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 sensors. One takes images at high energy, the other at low energy. The images are then compared to create a more complete image with greater contrast between the product's surface and low-density foreign objects such as bone fragments.
"The next generation IXG2-F Xray inspection system offers unrivalled performances and with its improved line sensor, and software capabilities, it has already delivered significant advantages on production lines," commented Sibtain NAQVI, Ishida Europe's Product Manager for Xray.
"The increased sensitivity gives poultry processors greater assurance that their high product quality standards will be maintained. By minimizing false rejects, production can also be maximized." Our IX-G2-F models are a major advancement in our Xray inspection portfolio.
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