To overcome the limitations of traditional food inspection systems, such as the inability to view within a product, several machine vision techniques such as visual, infrared, terahertz, and x-rays are being studied. Other driving forces for the development of machine vision systems are food safety requirements and consumer expectations. In the context of imports, global trade, and rising consumer expectations, this regulatory tendency is likely to continue.
X-rays offer significant advantages in non-destructive inspection among machine vision systems since they can pass through the most things. As a result, x-rays are utilized to non-destructively discover interior problems when other imaging techniques, such as visible light, fail.
In the agriculture industry, X-ray can be used for quality control and to verify the safety of product. The presence of foreign objects or contaminant can be detected, and product can be sorted by size or quality. Because X-ray visualizes the internal structure of objects, it can be used to inspect product to ensure that the pit has been removed. The construction of an x-ray inspection system, on the other hand, entails the selection of relevant technologies and parameter optimization. Therefore, this guest lecture aims to improve our understanding of these developmental challenges and potential applications.