Year: 2025
Type: article
Abstract: The pharmaceutical industry is increasingly adopting computer vision technologies to enhance process accuracy, streamline operations, and maintain regulatory compliance. As production volumes grow and quality standards tighten, traditional manual methods struggle to meet industry demands. This paper reviews the role of computer vision—particularly models like YOLO11 in automating critical pharmaceutical tasks such as pill identification, packaging inspection, inventory tracking, and pharmacy workflow optimization. By enabling real-time visual recognition and analysis, computer vision systems improve product quality control, reduce inventory errors, and support efficient retail pharmacy operations. The integration of vision-based AI into pharmaceutical environments is helping manufacturers, distributors, and pharmacies achieve greater consistency, safety, and operational excellence.
Authors: BH D D Priyanka -, Dr .k. Selva Kumar -, Dr. Karuna Arava -
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411463698