrum model,we can identify the target board in the vertical camera place and obtain the position information of the target ***,in light of the proposed algorithm,the deflection angle in the horizontal direction is *** successful implementation of the real-time color identifying and deflection angle measurement technique are demonstrated by letting the binocular camera identify and measure target object with special color and posture.

关键词： Binocular camera Gesture recognition color recognition Line detection OpenCV

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