Case Study
AI-Powered Defect Detection in High-Volume Tobacco Processing
In large-scale tobacco production, Non-Tobacco Related Material (NTRM) can slip past machines, affecting quality and efficiency. This case study shows how a tobacco company improved NTRM detection using AI and computer vision with industrial cameras—reducing waste and improving output.
Download the case study to discover:
How one of India’s top tobacco processors used AI and computer vision to detect 94% of NTRM in real time
How EO, IR, and NIR cameras helped reduce batch rejection by 80%—without replacing existing machines
How Replicant’s system enabled 40% manpower reduction and a 45-day ROI through smarter sorting