Affiliation:
1. Aditya College of Engineering, India
2. Panimalar Engineering College, India
3. Shri Shankaracharya Technical Campus, India
4. Sri Sairam Engineering College, India
5. Indra Ganesan College of Engineering, India
Abstract
This chapter presents a system design and architecture that incorporates AI, IoT, and ML-based solutions for data collection, analysis, and interpretation in the nano-materials industry. It consists of three components: data acquisition, data analytics, and decision-making. The system incorporates robust security measures, such as authentication, access control, encryption, and Industry 4.0 principles, to ensure the security and privacy of data. The proposed system was used to collect, analyze, and interpret data from the production, resulting in improved quality, increased efficiency, and reduced waste. AI, IoT, and ML-based solutions have the potential to revolutionize nano-materials research and production, improving productivity, reducing costs, and improving quality.