Innovations in Pharmaceutical Manufacturing through Edge AI for Process Optimization and Standard Compliance

Authors

  • Anil Kumar
  • Nitu Sehrawat
  • Kaushal Sharma
  • Vijay Kumar
  • Megha Sehgal

DOI:

https://doi.org/10.63001/tbs.2025.v20.i03.pp591-596

Keywords:

EdgeAI, Embedded Systems, Pharmaceutical Manufacturing, Real-Time Processing, Predictive Maintenance,, Smart Quality Control

Abstract

EdgeAI integrates artificial intelligence with edge computing, enabling real-time decision-making in industrial applications.

In pharmaceutical manufacturing, EdgeAI enhances process efficiency, predictive maintenance, and quality control by

analyzing data locally, reducing cloud dependency, and improving system responsiveness. This paper examines the role of

EdgeAI and embedded systems in optimizing pharmaceutical production, ensuring regulatory compliance, and minimizing

downtime. A review of recent advancements highlights how AI-driven edge computing enables rapid fault detection,

automated drug formulation monitoring,

Downloads

Published

2025-09-16

How to Cite

Anil Kumar, Nitu Sehrawat, Kaushal Sharma, Vijay Kumar, & Megha Sehgal. (2025). Innovations in Pharmaceutical Manufacturing through Edge AI for Process Optimization and Standard Compliance. The Bioscan, 20(3), 591–596. https://doi.org/10.63001/tbs.2025.v20.i03.pp591-596