by Gary Mintchell | May 6, 2025 | Technology
Coordinate Measuring Machines (CMM) do not reside in my my specific level of expertise. I love new applications of technology, though. Hexagon engineers have brought CMMs into the digital age with many benefits for manufacturers. These words fail to adequately express the power of the advancement. I’d recommend visiting the website to watch demos. Pretty cool.
News in brief:
- Faster inspection with no trade-offs – designed and engineered from the ground up to deliver precision while closing productivity gaps and eliminating bottlenecks
- Enables intuitive operation for all skill levels through simplified workflows and cloud-powered software
- Built for connected facilities with an end-to-end digital architecture, seamless automation integration, and scalable upgrade paths
Transforming quality inspection with high-speed, connected measurement workflows, Hexagon’s Manufacturing Intelligence division announced May 6, 2025 the launch of MAESTRO, an all-new, next-generation coordinate measuring machine (CMM) engineered from the ground up to meet the rising productivity demands of modern manufacturing. Designed to combat global skills shortages and increasing quality requirements, MAESTRO sets a new standard for speed, simplicity, and digital integration in metrology.
Expanding on Hexagon’s heritage of metrology excellence, MAESTRO is built upon four principles: to be fast, easy to use, connected and scalable. Its digital-first architecture offers the industry rapid measurement routines, an intuitive user experience and seamless data integration. With modular software and hardware, it is designed to scale with evolving production needs, making it ideal for aerospace, automotive, and high-precision manufacturing environments where there is a high demand for accuracy to deliver safety, compliance, and performance.
MAESTRO features a newly-developed digital architecture, incorporating digital sensors, a single cable system, and a completely new controller with brand new firmware. Together, these new capabilities increase throughput, streamline the complete measurement operation, and ensure future-ready connectivity for modern production environments.
Customers will benefit from:
- Unmatched precision at speed: MAESTRO’s redesigned mechanical structure, single-cable digital platform, and advanced sensors enable fast measurement with sub-micron tolerances that satisfy stringent industry standards. Customers gain the confidence of repeatable, certified measurements for critical quality control. This provides reliable results, even for complex shapes and the most demanding applications.
- Breakthrough speed: MAESTRO delivers industry-leading throughput through high-speed motion while maintaining exceptional precision. Synchronised axis movements, rapid calibration, and cloud-connected software significantly accelerate set-up, programming, execution, and reporting.
- Simpler use and programming: MAESTRO remasters quality inspection by simplifying CMM programming and streamlining workflows. An intuitive user interface, combined with next-generation cloud-native metrology apps powered by Hexagon’s Nexus platform, enable both expert metrologists and less-specialised staff to generate repeatable, standard-compliant measurements effortlessly – without the need for coding.
- End-to-end connectivity: Designed as an Industrial Internet of Things (IIoT) native measuring device, MAESTRO integrates into Hexagon’s Nexus ecosystem, sharing real-time data across design, production, and quality teams, driving data-driven decision-making and improving overall equipment effectiveness (OEE). Near-line or in-line integration with automation systems is seamless.
- Scalable platform: With a modular design and a robust roadmap for future upgrades, MAESTRO is built for scalability. Manufacturers can easily update software, sensors, and additional capabilities over time, ensuring that their investment remains future-proof and continuously supports evolving production needs.
MAESTRO will be offered initially in multiple sizes and configurations, each engineered for automated multi-sensor workflows utilising tactile probes and laser scanning probes from a new “digital rack” that tracks occupancy status, sensor supply health and status that can be accessed on-device and throughout the desktop and cloud-native apps. Additional future-ready models and enhancements will follow, all based on a single, coherent platform.
MAESTRO will be available for order from 30 June 2025.
by Gary Mintchell | Apr 25, 2025 | Technology
I use speech-to-text often in the mornings when I think of something during my morning walks. However, text-to-speech isn’t useful for me—but it could have many enterprise use cases. I first heard of Deepgram in January this year. This news makes one-per-month since. They’ve been busy. I haven’t used it, but it sounds useful.
From the company’s press release—Aura-2 Beats ElevenLabs, Cartesia, and OpenAI in Preference Testing for Conversational Enterprise Use Cases, Delivering Natural, Context-Aware Speech Synthesis with Unmatched Clarity, Speed, and Cost-Efficiency for Real-Time Enterprise Interactions
Deepgram, the leading voice AI platform for enterprise use cases, today announced Aura‑2, its next-generation text-to-speech (TTS) model purpose-built for real-time voice applications in mission-critical business environments. Engineered for clarity, consistency, and low-latency performance, and deployable via cloud or on-premises APIs, Aura‑2 enables developers to build scalable, human-like voice experiences for automated interactions across the enterprise, including customer support, virtual agents, and AI-powered assistants.
