Glove Inspection Equipment with AI Vision

Price $85000.00 Compare
Min Order 1 Set
Availability In Stock
Shipping From Jiangsu, China
Popularity 390 people viewed
Quantity
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Nanjing Hanrun Intelligent Equipment Co., Ltd.

VIP   Audited Supplier 2 years
Profile Certified by SGS/BV
Customized
99%
220PCS/Min
Less Than 0.5%
More Than 0.5mm of Diameter
Shine
Wooden Box or Made to Order
China
8479509090
Product Description
AI Vision Glove Inspection Machine
By using advanced Al software, our solution can achieve comprehensive detection of fingers,palms and cuffs of gloves during their movement,  identify defective gloves and remove them.seope:OCEurately detect oil stains,dirt spots,and damage on gloves
Detection scope:acurately detect oil stains,dirt spots,and damage on gloves.

Solution Introduction

Gloves are  tested  before stripping, during stripping and half stripping in multiple stations.The  software utilizes Al algorithm to analyze and identify  the defective gloves.
Defected gloves can be removed by roller removal machine and the air blowing machine,to ensure the success rate of the defective removal.



Software Specification
1. AI System Detection
   The system automatically adjusts the inspection thresholds for various defects.
2. Integrated Cumera Mount
   Integrated camera mount can maximally saves space without being limited by installation space constraints.
3. Remote Control
   After connection to internet,the device can be remotely controlled and monitored for operation .
4. User Permissions
   Different users have different permissions on the system.
5. Defects Review
   Can review historical defective photos,easy to analyze the reason of defects during  production.
6. Real-time Statistics & Display of The Production Speed
  The front-end interface can display the speed of production line in real-time, the total number of gloves as well as  the defect ratio of 
   defective
 gloves are inspected.

7.Warning
   System alerts in case of anomalies to prevent equipment malfunctions and the occurrence of large quantities of defects.


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