Products
Food Industry X-ray Food Inspection Metal Detector Machine
Technical Specification For X-ray Machine |
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Model
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Sensitivity
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Metal Ball/ Metal Wire / Glass Ball
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Detection width
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240/400/500/600mm Or Customized
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Detection height
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15kg/25kg/50kg/100kg
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Load capacity
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15kg/25kg/50kg/100kg
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Operating System
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Windows
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Alarm Method
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Conveyor auto Stop(Standard)/Rejection System(Optional)
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Cleaning Method
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Tool-free Removal Of Conveyor Belt For Easy Cleaning
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Air Conditioning
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Internal Circulation Industrial Air Conditioner, Automatic Temperature Control
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Parameter Settings
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Self-learning / Manual Adjustment
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World famous brand accessories American VJ signal generator -Finland DeeTee receiver - Danfoss inverter, Denmark - Germany Bannenberg industrial air-conditioner - Schneider Electric Components, France – Interoll Electric Roller Conveyor System,USA -Advantech Industrial ComputerIEI Touch Screen, Taiwan
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X-ray Metal Detector Advantages: X-ray inspection system for bulk loose, unpackaged, and free-flowing food products.include meat, poultry, convenience foods, frozen products, nuts, berries, dried fruit, lentils, cereals, and vegetables before they are packaged or used as ingredients in finished products.
X-ray Food Inspection System: X-ray offers industry-leading detection levels for loose products on a wide variety of foreign body contaminants, including ferrous, non-ferrous and stainless metals, stone, ceramic, glass, bone and dense plastics, regardless of their shape, size or location within the product.
Application
Wide Range Of Applications: It can be used for food,chemical,industry,
Detailed Images
Machine Features: It has the same high detection accuracy as international brands and can be easily set by the operator.
(1) No matter how complex the product is, it can also be set through the automatic learning process without the participation of technicians.
(2) Shanan’s algorithm platform adopts dynamic feature recognition method to automatically select the best algorithm parameters and obtain the highest sensitivity.
(3) The self-learning process only needs up to 10 images, and the algorithm model training can be completed after waiting for up to 20 seconds.
(1) No matter how complex the product is, it can also be set through the automatic learning process without the participation of technicians.
(2) Shanan’s algorithm platform adopts dynamic feature recognition method to automatically select the best algorithm parameters and obtain the highest sensitivity.
(3) The self-learning process only needs up to 10 images, and the algorithm model training can be completed after waiting for up to 20 seconds.
