Analog Meter Reading via Image Processing and Hough Transform
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Solution Overview
Problem
Current methods for reading analog meters require trained personnel to travel and interpret measurements, leading to potential errors, resource inefficiencies, and high costs associated with replacing these meters with digital alternatives.
Innovation Solution
A meter reading system that processes video data from analog meters using models like the Hough transform and Gaussian blur to identify dial features, estimate needle angles, and calculate readings, thereby reducing human error and resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If trained personnel manually read analog meters, then measurement capability is maintained, but human error and resource consumption increase
Solution Approach 1:
The patent replaces the manual mechanical reading process with an automated image processing system. A camera captures images of the analog meter, and computer algorithms automatically detect the needle position, dial markings, and calculate the reading, eliminating human intervention and associated errors.
Solution Approach 2:
The system creates a digital copy of the analog meter through image capture. The camera takes photographs of the meter face, and image processing algorithms analyze this digital representation to extract measurement data, replacing the need for physical human observation.
2Measurement precision
If analog meters are replaced with digital meters, then reading accuracy improves, but cost and implementation complexity increase
Solution Approach 1:
The image processing system can read multiple types of analog meters (different dial configurations, needle positions, and scales) using the same core technology. This universal approach allows accurate reading of existing analog meters without requiring replacement, maintaining compatibility across various meter types.
Solution Approach 2:
The patent introduces an intermediary image processing system between the analog meter and the reading process. Instead of directly replacing meters, the system uses cameras and software as intermediaries to capture and interpret meter readings, bridging the gap between analog devices and digital analysis.
3Productivity
If manual meter reading is performed, then existing analog meters can be used, but time and resource efficiency decrease
Solution Approach 1:
The automated system enables continuous meter reading operations. Cameras can capture images at regular intervals, and the image processing algorithms continuously analyze the meter position, eliminating the discontinuous nature of manual reading where personnel must physically travel to each meter.
Solution Approach 2:
The system makes the meter reading process self-service by automating the detection and calculation. The image processing algorithms automatically identify needle positions, interpret dial markings, and compute readings without requiring human travelers to physically access and read each meter, enabling remote and automated monitoring.
Data Source
AI summary
A device may receive frames of a video capturing an analog meter with a dial and a needle, may process the frames to identify a center, a radius, and a perimeter of the dial, and may determine calibrated values for the dial. The device may apply a model to one of the frames to create a base mask, may apply thresholding for a dynamic HSV bounding value, to the base mask and the frames, to create masked frames, and may identify contours for the masked frames. The device may identify a quantity of points for each of the contours, may estimate angles of the needle of the analog meter based on the quantity of points, and may average the estimated angles to determine an averaged needle angle. The device may determine a needle direction based on the averaged needle angle and may calculate a meter reading.