Why Manufacturers of All Sizes Can Leverage Vision AI Software

Jul 19, 2022
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About This Webinar
The last 18 months have highlighted the need for manufacturers to embrace new technologies such as AI and automation to help them meet the call of customer demand, increase productivity, and maintain a competitive advantage. However, many companies face significant barriers to adoption. Vision AI-powered inspections may help some smaller manufacturers meet quality inspection goals, but up-front costs can be prohibitive. Software can be a more appealing solution for manufacturers because it is more budget friendly than AI implementation and works well with existing hardware on the production line, while achieving the same performance as the more expensive all-inclusive solution. A vision AI software solution that has a lower up-front investment and is faster to train does not just pay for itself faster, it can also be applied to a much wider set of use cases — from the raw materials coming in, to the palletizing of products shipping out. Vision AI software can be deployed quickly without AI expertise, and the minimal or no up-front investment results in a shortened return-on-investment timeframe of months rather than years.

Versace explains how manufacturers of all sizes can leverage vision AI to improve quality inspections and augment production yield. He cites real-world examples across industries such as food, plastics, pharma, and electronics to demonstrate how today’s vision AI is making an impact by identifying defects and improving the quality of products ranging from printed circuit board assemblies (PCBAs) to food packaging. Attendees will leave the session with a better understanding of how vision AI solutions can help them improve quality inspection on the production line while scaling to meet product demands.

***This presentation premiered during the 2022 Vision Spectra Conference. For more information on Photonics Media conferences, visit

About the presenter:
Massimiliano VersaceMassimiliano (Max) Versace, Ph.D., is the CEO and co-founder of Neurala. With decades of experience and research in AI and deep learning techniques, Versace is now focused on making AI more applicable and useful in real-world applications, specifically in the manufacturing and industrial industries. Prior to co-founding Neurala, he co-founded Boston University’s Neuromorphics Lab and worked with government organizations such as DARPA and NASA to develop AI with the ability to learn in real time, at the edge, and free of the traditional constraints of computational hardware. Versace was a keynote speaker at Mobile World Congress Drone and has spoken at numerous other events and venues, including at the Pentagon, Summit, TEDx, NASA, MIT Technology Review’s Future Compute, and IMA Sensing Future Days. His work has been featured on CNN and MSNBC, and in Forbes, Fortune, the Associated Press, TechCrunch, VentureBeat, and more. Versace holds a doctorate in cognitive and neural systems from Boston University, and a doctorate in experimental psychology from the University of Trieste in Italy. He also holds several patents.
artificial intelligencemachine visionSoftwareVision Spectrainspectionquality control
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