Online Inspection of Packed Cases

Online Inspection of Packed Cases

1 D Sai Eswara Reddy, 2 K Dinesh, 3 D Niranjan Reddy, 4 N Pavan Kumar, 5 B Harinath Reddy, 6 Sukruth Gowda M A

1,2,3,4,5 UG Student Dept. Of CSE, 6 Professor Dept. Of CSE

1,2,3,4,5,6 Presidency University, Bengaluru-560064

Abstract— This paper presents a novel approach to automate the inspection process of packed agricultural cases using Artificial Intelligence (AI) and image processing techniques. The current manual inspection system, which assesses only 10% of packed cases based on subjective expert judgment, faces limitations such as inefficiency, subjectivity, and an inability to scale. The proposed solution leverages AI models and advanced image processing algorithms to perform real-time, automated inspections of packed cases. The system assesses quality based on predefined parameters like color, ripeness, and uniformity, as per customer specifications. This approach offers numerous benefits, including increased accuracy, scalability, cost reduction, and enhanced customer satisfaction.

Keywords— Artificial Intelligence (AI), Image Processing, Online Inspection, Quality Control Automation, Agricultural Products, Real-Time Feedback, Machine Learning, Objectivity in Inspection, Automated Quality Assessment, Case Inspection.