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Millimeter-wave imaging inspection in real time

With its new quality and inspection R&S IMAGER millimeter-wave scanner, Rohde & Schwarz aims to simplify the industrial inspection of packaged products. The system sees through common packaging materials at production speed without using X-rays, protecting both products and operators. The high-contrast 3D images are used as digital twins and can be automatically integrated into AI-powered fault-detection systems. Sees through plastics, cardboard, and composites. Applications include food and beverage, pharmaceuticals, logistics.
Learn more.

What are single-loop process controllers?

PLCs are powerful, but complex control isn't always necessary. For standalone processes requiring single-variable monitoring -- like temperature, pressure, or flow -- a single-loop controller is ideal. See how single-loop controllers can streamline your next project.
Read the AutomationDirect tech tip.

Great Resources: Flexible circuit design guide

Tech-Etch uses advanced techniques to manufacture flex and rigid-flex circuits to exacting customer specs. Special processes include selective plating a single circuit with two different finishes, contoured circuits with variable metal thickness, semi-additive and subtractive techniques, open window or cantilevered contact leads, plus SMT for component assembly. Tech-Etch specializes in flexible circuits for medical, telecommunications, aerospace, semiconductor, and other high-reliability electronic applications.
Learn about flex circuits and get the guide (no registration required).

EMI Investigations: New immunity development system

Saelig Company announces the Langer E1 Immunity Development System for EMI investigations. This compact, affordable kit simulates burst and ESD interference to pinpoint layout weak spots down to IC pins. By eliminating "black box" guesswork early in development, engineers can efficiently identify coupling mechanisms, test measures, and resolve immunity issues before compliance failure.
Learn more and see it in action.

Battery packs for unmanned aerial vehicles

Re:Build Manufacturing has launched U.S.-assembled, NDAA-compliant lithium-ion battery packs for commercial, public safety, and defense UAV applications. Available in Core, Power, and Performance series, the packs use non-FEOC cells and are produced at Re:Build's advanced facility in New Kensington, PA. Re:Build also offers custom pack and battery management system development.
Learn more.

Easy-to-use precision measurement system

Optical Gaging Products has announced the StarLite S1, a compact, semi-automatic 3-axis video measurement system. It combines fully automatic video measurements with manual stage motion and features an IntelliCentric-S optical system for high-resolution images. Powered by Measure-X software, this system delivers fast, repeatable, high-accuracy results, making it ideal for both shop-floor and quality-control applications.
Learn more.

Why a soccer kick bends the ball path: SOLIDWORKS simulation

With SOLIDWORKS Flow Simulation, you can virtually test a ball's flight path and see the science behind its amazing trajectory. Visualize anything you want to test, including the physics that make a ball curve and dip, to optimize performance and reduce physical testing. See the SOLIDWORKS Flow Simulation study setup and learn about the Magnus effect where a spinning object moving through a fluid curves away from its straight path. [Credit: Screenshot courtesy of SOLIDWORKS]
View the video.

Lightning-fast in-line verification, high-performance barcode reading

The Omron VHV5 Barcode Reader now combines high-performance barcode reading and calibrated ISO verification in one device. Replacing offline sample checks, it delivers 100% inline verification at production speeds up to 1,200 parts per minute. With flexible lighting, the VHV5 easily inspects labels and Direct Part Marks, even on challenging curved or irregular surfaces.
Learn more.

How to choose the right industrial Ethernet switch

Antaira Technologies breaks down 10 mission-critical capabilities separating industrial-grade switches from commercial compromises. Even if you aren't in IT engineering, you will find valuable networking knowledge in this guide to protect vital infrastructure.
Read the full article.

New CAM software cuts robotic machining deployment

At Automate (Booth #4476), RoboDK will showcase RoboDK CAM, which generates robotic machining programs directly from CAD files. Designed for easy deployment, it cuts setup time by up to 40%. Live demonstrations will show users how to create collision-free robot motion straight from CAD data, eliminating manual line-by-line coding.
Learn more about RoboDK CAM.

AI Tools You Can Use: What is OpenClaw? How do I get it and use it?

OpenClaw is trending big time right now, but what is it? The YouTubers over at Create a Pro Website run through the basics of what you need to know and how to implement it. Basically, OpenClaw is a next-gen 24/7 AI assistant that lives on your computer and can perform actions for you. You talk to it through a chat app. You can set it up to do real work such as alert you to important emails, answer emails for you, manage your calendar and travel, and so much more. There is a great intro video here and also a longer, very thorough step-by-step video to setting up OpenClaw.
View the OpenClaw intro video.
View the OpenClaw setup video.

New! 6-digit programmable display/controller

Bristol Instruments has released the OM 403UNI Series displays/ controllers, allowing users to monitor two or three simultaneous functions. Configured via OM Link software or front-panel buttons, they feature four- or six-digit displays with +/-0.05% of f.s. range accuracy. They function as numeric/bar-graph displays, controllers, data recorders, or accumulators. Additionally, they detect and alert users to error conditions like broken sensor wires.
Learn more.

Mini edge AI systems for vision, generative AI

As enterprises transition from PoC to real-world edge AI deployment, Aetina has launched its Mini Series Edge AI systems. Powered by NVIDIA Jetson Orin Nano and NX modules, these compact, fanless systems deliver high-performance vision and generative AI inference. Engineered for demanding industrial environments, they offer flexible camera connectivity, space-saving designs, and long-term reliability to accelerate smart infrastructure.
Learn more.

