China factories

China factory - Anhui Keye Information & Technology Co., Ltd.

Anhui Keye Information & Technology Co., Ltd.

  • China,Hefei ,Anhui
  • Site Member

Leave a Message

we will call you back quickly!

Submit Requirement
China Condiments Container Visual Inspection System With AI Intelligent Conveyor Line
China Condiments Container Visual Inspection System With AI Intelligent Conveyor Line

  1. China Condiments Container Visual Inspection System With AI Intelligent Conveyor Line
  2. China Condiments Container Visual Inspection System With AI Intelligent Conveyor Line

Condiments Container Visual Inspection System With AI Intelligent Conveyor Line

  1. MOQ: 1 SET
  2. Price: Negotiable
  3. Get Latest Price
Payment Terms L/C, T/T
Supply Ability 1 set per 6 weeks
Delivery Time 4 to 6 weeks
Packaging Details Fumigation-free wood
Name Condiments Container Visual Inspection System with AI Intelligent Conveyor Line
Place of origin Anhui,China
Weight 500 kg
Warranty 1 Year
Condition New
Technic scheme Provided
Applications FMCG packaging
After-sale Remote service
MOQ 1 Set
Payment T/T,L/C,Paypal,Credit card
Brand Name KEYE
Model Number KVIS
Certification NO
Place of Origin China

View Detail Information

Contact Now Ask for best deal
Get Latest Price Request a quote
  1. Product Details
  2. Company Details

Product Specification

Payment Terms L/C, T/T Supply Ability 1 set per 6 weeks
Delivery Time 4 to 6 weeks Packaging Details Fumigation-free wood
Name Condiments Container Visual Inspection System with AI Intelligent Conveyor Line Place of origin Anhui,China
Weight 500 kg Warranty 1 Year
Condition New Technic scheme Provided
Applications FMCG packaging After-sale Remote service
MOQ 1 Set Payment T/T,L/C,Paypal,Credit card
Brand Name KEYE Model Number KVIS
Certification NO Place of Origin China
High Light Condiments Container Visual Inspection SystemFMCG Packaging Visual Inspection System

Condiments Container Visual Inspection System with AI Intelligent Conveyor Line

Item Condiments Container Visual Inspection System with AI Intelligent Conveyor Line Main Material Stainless steel
Weight 500kg Size 4250*1650*1860mm
Software Algorithm Deep Learning Voltage Ac220/50Hz
Current 4kw Air Pressure 0.5-0.8Mpa
Transfer Method Lossless Delivery Detection Status Online Real-Time Detection
Detection Method High-Speed Industrial Camera Number Of Camera Depending on the specific situation
 

 

Inspection standards

Item Camera Position Inspect Precision Accuracy Speed
KVIS 14 all side detection

Black sopt,dirt,size,burr,flash,hole,

cap assemble,scratch,thickness,foreign item,etc.

>0.5mm 99%

60pcs/min

 

Inspection principle

After the product is formed, it will pass through the front-end guiding mechanism to ensure that all the bottles are in the same direction. After passing through the conveying line in a stable and orderly manner, it will be sent to the inspection station inside our inspection machine for sequential inspection.

After being processed by image processing software and AI detection algorithm, it will be judged Good products and defective products, detected defective products are automatically eliminated online, and the counting function can be realized after the finished product is detected. After product detection, it is transported by the export conveyor line for transition
Go to the backend for the next step of the packaging process.

 

 

Vision solutions

Our company's design scheme adopts 14 sets of high-pixel area array industrial cameras and high-performance strobe light sources to conduct comprehensive inspections on the appearance defects of bottle products. The design inspection speed of the entire set of inspection equipment is 60 pieces/minute, and the equipment can realize It operates 7*24 hours a day, and unqualified products can be automatically eliminated online.

 

Advantages of ai algorithm

  • Accuracy of results: Compared with traditional vision algorithms, the stability of deep learning algorithms is greatly improved, and it can adapt to general disturbances in the environment and background. At the same time, the accuracy of the algorithm is also higher than that of traditional vision algorithms;
  • Algorithm versatility: For different defects, only a small number of defect samples need to be collected. After sufficient training, different defect samples can be automatically identified. The algorithm adopted is a unified algorithm framework;
  • Development timeliness: Since there is no need to develop algorithms for different defects, the entire development cycle is greatly shortened, and general visual defect projects only need 2-3 hours to go online for testing;
  • Environmental reliability: Due to the guarantee of GPU computing power, the entire system can work in a high-temperature environment for a long time with sufficient computing power margin.

Company Details

Bronze Gleitlager

,

Bronze Sleeve Bushings

 and 

Graphite Plugged Bushings

 from Quality China Factory
  • Business Type:

    Manufacturer,Exporter,Seller

  • Year Established:

    2011

  • Total Annual:

    100,000-150,000

  • Employee Number:

    100~150

  • Ecer Certification:

    Site Member

About Us KEYETECH has always been committed to the application of artificial intelligence in the field of vision technology, replacing human eyes and brain decision with machine vision and AI reasoning calculations, and integrating the quality detection and sorting to industrial produ... About Us KEYETECH has always been committed to the application of artificial intelligence in the field of vision technology, replacing human eyes and brain decision with machine vision and AI reasoning calculations, and integrating the quality detection and sorting to industrial produ...

+ Read More

Get in touch with us

  • Reach Us
  • Anhui Keye Information & Technology Co., Ltd.
  • 168 TangKou Road,Taohua Industrial Park,Hefei,Anhui
  • https://www.visual-inspectionsystem.com/

Leave a Message, we will call you back quickly!

Email

Check your email

Phone Number

Check your phone number

Requirement Details

Your message must be between 20-3,000 characters!

Submit Requirement