Intelligent Instrument Reader Using Computer Vision and Machine Learning

Sowah, Robert A.; Ofoli, Abdul R.; Mensah-Ananoo, Eugene; Mills, Godfrey A.; Koumadi, Koudjo M.

doi:10.1109/ias.2018.8544601

Cited by 2 publications

(2 citation statements)

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“…In the pixel coordinate system of the primary search region, the horizontal coordinate X pointer of the pointer and the horizontal coordinates X l-scale and X r-scale of the scale lines corresponding to the scale value text on both sides of the pointer are worked out, as shown in Figure 9. And reading is performed according to Equation (10).…”

Section: -X Pointer L-scalementioning

confidence: 99%

“…Because most of these meters have no digital communication interface, the manual reading method is usually adopted, but the manual detection cost is high and the efficiency is low, which is insufficient to meet the real-time and intelligent monitoring requirements in industry [ 2 ]. The automatic reading of pointer meters [ 3 , 4 , 5 , 6 , 7 ] can save a lot of labor and time costs for factories, so it has great practical value [ 8 , 9 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

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A High-Robust Automatic Reading Algorithm of Pointer Meters Based on Text Detection

Zhu

Zhou

Sheng

et al. 2020

Sensors

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Automatic reading of pointer meters is of great significance for efficient measurement of industrial meters. However, existing algorithms are defective in the accuracy and robustness to illumination shooting angle when detecting various pointer meters. Hence, a novel algorithm for adaptive detection of different pointer meters was presented. Above all, deep learning was introduced to detect and recognize scale value text in the meter dial. Then, the image was rectified and meter center was determined based on text coordinate. Next, the circular arc scale region was transformed into a linear scale region by polar transform, and the horizontal positions of pointer and scale line were obtained based on secondary search in the expanded graph. Finally, the distance method was used to read the scale region where the pointer is located. Test results showed that the algorithm proposed in this paper has higher accuracy and robustness in detecting different types of meters.

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Section: -X Pointer L-scalementioning

confidence: 99%