Thermal imaging on the quality control line

On a high-speed food and beverage line, what you can see is not always what is happening. Thermal imaging adds a different layer of control. Instead of relying on surface appearance, it measures heat distribution as seals are formed and products move through the line, providing continuous, 100% in-line inspection instead of just sampling.
Read the full article.

Built for the test bench, ready for the field

FUTEK's IDC150 Signal Conditioner packages high-performance signal conditioning in a rugged aluminum enclosure. Built for engineers needing accurate, synchronized data from strain gauge sensors, it fits prototyping and lab environments. The device connects seamlessly to existing setups and pairs with SENSIT software and Python APIs. It is ideal for compact, high-performance digital sensor evaluation.
Learn more.

MIT researchers build Quad HD TV chip

A new video standard enables a fourfold increase in the resolution of TV screens, and an MIT chip was the first to handle it in real time.

By Larry Hardesty, MIT

It took only a few years for high-definition televisions to make the transition from high-priced novelty to ubiquitous commodity -- and they now seem to be heading for obsolescence just as quickly. At the Consumer Electronics Show (CES) in January, several manufacturers debuted new ultra-high-definition, or UHD, models (also known as 4K or Quad HD) with four times the resolution of today's HD TVs.

A new video-coding standard known variously as ultra-high-def (UHD), Quad HD, or 4K promises four times the resolution (left) of today's high-definition video. [Image courtesy: MIT]

 

 

Besides screens with four times the pixels, UHD also requires a new video-coding standard, known as high-efficiency video coding, or HEVC. Also at CES, Broadcom announced the first commercial HEVC chip, which it said will go into volume production in mid-2014.

At the International Solid-State Circuits Conference last week (Feb. 17-21), MIT researchers unveiled their own HEVC chip. The researchers' design was executed by the Taiwan Semiconductor Manufacturing Company, through its University Shuttle Program, and Texas Instruments (TI) funded the chips' development.

Although the MIT chip isn't intended for commercial release, its developers believe that the challenge of implementing HEVC algorithms in silicon helps illustrate design principles that could be broadly useful. Moreover, "because we have the chip with us, it is now possible for us to figure out ways in which different types of video data actually interact with hardware," says Mehul Tikekar, an MIT graduate student in electrical engineering and computer science and lead author of the new paper. "People don't really know, 'What is the hardware complexity of doing, say, different types of video streams?'"

In the pipeline
Like older coding standards, the HEVC standard exploits the fact that in successive frames of video, most of the pixels stay the same. Rather than transmitting entire frames, it's usually enough for broadcasters to transmit just the moving pixels, saving a great deal of bandwidth. The first step in the encoding process is thus to calculate "motion vectors" -- mathematical descriptions of the motion of objects in the frame.

On the receiving end, however, that description will not yield a perfectly faithful image, as the orientation of a moving object and the way it's illuminated can change as it moves. So the next step is to add a little extra information to correct motion estimates that are based solely on the vectors. Finally, to save even more bandwidth, the motion vectors and the corrective information are run through a standard data-compression algorithm, and the results are sent to the receiver.

The new chip performs this process in reverse. It was designed by researchers in the lab of Anantha Chandrakasan, the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering and head of the MIT Department of Electrical Engineering and Computer Science. In addition to Chandrakasan and Tikekar, developers include Chiraag Juvekar, another graduate student in Chandrakasan's group; former postdoc Chao-Tsung Huang; and former graduate student Vivienne Sze, now at TI.

The chip's first trick for increasing efficiency is to "pipeline" the decoding process: A chunk of data is decompressed and passed to a motion-compensation circuit, but as soon as the motion compensation begins, the decompression circuit takes in the next chunk of data. After motion compensation is complete, the data passes to a circuit that applies the corrective data and, finally, to a filtering circuit that smooths out whatever rough edges remain.

Fine-tuning
Pipelining is fairly standard in most video chips, but the MIT researchers developed a couple of other tricks to further improve efficiency. The application of the corrective data, for instance, is a single calculation known as matrix multiplication. A matrix is just a big grid of numbers; in matrix multiplication, numbers in the rows of one matrix are multiplied by numbers in the columns of another, and the results are added together to produce entries in a new matrix.

"We observed that the matrix has some patterns in it," Tikekar explains. In the new standard, a 32-by-32 matrix, representing a 32-by-32 block of pixels, is multiplied by another 32-by-32 matrix, containing corrective information. In principle, the corrective matrix could contain 1,024 different values. But the MIT researchers observed that, in practice, "there are only 32 unique numbers," Tikekar says. "So we can efficiently implement one of these [multiplications] and then use the same hardware to do the rest."

Similarly, Juvekar developed a more efficient way to store video data in memory. The "naive way," he explains, would be to store the values of each row of pixels at successive memory addresses. In that scheme, the values of pixels that are next to each other in a row would also be adjacent in memory, but the value of the pixels below them would be far away.

In video decoding, however, "it is highly likely that if you need the pixel on top, you also need the pixel right below it," Juvekar says. "So we optimize the data into small square blocks that are stored together. When you access something from memory, you not only get the pixels on the right and left, but you also get the pixels on the top and bottom in the same request."

Chandrakasan's group specializes in low-power devices, and in ongoing work, the researchers are trying to reduce the power consumption of the chip even further, to prolong the battery life of quad-HD cell phones or tablet computers. One design modification they plan to investigate, Tikekar says, is the use of several smaller decoding pipelines that work in parallel. Reducing the computational demands on each group of circuits would also reduce the chip's operating voltage.

Published February 2013

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