SMT PCB AOI Inspection Machine with Deep Learning Algorithm - 0.23sec/FOV Speed, 5M Camera, 380W Power

Price Negotiable
Price: USD22000
MOQ: 1
Delivery Time: 20work days
Brand: YUSH
Product Description
Product Overview
The SMT Production PCB Visual Test Line Online AOI Inspection Machine delivers automated optical inspection for surface mount technology assembly lines. Engineered for precision detection of component placement and soldering defects, this system ensures superior quality control throughout PCB manufacturing processes.
Key Features
  • Inline inspection for SMT pre-reflow and post-reflow stages
  • High inspection rate with minimal false alarms
  • Granite platform for enhanced precision and stability
Advanced Optical System
  • Programmable RGB+W LED lighting source
  • Bilateral telecentric lens with low distortion and high depth of field
  • 5M pixel intelligent digital industrial camera (12M optional)
Intelligent Programming
  • Simplified programming flow with user-friendly interface
  • Batch parameter modification with one-key operation
  • Centralized control for multiple equipment interconnection
Comprehensive Defect Detection
Identifies insufficient solder, shorts, soldering holes, solder covering pins, contamination, misalignment, missing parts, skewed components, billboard defects, mounting on side, component overturn, wrong parts, damaged components, floating parts, polarity errors, pseudo soldering, empty solder, and excessive glue application.
Performance Metrics
Excellent stability with GR&R 1.33 (test deviation accuracy less than ±0.25mm)
Technical Advantages
Deep Learning Algorithm
YS AOI incorporates deep learning algorithms, big data optimization, and intelligent minimalist programming for industrial inspection. The system enables intelligent judgment through one-click automatic identification of components and solder joints, addressing traditional algorithm limitations of long programming time and high false alarm rates.
AOI machine with deep learning algorithm technology Deep learning algorithm diagram showing intelligent inspection capabilities
Rapid Inspection Performance
  • High precision intelligent camera with photographing inspection mode
  • Deep alignment control system maintaining ultrafast moving speed
  • Real-time computation with simultaneous shooting and processing
  • Automatic path planning for optimized movement inspection
Inspection speed demonstration showing fast PCB analysis
MES System Integration
  • Real-time data retention and export capabilities
  • Automatic barcode and QR code reading
  • Complete inspection data including overall statistics and individual board information
  • One-key export functionality for convenient traceback and MES system application
MES system data report example showing comprehensive analytics
Technical Specifications
Parameter YS SMT AOI AI-5146 YS SMT AOI AI-5146D
Mini Component 01005chip, 0.3pitch IC and Special shaped 01005chip, 0.3pitch IC and Special shaped
FOV 15um@60*45mm, 10um@40*30mm 15um@60*45mm
Resolution 15um (Standard), 10um 15um
Camera 5M pixel intelligent digital industrial camera (12M Optional)
Lens Telecentric lens
Inspection Speed 0.23sec/FOV
Rail Single rail Dual rail
PCB Height Top:25mm, Bottom:80mm Top:25mm, Bottom:30mm
PCB Thickness 0.3 ~ 6.0mm
PCB Edge 3.7mm
PCB Warpage ±3.0mm
PCB Weight Max: 3Kg
Conveyor Height 900±20mm
Power AC220 50/60Hz, 5A
Rated Power 380W
Weight 750Kg 790Kg
Quality Assurance & Services
All products undergo pre-production sampling and final inspection before shipment. We support multiple delivery terms including FOB, CIF, EXW, DDP and various payment methods including T/T, L/C, and credit card.
Professional packaging and shipping process for AOI inspection machines Comprehensive service overview including technical support and maintenance

Get in Touch

Have questions about our products or want to discuss a custom order? Our team is ready to help you.

Company YUSH Electronic Technology Co.,Ltd
Location 5th Floor, No.10, Shanquan Road, Yongtou Village, Chang’an Town, Dongguan City, Guangdong province, China.
Contact Person Eva Liu

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