New Ishida X-Ray Offers Enhanced Sensitivity for Difficult to Detect Items
Ishida Europe will launch its next generation IXG2 dual-energy Xray inspection system. This has improved the ability to detect bone fragments four times better than previous Xray models. The machine's increased sensitivity also reduces the chance of false detections. This helps maximize throughput and avoids unnecessary waste. Ishida's self-learning Genetic Algorithm technology (GA), which is combined with the new line sensor, enables the IX-G2-F to achieve maximum detection sensitivity. GA technology uses X-ray data analysis to analyze image data over many trial runs to pinpoint difficult-to-detect contaminants. Data logging is a useful tool to help build a more exact calibration protocol for each trial, as it is not uncommon in food production for similar contamination problems recur. This allows permanent and recurring defects to easily be identified during inspection. Dual energy technology by Ishida uses two line s