Beyond the Concept: Automate Your Manufacturing Processes with 3D Machine Vision Scanners

 

3D machine vision scanners are changing the manufacturing industry by augmenting automation systems to make their capabilities more powerful and adaptable. Terry Hermary, co-founder and CEO of Hermary, and Doug Taylor, principal engineer at Concept Systems, joined host of Beyond the Concept Tyler Kern to discuss how this technology is benefiting the industry.

The data acquired through 3D vision allows companies to learn throughput information, find gaps in processes, measure goals in real time and predict issues before they arise. This is possible through the three different types of data collected: 3D data, solution data and results data.

The main benefit from this technology is the ability to interact with the data, the flexibility and level of accuracy in providing solutions.

“It is amazing the information you can gather beyond what you’re actually looking for,” Taylor said.

However, Taylor also warned that it is easy to get ‘lost’ in the massive amount of information collected.

While many industries have realized the benefits of 3D vision, the semi-conductor industry is the top adaptor, closely followed by wood processing. Hermary gave some real-life examples of manufacturer benefits, such as sawmills that have gone from labor-intensive, dangerous environments to significantly improved safety and much higher throughput.

Hermary aims to partner with companies and help incorporate this type of technology to make their processes more efficient and automated. Unfortunately, the biggest impediment to implementing this technology is the lack of system integrators that are 3D scanning savvy.

With every industry seeing a mass exodus of employees, 3D machine vision is a great way to fill those staffing gaps with robots, especially for repetitive tasks.

Concept Systems and Hermary invites customers to bring their biggest challenges for them to find a solution for.

Follow us on social media for the latest updates in B2B!

Image

Latest

learning
From 30 to 1,500 Students: Scaling Mass Experiential Learning with How to Change the World
January 5, 2026

Higher education is at a crossroads. Institutions are being asked to do more with less—serve more students, prepare them for a rapidly changing, AI-shaped workforce, and prove the real-world value of a degree—all at the same time. Employers consistently note that while graduates are technically capable, many struggle to apply what they’ve learned to…

Read More
What the Future Looks Like if We Get It Right
What the Future Looks Like if We Get It Right
December 30, 2025

As the Patient Monitoring series concludes, the conversation shifts from today’s challenges to tomorrow’s possibilities. This final episode of the five-part Health and Life Sciences at the Edge series looks ahead to what healthcare could become if patient monitoring gets it right. Intel’s Kaeli Tully is joined by Sudha Yellapantula, Senior Researcher at Medical…

Read More
data center infrastructure
AI Is Forcing a Rethink of Data Center Infrastructure at Every Level
December 29, 2025

The data center industry is being redefined by AI’s demand for faster, denser, and more scalable infrastructure. According to McKinsey, average rack power densities have more than doubled in just two years. It went from approximately 8 kW to 17 kW, and is expected to hit 30 kW by 2027. Global data center power demand is projected…

Read More
Emergency department
How Predictive AI Is Helping Hospitals Anticipate Admissions and Optimize Emergency Department Throughput
December 24, 2025

Emergency departments across the U.S. are under unprecedented strain, with overcrowding, staffing shortages, and inpatient bed constraints converging into a throughput crisis. The American Hospital Association reports that hospital capacity and workforce growth have lagged, intensifying delays from arrival to disposition. At the same time, advances in artificial intelligence are moving from experimental to operational—raising…

Read More