Aura-2 is built on Deepgram Enterprise Runtime—the same infrastructure that powers the company’s industry-leading speech-to-text (STT) and speech-to-speech (STS) capabilities—providing enterprises with the control, adaptability, and performance required to deploy and scale production-grade voice AI. With Aura-2, Deepgram extends its leadership in enterprise speech technology to TTS, enabling businesses to deliver natural, responsive, and contextually accurate conversations at scale. Today, more than 200,000 developers and 1,200 companies, including Fortune 500 enterprises and voice AI startups like Jack in the Box, Vapi, and OneReach.ai, build on Deepgram.
Enterprise applications require more than natural-sounding voices—they demand domain-specific pronunciation, a professional tone, consistent contextual handling, and the ability to perform reliably, cost-effectively, and securely—often in environments that require full deployment control.
Aura-2 delivers high-quality, context-aware speech designed for the scale, precision, and resilience that business-critical environments demand. Unlike entertainment-focused systems optimized for creative expression, Aura-2 reflects the priorities of enterprise voice AI, delivering benefits across key dimensions:
- Domain-Specific Pronunciation Excellence – Aura-2 ensures precise handling of industry terminology, accurately pronouncing healthcare terms, financial jargon, product names, and complex numerals without special tagging. This built-in accuracy eliminates the need for extensive pronunciation dictionaries or manual intervention, ensuring clear communication in specialized fields where precision matters most.
- Professional Voice Quality & Naturalness – With 40+ distinct voices spanning U.S. English and localized accents, Aura-2 delivers authentic, business-appropriate speech that avoids the overly theatrical tones common in entertainment-focused TTS. Organizations can select consistent voice personas—from “empathetic and charismatic” to “calm and professional”—that align with their brand identity across all customer touchpoints. Support for additional languages is already in development to further expand global reach.
- Context-Aware Delivery – Aura-2 intelligently adjusts pacing, pauses, tone, and expression based on context—whether delivering a phone number, handling a support escalation, or navigating a transactional interaction. The result is smooth, coherent speech with uniform volume and crisp articulation throughout.
Explore the blog for an in-depth breakdown of Aura-2’s capabilities: https://deepgram.com/learn/introducing-aura-2-enterprise-text-to-speech
Watch a fun demo of Deepgram’s voice agent API
Try Deepgram’s interactive demo
Get $200 in free credits and try Deepgram for yourself
by Gary Mintchell | Apr 1, 2025 | Networking, Technology
Some final thoughts from the ODVA meetings in March in Florida. I’ve been thinking for some time about complexity. Sometimes we get into the weeds with our technologies, building routine atop routines, solving a multitude of problems through creating others.
The thinking began with considering my reporting from the March 2022 ODVA meetings.
Paul Maurath, Technical Director—Process Automation from Procter & Gamble’s Central Engineering, presented the user’s view of automation. I will dispense with suspense. His conclusion, ”Help us manage complexity.”
Maurath told the story of setting up a test process cell in the lab. They used it to test and demonstrate Ethernet APL devices and the network. They discovered that APL worked, the controller didn’t see any issues. The discouraging discovery was the amount of configuration required and the complexity of setup. He referred to an E&I technician working the shift on a Sunday morning at 3 am. Call comes in. Device is down. With a regular HART / 4-20 mA device, the tech has the tools. But with an Ethernet device configuration can be a problem.
Conclusion:
- There is a need for new technology to deliver functionality and simplicity
- Standards are great
- Please keep end users in mind when developing standards and technology
A paper presented this year by Paul Brooks, Rockwell Automation, Wolfgang Hoeferlin, Endress+Hauser, Sean Vincent, FieldComm Group, and Joakim Wiberg, ODVA discussed the complexities and difficulties following the acquisition of FDT technology by FieldComm Group (FCG). They noted the industrial automation community has the opportunity to enhance our technologies to allow a single device integration standard to be used through discrete, hybrid and process automation disciplines. Double work on business logic and user interface for a device across different technologies and for use in different applications can be eliminated.
In this paper we outline the use cases that FCG – together with ODVA, PNO and OPC Foundation – wish to address. We will look at some of the initial technical assumptions that allow this work to dovetail into device description improvements already underway within ODVA. We will discuss the framework that will allow ODVA members to contribute to and benefit from this work.
Disclaimer: I have not written a line of code in years. As they discussed the details of configuring and programming and data amongst all these technologies, I was impressed by the complexity and the difficulty of the work.
Another end user paper was presented by former GM engineer Gary Workman laying out reasons for some specification changes to define a control network in EtherNet/IP. Similar to the talk by Maurath above, he began with a discussion of the complexity of installing and implementing not individual EtherNet/IP devices instead looking at the network as a whole. He pointed to the problems of electricians and maintenance workers working with a network. His ask was whether ODVA could consider adding guidance for implementing an entire EtherNet/IP control network to help workers on the factory floor.
Most of these meetings discuss the basic technologies and extensions of the product. Whether agreeable or not, the point of view of the end user always serves as a call to step back and consider the problem from their point of view. (Maybe a third of my career was product development—considering the user’s need while developing a product. I sympathize.)
