This is your resource for developments in smart sensor systems and data acquisition. Browse technical briefs, articles, and white papers on advanced applications in transducer technologies, detector systems, data acquisition, and sensor-related technologies.
MIT researchers have built an AR headset that gives the wearer X-ray vision. The headset combines computer vision and wireless perception to automatically locate a specific item that is hidden from view.
Boasting a 256-channel high-resolution sensing array and an energy-efficient machine learning processor, NeuralTree can extract and classify a broad set of biomarkers from real patient data and animal models of disease in-vivo.
With the advent of lower-cost robots that are easier and cheaper to deploy, collaborative robots or cobots are finding new industrial and consumer applications.
In this compendium of articles from the editors of Automotive Engineering and ADAS & Autonomous Vehicle Engineering magazines, see how advances in computer simulation, lidar/sensors, display technology, and...
Professor Wolfgang Fink of University of Arizona engineers discusses a new system that allows autonomous vehicles to scout out underground habitats for astronauts.
Now, broader availability of sensors, evolving capabilities, and new digital platforms and tools are making IIoT capabilities more readily available and easy to manage with small teams.
This year, Sensors Converge will be held at the Santa Clara (California) Convention Center from Tuesday June 20 – Thursday June 22. Some highlights include: Extending Battery Life to Empower the IoT/IIoT; The Smarts Behind Smart Cities and Smart Farms using Sensors in IoT; and more.
Bioengineers have developed sensors that monitor multiple soil parameters to provide farmers with accurate, real-time, continuous data to improve soil health and productivity.
A new sensor — so cheap and simple to produce that it can be hand-drawn with a pencil onto paper treated with sodium chloride — could clear the way for wearable, self-powered health monitors.
Air pollution is a major public health problem. Now, an MIT research team is rolling out an open-source version of a low-cost, mobile pollution detector that could enable people to track air quality more widely.
A reliable and cost-effective sense of touch now lets robots handle fragile objects to fulfill an even wider variety of tasks and interact more safely with humans.
Researchers have developed a way to detect bacteria, toxins, and dangerous chemicals in the environment using a biopolymer sensor that can be printed like ink on a wide range of materials.
An interview with Tom Doyle, CEO and Founder of Aspinity, Pittsburgh, PA, about the company's analog machine learning chip, the AML100 analog machine learning processor.
An apparatus such as a wireless sensor used in a hazardous location must meet the required safety standards. Those standards are amplified when the hazardous duty is done in areas in or near explosive atmospheres.
See what's New on the Market, including eFuses, a Portable Particle Counter, a high-efficiency right angle gearmotor, graphical panel meters, and more.
The University of Maine’s Wireless Sensor Networks laboratory has developed a novel method of using AI and machine learning to make monitoring soil moisture more energy and cost efficient.
Printed radio frequency (RF) surface acoustic wave (SAW) sensor devices are a promising technology for providing highly reconfigurable, cost-effective, and multi-parameter sensing.
Researchers have developed a wearable ultrasound device — about the size of a postage stamp — that can assess both the structure and function of the human heart.