Anomaly Detection Model for Bottles in a Manufacturing Unit
Sai Lahari Sreerama, Shashank Hr, Shashank Rb, T Shankar, R Hemavathy, Ramakanth Kumar P · 2023
Emphasizing the consistent production of defect-less bottles in a manufacturing unit is crucial to ensure product integrity and customer satisfaction. Nevertheless, anomalies during the manufacturing process can lead to defects that compromise the overall quality of the bottles produced. The presented approach introduces innovation in detecting three critical anomalies in bottle manufacturing units: dents on the bottle surface, skewed caps, and deformities resulting in non-straight bottles. In conclusion, a robust anomaly detection solution tailored for the bottle manufacturing industry is contributed. By leveraging computer vision and machine learning techniques, the approach efficiently detects dents, skewed caps, and deformities in real-time, thereby facilitating improved quality control and minimized production wastage.