Back to Maurath—complexity is a friction point to the application of technology. It should be the task of the technology provider to remove as much friction as possible.
by Gary Mintchell | Mar 17, 2025 | Generative AI, Technology
Just in from The Association for Advancing Automation (A3) about a timely new conference. I’m not sure I can make it to Seattle for this conference, but it looks like a good place to explore timely topics.
The Association for Advancing Automation (A3), the leading voice in automation and robotics, today announced the launch of a new industry event, FOCUS: Intelligent Vision & Industrial AI Conference. Set to take place September 24-25, 2025, in Seattle, this conference will provide an in-depth look at the latest advancements in machine vision, imaging technologies, AI, and smart automation applications. Attendees will explore cutting-edge innovations in vision systems and imaging while also diving into real-world case studies on AI-driven automation across industries, including manufacturing, aerospace, agriculture, defense, energy, logistics and medical devices.
With AI-powered automation and vision systems rapidly improving quality control, predictive maintenance, and robotics capabilities, industrial leaders need actionable insights to stay ahead of the curve. Unlike broader industry conferences, the FOCUS: Intelligent Vision & Industrial AI conference will center specifically on the real-world applications of AI and vision technology, featuring expert-led sessions, in-depth case studies, and hands-on technology showcases.
Registration opens soon! Stay ahead of the curve—visit the FOCUS 2025 page and subscribe for updates to be among the first to know when registration goes live.
by Gary Mintchell | Mar 14, 2025 | Sensors, Technology
I’ve had a soft spot for visual systems ever since my introduction to the technology in the mid-1980s. Trends of more powerful video sensors plus AI have combined to form a number of interesting new products.
This news comes from a company called Cybord (that I previously wrote about here), who bills itself as “the leading provider of advanced AI-powered electronic component analytics.” They have announced the launch of its Real-Time Interception (RTI) solution, an advanced visual AI-powered software that prevents defective components from being assembled onto Printed Circuit Board Assemblies (PCBAs) in real time. By identifying and discarding faulty components within milliseconds before placement, Cybord’s RTI safeguards product quality, integrity, and compliance while significantly reducing manufacturing waste and costs. The solution, which is already integrated into Fuji’s NXT III placing machines, is currently expanding to manufacturing lines globally.
The solution provides:
- Instantaneous Detection and Rejection: The solution identifies every type of defect and discards defective or unauthorized components in real time before they are assembled onto electronic circuit boards, ensuring only top-quality and approved components are utilized.
- Seamless Manufacturing Integration: The flexible, drop-in software solution easily integrates into existing manufacturing lines to enhance quality control without disrupting production workflows.
- Data-Packed Insights: The platform provides manufacturers with crucial analytics and monitoring and ensures compliance with IPC standards.
- Value-Add for Machine Manufacturers: RTI allows machine manufacturers to empower their EMS customers with enhanced production efficiency and quality control by reducing rework and scrap. EMSs, in turn, prevent unnecessary revenue loss.
The RTI solution builds on Cybord’s successful Quality Component Inspection (QCI) and Traceability Component Inspection (TCI) offerings, addressing a critical need voiced by manufacturers: the ability to prevent faulty components from penetrating the assembly line rather than detecting them post-assembly. The RTI solution has already driven high demand from leading industry players and is currently integrated in Fuji America’s pick-and-place machines.
Powered by a database of nearly five billion components and counting, Cybord utilizes deep learning and AI algorithms to advance the next generation of AI in electronics manufacturing. During placement on the assembly line, the visual AI solution prevents defective, damaged, and counterfeit components from being assembled onto PCBA in real time with 99.9% accuracy. Cybord currently works with industry leaders including Fuji America, Siemens, and Flex.
by Gary Mintchell | Feb 28, 2025 | Technology
A PR person I’ve known for some time recently introduced me to Deepgram. This company’s application of AI is for speech-to-text. I use speech-to-text to dictate thoughts to Apple Notes on my iPhone while out walking in nature. I would certainly welcome all advancements in this area.
Deepgram announced the launch of Nova-3, its most advanced speech-to-text (STT) model to date. Nova-3 is said to be accurate in challenging audio environments. It can be customized for industry-specific needs. The company’s infrastructure includes text-to-speech (TTS) and full speech-to-speech (STS) capabilities.
Nova-3 is engineered for real-time use cases leveraging an advanced latent space architecture to encode complex speech patterns into a highly efficient representation.
Sample use cases:
- Adverse acoustic conditions – Accurately transcribes speech in distant, noisy, and multi-speaker scenarios, making it ideal for air traffic control, drive-thrus, and call centers.
- Real-time multilingual support – Enables real-time transcription across multiple languages—the first model of its kind to do so—making it ideal for emergency response, global customer service, and multilingual operations.
- Industry-specific accuracy – Recognizes domain-specific terminology for specialized fields like medical and legal transcription.
- Precision data handling – Ensures accurate numeric recognition for retail, banking, and finance while supporting real-time redaction of sensitive information for compliance and data privacy.
