Image Processing Technology and Deep Learning Application: In Relation to the Context of Laser Positioning

Abstract

In the current investigation, there was the use of the technology of machine vision. The usage of this technology was informed by the need to have the laser spot’s highest energy positioned precisely, eventually allowing for the facilitation of further product work piece joining. Indeed, the joining occurred in laser welding machinery. Relative to the displacement phase, it is notable that it could aid in work piece placement into superposition areas, upon which there could be the joining of the parts. Training programs or models that were used involved convolutional neural network and deep learning, which allowed for the resultant system’s enhancement of the accuracy with which the positioning could be achieved. Also, the aforementioned algorithms were insightful because they led to the enhancement of machine work efficiency. Similarly, in the study, there was the proposing of a bi-analytic deep learning localization technique. For the purpose of system monitoring in real time, there was the use of a camera. As such, the initial stage entailed the application of the convolutional neural network, which aided in the implementation of large-scale initial searchers before having the laser light spot zone located. In turn, the phase that followed entailed increasing the camera’s optical magnification, which paved the way for the spot area’s re-imaging, as well as the application of a template matching method to ensure that high-precision repositioning was achieved. When the parameter of the search result area’s ratio was considered, it could be seen that the study was able to determine the target spot’s integrity parameters. For the case of the complete laser spot, there was the performance of the centroid calculation. Also, in situations where an incomplete laser spot reflected the target, there was the performance of invariant moments’ operation. From the findings, the study indicated that from incomplete laser spot images, the laser spot’s highest energy could be positioned precisely. The study also established that in order to establish the displacement amount, the image’s center and the laser spot’s highest energy could be overlapped.

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