Follow-Up Control and Image Recognition of Neck Level for Standard Metal Gauge
An image recognition technique is proposed for determining optimal neck levels for standard metal gauges, in the process of validating pipe provers. A camera-level follow-up control system was designed to achieve automated tracking of fluid levels by a camera, thereby preventing errors from inclined...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-09-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/10/18/6624 |