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