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Electricity and gas meter reading is a time consuming task, which is donemanually in most cases. There are some approaches proposing use of smart metersthat report their readings automatically. However, this solution is expensiveand requires (1) replacement of the existing meters, even when they arefunctional and new, and (2) large changes of the whole system dealing with themeter readings. This paper presents results of a project on automation of themeter reading process for the standard (non-smart) meters using computer visiontechniques, focusing on the comparison of two computer vision techniques,Google Cloud Vision and AWS Rekognition.

Easy Mobile Meter Reading for Non-Smart Meters: Comparison of AWS Rekognition and Google Cloud Vision Approaches