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Belt Color Sorter
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LXD4‑B Series High‑End Intelligent Optical Sorter

LXD4‑B Series High‑End Intelligent Optical Sorter

Brand Name: PHOENIX
Model Number: LXD4‑B 4 Color Sorter
MOQ: 1
Price: Price Negotiable
Payment Terms: L/C,D/A,D/P,T/T
Detail Information
Place of Origin:
Hefei
Model:
LXD4‑B 4
Belt Width, Mm:
1200
Air Nozzle:
512
Air Pressure (mpa):
0.6~0.8
Air Consumption (m3/min):
<4.1
Voltage:
220V~50/60Hz
Power (kw):
9.1
Highlight:

LXD4-B Series intelligent optical sorter

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Belt color sorter with high-end performance

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Intelligent optical sorter for industrial use

Product Description
LXD4‑B Series High‑End Intelligent Optical Sorter

A double‑track model custom‑built for IQF frozen fruit and vegetable sorting, complying with the highest hygiene standards. Equipped with an AI‑powered ultra‑high‑resolution RGB camera system, it accurately removes defects and foreign materials, with sorting performance continuously optimized via deep learning.

Core challenges for IQF frozen fruit and vegetable sorting: low product temperature, surface frost formation, and material sticking. Meanwhile, precise identification is required for discoloration, dark spots, mildew, foreign bodies, frozen lumps and stuck defective products. Conventional manual sorting suffers from high labor intensity and low efficiency, and stable quality cannot be guaranteed under low‑temperature conditions. Air sifters and gravity‑based sorters rely mainly on differences in size, weight and density, and cannot effectively detect color anomalies, surface defects or foreign contaminants.

The LXD4‑B Series is an intelligent vision sorting system custom‑developed for premium IQF frozen fruit and vegetable processing, engineered and manufactured to the highest hygiene standards. Featuring ultra‑high‑resolution RGB imaging combined with advanced in‑house AI algorithms, it delivers high‑efficiency sorting for color deviation, surface defects and foreign materials through high‑speed visual inspection and precise ejection. It improves finished‑product consistency while cutting labor costs, providing a more efficient, reliable and quantifiable solution for IQF frozen fruit and vegetable sorting.

Its AI‑driven surface‑defect recognition algorithm is trained on real‑world production datasets using deep learning. It maintains high sorting accuracy across a wide range of IQF frozen fruit and vegetable varieties, helping processors boost product quality and production throughput, and deliver premium‑grade IQF frozen produce to the market.

Specifications
Model
Belt Width
(mm)
Air Nozzle
Air Pressure
(mpa)
Air Consumption
(m3/min)
Voltage
Power
(kw)
Dimension
(mm)
Unpacked Weight
(kg)
LXD4‑B 4 1200 512 0.6~0.8 <4.1 220V~50/60Hz 9.1 5456×2329×2731 2800
LXD4‑B 6 1800 768 0.6~0.8 <4.1 220V~50/60Hz 13.5 5448×2968×2735 3400
Technical Features
  • Optical sorting system custom‑designed for IQF frozen fruit and vegetables
    • Innovative dual‑belt sorting system
      • Upper primary sorting belt: Efficiently rejects all potential defects (including partial false rejections)
      • Lower secondary sorting belt: Re‑inspects rejects from the upper belt to precisely recover qualified products
    • Multiple high‑performance waterproof vibratory feeding systems available for flexible customization for different IQF frozen fruit and vegetable varieties, ensuring uniform single‑layer material spread and minimizing overlapping particles
    • Food‑grade stainless‑steel machine frame with reinforced sealed sorting chamber and electrical cabinet, capable of withstanding frequent high‑pressure washing and sanitization cycles
    • Quick‑release belts and round‑tube frame design eliminate sanitary dead zones for convenient, fast daily maintenance and cleaning, meeting stringent food‑safety and hygiene requirements
    • Built‑in humidity‑control system stabilizes equipment operation and reduces downtime
    • Two belt‑width options (1200 mm and 1800 mm) offer greater flexibility for processors to match diverse production‑capacity requirements
  • AI‑powered ultra‑high‑precision defect‑detection system
    • Proprietary AI algorithms enhance surface‑defect identification; supports model retraining via deep learning based on real‑production data
    • Ultra‑High‑Resolution RGB (UHR‑RGB) imaging captures subtle defects imperceptible to the human eye
    • High‑brightness LED lighting ensures sharp, stable imaging

Ultra‑high‑precision detection of multiple defects on IQF frozen fruit and vegetables based on surface characteristics:

  • Color defects: discoloration, mildew spots, rot
  • Morphological defects: malformation, deformation, oversize / undersize, breakage
  • Surface damage: abrasions, cuts, indentations, scars, cracks, shriveling
  • Biological contaminants: insect damage, stem‑leaf residues, other vegetable fragments, soil clods
  • Foreign‑material contamination: stones, plastic / rubber fragments, wood chips
  • High‑performance pneumatic ejector system
    • Optimized design balancing durability, response speed and air‑consumption efficiency
    • Maintains accurate ejection and stable performance under high‑throughput operation
    • Markedly reduces false‑rejection rates and lowers overall operating costs
  • 15‑inch industrial touch‑screen control system
    • Intuitive HMI with multi‑language support
    • One‑touch switching of sorting recipes
    • Comprehensive remote‑support system
      • Remote access and real‑time monitoring
      • Performance‑data dashboard
      • On‑line expert diagnostics
      • Interactive troubleshooting