A System for Conversion of Hand-drawn Electrical circuit to Digital circuit: A Deep learning approach | IEEE Conference Publication | IEEE Xplore

A System for Conversion of Hand-drawn Electrical circuit to Digital circuit: A Deep learning approach


Abstract:

The conversion of hand-drawn circuit to digital image is very essential for designers to save their rough sketch. Due to COVID-19, the teaching-learning process has becom...Show More

Abstract:

The conversion of hand-drawn circuit to digital image is very essential for designers to save their rough sketch. Due to COVID-19, the teaching-learning process has become completely virtual. In this scenario, the present work on conversion of hand-drawn circuit to digital circuit is expected to help the faculty and students of engineering circuit branches. The MobileNet SSD architecture is used for detection of resistors, capacitors, inductors and battery in the hand-drawn circuit. Image overlay and skeletonization technique are used to obtain the digital image. In the present work, very few electrical components are considered for modeling; however, the proposed system can be extended (trained) for more number of electrical components and can be deployed in mobile applications with ease.
Date of Conference: 06-08 July 2021
Date Added to IEEE Xplore: 03 November 2021
ISBN Information:
Conference Location: Kharagpur, India

References

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