Locating and Extracting Circuit Symbols from Circuit Diagrams Through Computer Vision
Abstract
Electronic diagrams are beneficial and effective tools for planning and preparing to install electricity in facilities around the world. If the individual components of the diagrams, as well as their interconnections, are recognized and identified quickly, errors and mistakes in wiring can be avoided. Algorithmic efficiency is an important element to consider when designing a program for automatic circuit symbol interpretation because it can prevent time and money loss during circuit implementation. With the use of computer vision, we automate the process of locating and identifying components of circuit diagrams in this study. The particular method we used, template matching, paired with neural network training allows for quicker and more efficient recognition of templates within the images used for experimentation.
Locating and Extracting Circuit Symbols from Circuit Diagrams Through Computer Vision
Founders Hall 140 A
Electronic diagrams are beneficial and effective tools for planning and preparing to install electricity in facilities around the world. If the individual components of the diagrams, as well as their interconnections, are recognized and identified quickly, errors and mistakes in wiring can be avoided. Algorithmic efficiency is an important element to consider when designing a program for automatic circuit symbol interpretation because it can prevent time and money loss during circuit implementation. With the use of computer vision, we automate the process of locating and identifying components of circuit diagrams in this study. The particular method we used, template matching, paired with neural network training allows for quicker and more efficient recognition of templates within the images used for experimentation.
