Food & Drink Processing & Packaging Issue 38 2022 | Page 7

The high performance of the IX-G2-F is supported by Ishida ’ s unique self-learning Genetic Algorithm ( GA ) technology which combines with the new line sensor to deliver maximum detection sensitivity and reliability .
Ishida ’ s dual energy technology incorporates two line sensors , one which takes images at high energy and one at low energy .
The GA technology focuses the X-ray machine to identify difficult to detect contaminants with a high degree of accuracy , even at high throughput rates , using image data analysis over a number of trial runs . As it is common in food production for similar contamination problems to recur , data logging can help to build up a more precise calibration protocol with each trial . This enables permanent or recurring defects to be easily identified during the inspection process .
Ishida ’ s dual energy technology incorporates two line sensors , one which takes images at high energy and one at low energy . These are then compared , which provides a better overall image of the product with a clearer contrast between the product and any low-density foreign bodies , such as bone fragments .
“ The next generation IX-G2-F X-ray inspection system offers unrivalled performance and with its improved line sensor and software capabilities it has already delivered significant benefits on production lines ,” comments Sibtain Naqvi , Ishida Europe ’ s X-ray Product Manager .
“ The enhanced sensitivity provides poultry processors with even greater reassurance that their high product quality standards are being maintained , and by minimising the number of false rejects , production can be maximised . We believe our IX-G2-F models represent another major advance in our X-ray inspection portfolio ,”
www . ishidaeurope . com / en FDPP - www . fdpp . co . uk 7