Improved Smart Reading System for the Electrical Energy Meters
Keywords:
AMR, Raspberry Pi3, OCR, CloudAbstract
This paper presents a novel design for smart electric energy meters without changing the traditional electricity meter. It collects these readings in a central unit using the Internet. This design is useful for the purpose of avoiding human errors and frequent visits specifically when the homeowner is not around as well as having difficult access to remote areas. Also to keep up with the developed countries that use AMR (Automatic Meter Reading). The distinguishing point of the proposed design is that no change has been made to the internal fitting of the currently available conventional counter. The point is to install a camera facing the meter that takes a picture of the meter reading. Then, this image is processed with a Raspberry Pi3 (as processing unit) and converted to text using the OCR (optical character recognition) algorithm while recording the reading history. After that, it will be sent to the cloud (represented by the google drive spreadsheet) via the Internet, and this information will be collected from all consumers and will be ready to monitor electrical loads, record bills, give loads and costs reports to consumers, and thus participate in rationalizing electrical energy consumption.
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