698 automating detection of pick-and-place nozzle anomalies results

New SMT Equipment: automating detection of pick-and-place nozzle anomalies (20)

JUKI JM-20 Hybrid Pick and Place Machine

JUKI JM-20 Hybrid Pick and Place Machine

New Equipment | Pick & Place

JUKI JM-20 Hybrid Pick and Place Machine Max PCB:410×560mm Component Size:0603~50mm Place Speed:15,500 CPH Product description: JUKI JM-20 Hybrid Pick and Place Machine, Max PCB:410×560mm, Component Size:0603~50mm, Place Speed:15,5

Flasonsmt Co.,ltd

SAKI 3D AOI 3Di ZS2

SAKI 3D AOI 3Di ZS2

New Equipment | Inspection

SAKI 3D AOI 3Di ZS2 Single lane AOI PCB size: Max. 330x330mm Dimension:​1340x1440x1500mm weight:900KG  INQUIRY SAKI 3D AOI 3Di ZS2 Specifications: 1: Advanced Hardware Features Proprietary Hardware provides accurate measurements Saki's mac

Fomyn Equipment co,.ltd

Industry News: automating detection of pick-and-place nozzle anomalies (4)

BPM Microsystems Enhances Empty Socket Test Software Feature with the Release of BPWin 5.22.0

Industry News | 2012-02-10 16:36:32.0

BPM Microsystems announces the release of BPWin version 5.22.0, which includes an enhancement to the Empty Socket Test that will now cycle when the interlock has been opened, further reducing the risk of double stacking devices, thus improving programming yield and quality assurance.

BPM Microsystems, Inc.

Juki to Showcase a Range of Leading Equipment at Virtual PCB

Industry News | 2010-02-25 23:27:16.0

MORRISVILLE, NC - February 2010 - Juki Corporation will showcase a range of leading products at the upcoming Virtual PCB, the industry’s only online tradeshow, scheduled to take place March 2-4, 2010 online at www.virtual-pcb.com.

Juki Automation Systems

Express Newsletter: automating detection of pick-and-place nozzle anomalies (674)

SMTnet Express - November 23, 2021

SMTnet Express, November 23, 2021, Subscribers: 26,441, Companies: 11,466, Users: 26,939 Automated Optical Inspection Method for Light-Emitting Diode Defect Detection Using Unsupervised Generative Adversarial Neural Network Many


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