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in-Line Ocr Character Inspection & Reject Machine for Missing Date Codes on Food Label
US$4,666.00-4,888.00
1 Set

Product profile

Customization

Available

After-sales Service

Free Remote Technical Support

Application

Health & Medicine

Place of Origin

China

Equipment Type

Online Character Detection & Rejection Machine

Detection Method

Ai Intelligent Ocr Recognition

Rejection Method

Cylinder Pusher Rejection

Automation Degree

Integrated Production Line Type

Detection Accuracy

High Precision

Detection Speed

Adjustable Detection Speed

Supported Character Type

Production Date / Batch Code

Detectable Defects

Missing Blurred Ghosting Incomplete Character

Transport Package

Wooden Case

Specification

Stainless Steel

Trademark

BMG

Origin

China

Key features

AI Intelligent OCR Recognition: Utilizes advanced machine vision and AI algorithms for high-precision character detection.
Comprehensive Defect Detection: Detects missing, blurred, ghosting, incomplete, and offset characters on packaging.
Adjustable Detection Speed: Speed can be freely adjusted to match production line rhythm without affecting efficiency.
Automatic Rejection System: Instantly triggers cylinder pusher or air blowing to remove defective products.
PLC Industrial Control: Features mature PLC system with intelligent touch screen for simple operation.
Multi-Format Compatibility: Supports various fonts, numbers, letters, dates, batch codes, and pattern codes.
Data Traceability & Alarm: Includes sound/light alarms and automatic data recording for quality supervision.
Flexible Customization: Offers full, minor, and sample-based customization options for specific needs.

Company profile

Guangzhou Bimeigao Intelligent System Technology Co., Ltd.
Patents AwardedImporters and ExportersCustomization from DesignsExhibition Experience
CertifiedBusiness Type: Manufacturer/Factory & Trading Company CertifiedR&D Capacity: ODM Service Available & OEM Service Available CertifiedCustomization Options: Customization from Samples, Customization from Designs, etc. CertifiedExport Year: 8 Years CertifiedNearest Port: Guangzhou Port, Shenzhe PortAverage Response Time: ≤1.65h

About Our Factory & Business Background

Address4th Floor, Building 1, No. 2-19 Qianfeng South Road, Shiqi Town, Guangzhou, Guangdong, China
Registered Capital5,000,000 RMB
Terms of PaymentLC, T/T, D/P, PayPal, Western Union
International Commercial Terms(Incoterms)FOB, CIF, CFR, EXW
Average Lead TimePeak Season Lead Time: within 15 workdays Off Season Lead Time: within 15 workdays
Minimum Order Quantity1 Set

Our Production Capability & Technical Expertise

Main ProductsLaser Marking Machine, Bottle Cap Marking Machine, Visual Inspection Machine, Automated Integrated Equipment, Qr Code Data Collection and Association System, Production Management System, One Item One Code Anti-Counterfeiting, UV Printer, Laser Engraving Machine, Labeling and Inspection Machine
Inspection Type for Finished Products100% inspection(Visual inspection & Function inspection)
Inspection Method for Finished ProductsFinished product checked by packing staff
Traceability of Raw MaterialsYes
Own BrandYes

Our Industry Experience & Global Business Record

Year of Establishment2009-11-16
Main MarketsNorth America, Eastern Europe, Southeast Asia, Mid East, Eastern Asia, Western Europe
Repeat Buyers Choice30%~50%

Product Q&A

Q:What types of defects can this machine detect?
A:
It detects missing, blurred, ghosting, incomplete, offset, and faded characters on bottle caps and packaging.
Q:How does the machine reject defective products?
A:
It uses a stable air blowing or cylinder pusher mechanism to automatically separate defective items.
Q:Is the detection speed adjustable?
A:
Yes, the detection speed can be adjusted freely to match the production line rhythm.
Q:What character types are supported?
A:
It supports production dates, batch codes, numbers, letters, and various pattern codes.
Q:Can the machine be customized?
A:
Yes, we offer full customization, minor customization, and customization from samples or designs.

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