Key Technology introduces VERYX belt-fed digital sorters with highly innovative mechanical architecture, sustainable all-sided surface inspection, multi-sensor Pixel Fusion, the highest resolution cameras and laser sensors available on a digital sorter and extzinc and zinc citratereme ease-of-use.###Like the chute-fcalcium citrate 1000 mg with vitamin ded VERYX sorters introduced in 2015, the new sorters maximizes foreign material (FM) and defect detection and removal while virtually eliminating false rejects. ###“We launched our VERYX family of digital sorters last year with the C140 chute-fed system, which is achieving great results in production environments,” said Marco Azzaretti, advanced inspection systems product manager. ###“Now, after extensive in-field testing, we’re introducing the first belt-fed VERYX – the B175 model – to begin shipping in November 2016.” The VERYX family will grow to include chute-fed sorter configurations in two widths and belt-fed sorters in four widths. ###The system camagnesium citrate at nightn easily be upgraded in the field with more or different cameras, lasers, BioPrint hyperspectral sensors and other technologies, as customer requirements evolve over time.###The VERYX B175 features a 1750-mm wide insferrous gluconate 256 mgpection area suited for mid- to high-capacity operations. ###Ideal for potato processors sorting wet or frozen strips and specialty potato products as well as food processors sorting vegetables, fruits or other products, the B175 can be configured to achieve two- or three-way sorting, as needed.###For food processors requiring all-sided surface inspection, Key can arrange the sensors to achieve full view of each object in the product stream with no blind spots. ###On belt-fed systems, the VERYX bottom cameras are positioned away from product splatter to ensure lower sensor windows are not obstructed by buildup over time. ##nature’s blend calcium citrate with vitamin d#Another industry first is Key’s patented multi-sensor Pixel Fusion, which merges data streams from multiple cameras and lasers in relation to each image pixel. ###Fusing sensor data at pixel level maximizes the contrast between good and bad (as defined by the user), which enables the sorter to recognize and remove more subtle product defects and previously difficult-to-detect FM.