Using artificial intelligence for sustainably profitable food processing
Overcoming product effect and improving detection accuracy
Despite the breadth of technology available for foreign object detection, certain types of foods display a strong product effect, making them difficult to inspect via conventional methods. Inductive metal detectors have a serious disadvantage when it comes to difficult products such as these: by increasing the detection sensitivity to adjust for product effect, the rate of false rejects increases. This leads to loss of good product.
X-ray-based product inspection systems are a possible alternative, but come with the disadvantage of being more expensive than metal detectors.