Applied and Computational Engineering, Journal Year: 2024, Volume and Issue: 71(1), P. 83 - 88
Published: Aug. 27, 2024
This essay describes the ways in which Convolutional Neural Networks (CNNs) can revolutionise use of AI many commercial applications, such as product quality inspection, automated monitoring and analysis customer behaviours. These applications provide several important improvements operational efficiency, especially for companies that used to perform human-based visual work. Moreover, through ability CNNs process real-time data, analyse defects, predict equipment failures understand preferences, then help them make decisions allocate resources effectively. Additionally, this discusses some difficulties implementing CNNs, like data requirements computing demands, well present real-life case studies implementation within different types industries. Furthermore, concludes incorporating CNN with other new technologies Internet Things (IoT) edge businesses progress achieving their goals having agile responsive operations. The mentions advantages using accuracy, cost minimisation better experiences, but also ethical concerns about privacy security.
Language: Английский