Arslan Niamat

Artificial Intelligence-Based Quality Control of Pharmaceutical Tablets: A Visual Dataset and Benchmark for Automated Defect Detection

Background/Objectives: Automated visual inspection of pharmaceutical tablets is increasingly important for detecting manufacturing defects and maintaining consistent product quality. Progress in artificial intelligence-based defect classification is, however, constrained by the s...