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Broken Needle Detection in Bulk Knitted Gloves Unicomp UNX6030 Big Packing Detection

Propriétés de base
Lieu d'origine: Chine
Nom de la marque: UNICOMP
Attestation: CE, FDA
Numéro de modèle: UNX6030N
Propriétés commerciales
Quantité minimum de commande: 1 ensemble
Prix: can negotiate
Conditions de paiement: LC, T/T
Capacité d'approvisionnement: 50 ensembles par mois
Résumé du produit
UNX6030-N X-ray Inspection System for Bulk Knitted Gloves The UNX6030-N is a compact X-ray inspection system specifically engineered for lightweight, small-bag packaged products. Optimized with advanced detection algorithms for low-density and thin-layer materials, this model excels at identifying ...

Détails du produit

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Broken needle detection knitted gloves

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Unicomp UNX6030 glove detector

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Bulk packing needle detection

Machine Type: Industrie de la détection de corps étrangers dans les aliments
Model: UNX6030N
Machine Weight: 700 kg
X-Ray Tube: 100kv 350W/120kv480W
Power Supply: AC 220V, 50Hz
Max. Load-Bearing Capacity: 25 kg
X-Ray Detector: 0,1 mm/0,2 mm/0,4 mm
Conveyor Belt Speed: 10-60 M/min, vitesse de rechargement 10-40 m/min
Description du produit
UNX6030-N X-ray Inspection System for Bulk Knitted Gloves The UNX6030-N is a compact X-ray inspection system specifically engineered for lightweight, small-bag packaged products. Optimized with advanced detection algorithms for low-density and thin-layer materials, this model excels at identifying and rejecting physical contaminants that traditional metal detectors often miss. Core Application Areas Confectionery & Snacks: Chocolates, hard/soft candies, biscuits, baked bread,
Notation globale
5.0
★★★★★
★★★★★
Basé sur 50 critiques récemment
cinq étoiles
100%
4 étoiles
0
3 étoiles
0
2 étoiles
0
1 étoile
0
Toutes les critiques
  • M
    Mony
    Singapore Jan 14.2026
    ★★★★★
    ★★★★★
    It is suitable for detecting various food contaminants. It can identify substances such as quartz and ceramics.
    Révision de l'image
  • S
    S*y
    Italy Nov 6.2025
    ★★★★★
    ★★★★★
    Very Clear.
    Révision de l'image
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