The relevance of the work lies in the application of universal image processing for further verification of data. The use of pattern recognition makes it possible to quickly identify errors in the manual entry of various information. The object of the research is business processes aimed at detailed monitoring and metering of electric power of IDGC of Center and Volga Region, PJSC, Udmurtenergo branch. Subject of research - the principles of design and practical application of the intellectual system in the enterprise. The aim of the work is to increase the level of reliability of commercial accounting of electricity. Development of the Intellectual Information System for Electric Power Metering (IISEPM) by applying the data collection terminals has been proposed in order to solve the problem of mobile electricity metering. The implementation of IISEPM will reduce commercial losses and improve the observability and controllability of the power grid infrastructure. For enterprises, which activities are aimed at providing services for the electricity transmission to a large number of consumers, it is important to have an accurate idea of the number of the provided services. In the modern conditions, it is possible to automate the process of collecting information, so that in the future it will be possible to verify the received data in a single processing center. Taking readings from metering devices is a necessary monthly procedure. The traditional way is that the consumer writes down the meter readings on paper, and then also manually calculates the amount of energy spent per month. The next step for the consumer is to transfer the readings taken from the power sales company, where employees record the meter readings and then also manually calculates the amount of energy spent per month. The next step for the consumer is to transfer the readings taken from the power sales company, where employees record the meter readings in the database. The user has the right to transfer data remotely by logging into his personal account on the company’s website. The power supply company, having received the consumer’s data, calculates the cost of the electricity consumed at a certain tariff and notifies the consumer about it, sending him a receipt of payment. Automation will reduce the amount of paper media. The human factor will also be excluded, which will increase the accuracy of the calculated energy consumption and, therefore, the inadmissibility of emergency situations will be achieved. Index Terms—convolutional neural network, data collection terminal, information-analytical complex, intelligent information mobile system, mobile energy accounting, pattern recognition, service-oriented architecture, Viola-Jones method.