A Timely Object Recognition Method for Construction using the Mask R-CNN Architecture

2021 ◽  
Author(s):  
Dena Shamsollahi ◽  
Osama Moselhi ◽  
Khashayar Khorasani
Keyword(s):  
Object Recognition ◽  
Recognition Method

scholarly journals A Robot Object Recognition Method Based on Scene Text Reading in Home Environments

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1919
Author(s):  
Shuhua Liu ◽  
Huixin Xu ◽  
Qi Li ◽  
Fei Zhang ◽  
Kun Hou
Keyword(s):  
Object Recognition ◽  
Recognition Accuracy ◽  
Multiple Objects ◽  
Recognition Method ◽  
Home Environments ◽  
Complex Scenes ◽  
Scene Text ◽  
Text Reading ◽  
Text Images ◽  
Chinese And English

With the aim to solve issues of robot object recognition in complex scenes, this paper proposes an object recognition method based on scene text reading. The proposed method simulates human-like behavior and accurately identifies objects with texts through careful reading. First, deep learning models with high accuracy are adopted to detect and recognize text in multi-view. Second, datasets including 102,000 Chinese and English scene text images and their inverse are generated. The F-measure of text detection is improved by 0.4% and the recognition accuracy is improved by 1.26% because the model is trained by these two datasets. Finally, a robot object recognition method is proposed based on the scene text reading. The robot detects and recognizes texts in the image and then stores the recognition results in a text file. When the user gives the robot a fetching instruction, the robot searches for corresponding keywords from the text files and achieves the confidence of multiple objects in the scene image. Then, the object with the maximum confidence is selected as the target. The results show that the robot can accurately distinguish objects with arbitrary shape and category, and it can effectively solve the problem of object recognition in home environments.

scholarly journals Flexible Rope Manipulation Using Elastic Deformation Modeling by Dual Manipulator System with Vision Sensor

2004 ◽  
Vol 16 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Takayuki Matsuno ◽  
◽  
Toshio Fukuda ◽  
Fumihito Arai ◽  
Yasuhisa Hasegawa ◽  
...  
Keyword(s):  
Object Recognition ◽  
Elastic Deformation ◽  
Object Manipulation ◽  
Object Model ◽  
Vision Sensor ◽  
Recognition Method ◽  
Simple Task ◽  
System A

In this paper we propose a flexible object manipulation method by a dual manipulator system. A flexible object such a rope and paper is easily deformed and has hysteresis. Various approaches have been made on the research for the flexible object manipulation. However in the former research works, the manipulator system works only simple task. For more complex works with flexible object, the robot has to hand over the flexible object. So, we propose a flexible object recognition method which can hand over a flexible object using vision information and flexible object model. The dual manipulator system tied a cylinder object with flexible rope by repeating handing over actions in the experiment.

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