Deep Learning vs Traditional Machine Vision

Automated visual inspection systems give manufacturers the ability to monitor and respond to production issues in real time, reducing costs and improving quality. Today, most visual inspection systems consist of some type of image capture hardware, and an integrated or discrete computer equipped with specialized software to process images. At the heart of this software is a computer vision…

CEO to CEO Series: Vision Systems, Deep Learning & Defect Detection

By Phil Morris, CEO I have a very good friend; let’s call him “Jake.” Jake has spent his entire adult life in manufacturing and supply chain. When his employer decided to develop a customer-centric marketing strategy, they called several large global firms known for their marketing strategy development. Each firm presented their impressive, winning sales presentations highlighting their…

What happens when critical machines fail?

You’ve likely been there before and it’s never good - a critical machine fails unexpectedly and production is shut down. Your team works around the clock to get it back online to minimize the impact. The costs – from emergency repairs, to lost productivity, and ultimately lost product – are significant.    Maintenance Strategy - To address the issue, you've invested in various maintenance…

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Why Work at Mariner? Mariner builds and deploys production-grade deep-learning systems for manufacturing applications. We believe that machine learning and deep learning are poised to transform the manufacturing industry, delivering better quality, higher uptime, lower operating costs, and reduced environmental impact. To achieve this, we are committed to empowering our customers with state of…

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Improve QualityRather than fix your quality problems, solve them while reducing your operational costs. Increase Asset ReliabilityApply reliability-centered maintenance strategies to optimize plant productivity. Improve PerformanceManage your production lines like they’re being run by your best operators. Make every day their best…

About Us

Mariner provides manufacturers with technology solutions that leverage IoT, AI and deep learning to improve operational effectiveness, increase quality and gain competitive advantage. We jump start and sustain manufacturers’ Industry 4.0 journey. Mariner – improving your products and how they are made: Improve production asset utilization using condition-based…

Is it Hard to Successfully Deploy and Scale IoT Solutions?

By Mark Adelhelm, on behalf of the Spyglass team  Earlier this year, McKinsey & Co. published the findings of their latest Industry 4.0 survey in an article titled “How digital manufacturing can escape ‘pilot purgatory’.” The survey contained some interesting findings.  At the opening of the piece, the authors share that nearly 70% of the survey respondents named “Digital Manufacturing”…

OEE and Spyglass – A Primer for Manufacturing CFOs

“I know you believe this can really help my company, but why exactly?” Last Thanksgiving, our National Sales Manager at Spyglass, Mark Adelhelm, was having a conversation over the holiday dinner table with his brother-in-law. Inevitably, their conversation turned to business. Mark’s brother-in-law is a CFO at a midsized manufacturer, and he was intrigued by Spyglass and how IoT and OEE…

Announcing Spyglass Visual Inspection

Intelligently minimize defects and reduce costs We are pleased to announce the immediate availability of Spyglass Visual Inspection. Spyglass Visual Inspection harnesses the power of AI, IIoT, and image recognition to help manufacturers improve product quality while significantly reducing the costs associated with manufacturing flaws. Effectively addressing quality concerns is critical in…

Choosing the best IIoT Solution? 5 Considerations that can help

By Joe Guy, COO, Spyglass Thttps://www.linkedin.com/in/joeguy/he IoT platforms market is exploding. According to a 2017 IoT Analytics report on the state of the IoT platforms market, over 450 companies currently have offerings across all industries. However, the market is still nascent with less than 7% of platforms having more than $10M in annual revenues. For manufacturers evaluating…