AUTOMATED VISUAL INSPECTION OF PHARMACEUTICAL TABLETS USING THE KEYENCE-VSL160CX
Автор: Gagan Acharya
Загружено: 2025-12-03
Просмотров: 11
This video present project on automated tablet inspection using the Keyence VS-L160CX industrial machine vision system.
The goal of the project is to demonstrate how AI-assisted machine vision can enhance quality control in the pharmaceutical industry by identifying shape defects, cracks, coating inconsistencies, and color deviations with high accuracy.
Throughout this presentation, we explain:
🔹 Why automated visual inspection is essential in pharmaceutical manufacturing
🔹 How the Keyence VS-L160CX camera captures and analyzes tablet images
🔹 The role of ShapeTrax, Defect Detection, Area Measurement, and Color Analysis
🔹 Complete workflow: image capture → preprocessing → feature extraction → PASS/FAIL classification
🔹 Results from reference tablets, individual samples, and batch inspections
🔹 Strengths, limitations, and industrial applicability of the system
🔹 Future improvements using deep learning and robotic automation
This project demonstrates how machine vision and AI support Industry 4.0 by delivering accurate, fast, and repeatable inspection results suitable for high-throughput environments.
Thank you for watching!
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