The Application of Machine Vision in Automatic Assembly of Locks

2013 ◽  
Vol 646 ◽  
pp. 158-163
Author(s):  
Qing Min Liu ◽  
Cheng Zhang Gu ◽  
Zhi Kui Liu ◽  
Ling Zhao

In the automatic assembly of locks system the pins’ selection depends on depth of key’s groove. Although the kinds of groove’s depth are fixed, the arrangements are random and they can’t be unpredictable. The difference in depth of key’s groove is very small, so it can’t be judged by eyes accurately. To solve the problem that the pins assembly is tried frequently, the depth of keys’ groove can be measured accurately by the machine vision. So the problem of the serious influence production efficiency is solved successfully. This kind lock is widely used and machine’s cost is very low by allocation. The experiments show that this method fully met the locks automatic assembly system requirements from the assembly precision, real time performance and robustness and other aspects, solving the problems encountered in the lock assembly.

2008 ◽  
Vol 392-394 ◽  
pp. 1030-1036 ◽  
Author(s):  
Yue Ming Wu ◽  
Han Wu He ◽  
J. Sun ◽  
T. Ru ◽  
De Tao Zheng

A real time hand tracking and gesture recognition approach which can deal with dynamic backgrounds is presented. This approach is based on computer vision. It segments hand from dynamic backgrounds using the color-based and appearance-based methods. Then, it locates the hand according to marker on the hand. Last, it recognizes the gesture based on geometry constraint of hand. In comparison with the traditional approaches, it provides a good real time performance, is easy to realize, does not require a stationary camera and is not sensitive with intensity different because its gesture recognition does not depend on the templates. Moreover, an augmented assembly system using the presented approach is described. The experiment result of the augmented assembly system demonstrated the effectiveness and robustness of our approach.


2016 ◽  
Vol 96 ◽  
pp. 428-435 ◽  
Author(s):  
Phansak Nerakae ◽  
Pichitra Uangpairoj ◽  
Kontorn Chamniprasart

2011 ◽  
Vol 483 ◽  
pp. 668-673
Author(s):  
Xiao Dong Wang ◽  
Lin Wang ◽  
Xi Wen Zhang ◽  
Yi Luo ◽  
Li Ping Liu

Since miniature parts have the characteristics of small sizes, low strength and rigidity, and they are easily to be damaged during the process of assembly, a concept for micro-stress assembly was proposed. In order to achieve micro-stress assembly, an automatic assembly system based on machine vision and force feedback was developed. Finite element method was used to analyze the influencing factors causing assembly stress. In order to handle various kinds of parts, a new type of combined gripper was developed, furthermore, the gripper integrated with force feedback and a compliant structure can detect and control the manipulating force.


2020 ◽  
Vol 10 (19) ◽  
pp. 6968
Author(s):  
Jinlin Gu ◽  
Mingchao Zhu ◽  
Lihua Cao ◽  
Ang Li ◽  
Wenrui Wang ◽  
...  

Aiming at on-orbit automatic assembly, an improved uncalibrated visual servo strategy for hyper-redundant manipulators based on projective homography is proposed. This strategy uses an improved homography-based task function with lower dimensions while maintaining its robustness to image defects and noise. This not only improves the real-time performance but also makes the joint space of hyper-redundant manipulator redundant to the homography-based task function. Considering that the kinematic parameters of the manipulator are easily changed in a space environment, the total Jacobian between the task function and manipulator joints is estimated online and used to construct a controller to directly control the manipulator joints without a kinematics model. When designing the controller, the above-mentioned redundancy is exploited to solve the problem of the over-limiting of the joint angles of the manipulator. The KF-SVSF method, which combines the optimality of the Kalman filter (KF) and the robustness of the smooth variable structure filter (SVSF), is introduced to the field of uncalibrated visual servos for the first time to perform the online estimation of the total Jacobian. In addition, the singular value filtering (SVF) method is adopted for the first time to avoid the interference caused by the unstable condition number of the estimated total Jacobian. Finally, simulations and experiments verify the superiority of this strategy in terms of its real-time performance and precision.


2018 ◽  
Vol 232 ◽  
pp. 03010
Author(s):  
Zhiming Wang ◽  
Changfu Pang ◽  
Zhenglong Cai ◽  
Lizhen Cui

At present, at least one or two overturn valves are required in each automobile production process. However, the production and assembly of overturn valve is still in the stage of manual assembly, which leads to low production efficiency. This paper mainly designs a fully automatic assembly system based on the structure of the overturn valve. The automatic assembly system includes loading, assembly, transportation of blanks and other work stations, and automatic assembly based on the PLC control system. At the same time, the human interaction page touch screen is used for data monitoring and parameter setting. The experimental results show that the assembly system can complete the automatic assembly of the overturning valve of the fuel tank stably and reliably


2014 ◽  
Vol 39 (5) ◽  
pp. 658-663 ◽  
Author(s):  
Xue-Min TIAN ◽  
Ya-Jie SHI ◽  
Yu-Ping CAO

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