Abstract
In this study, pattern recognition methods are applied to a five-degrees-of-freedom robot arm that can key in words on a touch screen for an automatic smartphone test. The proposed system can recognize Chinese characters and Mandarin phonetic symbols. The mechanical arm is able to perform corresponding movements and edit words on the screen. Pattern matching is based on the Red-Green-Blue (RGB) color space and is transformed to binary images for higher correct rate and geometric matching. A web camera is utilized to capture patterns on the tested smartphone screen. The proposed control scheme uses a support vector machine with a histogram of oriented gradient classifier to recognize Chinese Mandarin phonetic symbols and provide correct coordinates during the control process. The control scheme also calculates joint angles of the robot arm during the movement using the Denavit–Hartenberg parameters (D-H) model and fuzzy logic system. Fuzzy theory is applied to use the position error between the robot arm and target location then resend the command to adjust the arm’s position. From the experiments, the proposed control scheme can control the robot to press desired buttons on the tested smartphone. For Chinese Mandarin phonetic symbols, recognition accuracy of the test system can reach 90 percent.
Highlights
In the past decade, intelligent control has brought a huge change to our daily lives
An intelligent control scheme based on image processing, support vector machine (SVM)-histogram of oriented gradients (HOG), the Denavit–Hartenberg parameters (D-H) model and fuzzy control was applied to a robot arm for position control
This study proposed a control scheme that applied pattern recognition, fuzzy control, and SVM-HOG to a robotic smartphone testing system that can replace manual testing and reduce manpower
Summary
Intelligent control has brought a huge change to our daily lives. Image processing and robot arms play important roles in many intelligent control designs. There are a lot of applications of image processing and robot arms, such as medical surgery, automatic manufacturing, home care, food processing, etc. Robot movement needs to be designed for high precision and stability in the control process. This study is mainly focused on improving the efficiency of smartphone testing procedures so that the proposed system can replace the labor force in routine smartphone tests. Intelligent robots are used in many research fields, such as for path planning, obstacle avoidance, simultaneous localization and mapping, visual servoing control and image processing [11,12,13].
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