Abstract: Food safety and quality assurance are major concerns in modern food processing and packaging industries. Conventional inspection systems mainly rely on manual monitoring, which may lead to inconsistent detection of defective packages and increased operational costs. This project presents the design and development of a Cold Plasma Conveyor System with Leak Detection using Python-based image processing for automated inspection and sterilization of packed food products. In the proposed system, a conveyor mechanism driven by a DC motor transports the packaged products through different processing stages. A USB camera captures real-time images of the packages, which are analyzed using Python image processing algorithms to detect defects such as packet leakage, cracks, or improper sealing. If a defective package is identified, a servo motor-based rejection mechanism automatically removes it from the conveyor line. The accepted products then move to the cold plasma treatment zone, where non-thermal plasma is applied to sterilize the package surface and eliminate microorganisms without affecting food quality. The system improves inspection accuracy, reduces human intervention, and enhances hygiene standards in automated food processing environments

Keywords: Cold Plasma Sterilization, Conveyor Automation, Image Processing, Leak Detection, Python-Based Inspection, Food Packaging Safety, Servo-Based Rejection System, Automated Quality Control.

Downloads: | DOI: 10.17148/IARJSET.2026.13434