This live event has ended and registration is closed.
Click HERE to view the recording.

Find out more about our 30-Day PoV offer

Please join Mariner as we present the following New Equipment Digest webinar:

Wednesday - May 5, 2021
12:00PM – 1:00PM EDT


Quality is costly, and manufacturers are faced with balancing two competing curves: Pay for quality upfront, or potentially suffer the high costs of escapes generating rejects, returns, and ill will among customers.

But the costs of upfront quality can also be high, in terms of slowed lines, unneeded scrap or rework, and other factors.

What if you could reduce the costs of quality upfront? The entire set of equations gets shifted: Not only are those upfront costs reduced, but so are the customer-driven quality costs of escapes and bad sentiment.

Machine vision systems offer the promise of helping to reduce quality costs by detecting defects on the line – but in many cases are not as effective as they could be, and often still require lines to be run at reduced speed even as they miss some defects and misreport other, non-defect transient features like dust as defects.

Mariner’s Spyglass Visual Inspection solution (SVI) uses Deep Learning AI powered by Intel technologies to overcome these problems inherent to traditional machine vision system, and thus dramatically reduce manufacturers’ cost of quality.

Join Intel’s Global Sales Manager for IoT Philip van de Mortel, Mariner’s EVP of Product Engineering Peter Darragh, and Stephen Welch for this webinar and learn about:

  • The cost of quality
  • Why AI has so far disappointed many manufacturers
  • How Deep Learning can achieve upwards of 30X improvements over traditional machine vision systems



NOTICE TO ALL PUBLIC SECTOR OR STATE-OWNED ENTITY EMPLOYEES – Federal [including Military], State, Local and Public Education

This is a Microsoft partner event. Should items of value (e.g. food, promotional items) be disbursed to event participants, these items will be available at no charge to attendees. Please check with your ethics policies before accepting items of value.