Improvement of Business Processes of the Company Using ML Technologies for Image Recognition

In the 1st chapter was rechered the methods of machine learning for image analysis , as well as classical and modern ones. Also, a review was conducted of modern libraries of machine learning for imaging work. In the second chapter, the main types of machine learning systems for image recognition were examined and in which areas they can be applied: • Classification of images • Biometric recognition systems • Systems of character recognition • Big Data and ML In the third chapter, a successful development of a system based on neural networks for image recognition was carried out: • Data collection was carried out • Connecting a neural network • Training on collected data • Classification of test images In the 4th chapter, there is a review of 3 systems for image recognition.Revealed their advantages and disadvantages. The study showed that machine learning has become an integral part of business. And if companies want to enter the industry leaders and have significant advantages over competitors, they should invest in machine training.