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Foodman X-Ray Inspection System for Fishbone

Manufacturer: Easyweigh

Foodman X-Ray Inspection System for Fishbone

High-resolution X-ray system (FXR-YC series) with a 0.1 mm TDI detector and FIAP AI software that finds fishbones down to 0.1 mm in fillets, whole fish and processed fish.

Key features

  • Detects fishbones down to 0.1 mm
  • 0.1 mm TDI detector for ultra-high-resolution imaging
  • FIAP algorithm platform for complex backgrounds
  • AI database of almost a thousand fishbone types
  • 50-inch 4K external screen plus 17-inch touch screen
  • For fillets, whole fish and processed fish products
  • Remote parameter adjustment and diagnostics

Technical data

Model
FXR-YC series
X-ray source
80 kV, 350 W
X-ray detector
0.1 mm TDI detector
Aperture width
Max. 300 / 400 / 600 mm
Aperture height
Max. 170 mm
Conveyor belt speed
5–30 m/min
Max. product weight
10 kg
Sensitivity
Fishbone 0.1 mm; stainless steel ball 0.2 mm; stainless steel wire 0.1×2 mm; ceramic and glass balls 0.8 mm
Operation
Windows system, 50-inch HD external screen, 17-inch colour touch screen
Data interfaces
LAN port, USB port
Radiation protection
Protection cabin
Power supply
Single phase AC220V/110V, 50–60 Hz
Protection rating
Conveyor IP66, other parts IP54
Operating conditions
-10 to 40 °C, humidity 30–90%
Main structure
SUS304 stainless steel
X-ray leakage
< 1 μSv/h

Description

The Foodman X-ray system for fishbone is built to find small pin bones in fish meat. It handles fillets, whole fish and processed fish products and fits different production layouts.

Imaging

Ultra-high-resolution imaging with a 0.1 mm TDI (Time Delay Integration) detector produces detailed images in which even hard-to-see bones are visible. Compared with ordinary X-ray machines the system gives higher contrast on metal, glass and similar materials, making foreign bodies easier to identify.

Software

  • FIAP (Foodman Intelligent Algorithm Platform) optimises image processing to pick out foreign bodies against complex backgrounds, including metal, glass, ceramic, bone, stone and shell, as well as low-density fish bones.
  • AI self-learning: a database of almost a thousand fishbone types, built from many samples, is used together with a wavelet-mutation particle-swarm algorithm to search suspect areas quickly. The self-learning function sets parameters, collects real-time data, updates quality reports and event records and refines its models without manual input.

Operation

Windows operating system with a 50-inch 4K external screen and a 17-inch colour touch screen. The interface is simple, prevents data loss and includes a backup function. Remote parameter adjustment and troubleshooting are supported. The conveyor is IP66 and other parts IP54; leakage is below 1 μSv/h.

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