
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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