The research aims to design and implement a prototype for an automated system that reads electrical energy meters for the consumers and collects these readings in a central unit via the World Wide Web (the Internet). This is done by adding a camera that automatically captures the meter reading of the electric meter as an alternative to the mobile meter reader. This meter reading image is processed and the value of the meter reading is extracted by using a Raspberry Pi device and the Python language depending on OCR (Optical Character Recognition) algorithm and then sent via Internet and collected from all consumers through the Internet cloud in a database in the Central Electricity Department. After collecting this information, it can be used to monitor electrical loads, record invoices, and give reports about loads and costs to consumers, and thus participate in rationalizing electrical energy consumption. The most important characteristic of the proposed model is its simplicity as it does not change anything in the structure of the meter and does not need to make any modifications to its internal composition. This system will save a lot of effort and time and contribute to reducing human errors when reading metrics and making some kind of interventions between the supplier and the consumer to reduce waste, rationalize consumption and reduce costs.