Abstract
This paper proposes a deep learning based approach for multi- meter intelligent detection and recognition under complex background. Firstly, SSD is used to detect the meter images and get the category and boxes of meters. Then the key point detection model is used to get the center point, the zero point, full-scale point and the end point of the pointer. Finally the indication is calculated through those key points. The experimental results show that the method can simultaneously identify different pointer meters, the error of key point is 2.8252 pixels and the average relative error is only 1.37%, which has high robustness and recognition accuracy.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
