The Southwest Research Institute-developed Solar Wind Plasma Sensor (SWiPS) has been delivered and integrated into a National Oceanic and Atmospheric Administration (NOAA) satellite dedicated to ...

Sensors Expo this year premiered a new technical-program track titled “Novel Approaches to Measurement and Detection” in conjunction with EE-Evaluation Engineering. Sessions addressing topics ranging ...

Las Vegas, NV (April 10, 2024) – Quanergy, a leading provider of 3D LiDAR technology for physical security and business intelligence applications, is showcasing two new additions to its portfolio of ...

Caterpillar has unveiled the proprietary Cat Track Wear Sensor (CTWS) for Cat machines and undercarriages. The sensor remotely monitors undercarriage wear to predict wear out, plan maintenance and ...

When [tdw] wasn’t feeling well one day, his wife suggested that it might be due to poor air quality in their home. While an ordinary person could have simply opened a window after hearing such an idea ...

Anantics is providing solutions using passive UHF RFID sensor technology from Asygn to track location, as well as temperature and other conditions for high value assets. The best way to store guns is ...

TURCK Q-track™ linear position sensor family has been expanded to include the newest QR14 and the Q17 models. Measuring just 14 mm and 17 mm in height, the compact, non-contact inductive sensors ...

MetroLab Network has partnered with Government Technology to bring its readers a segment called the MetroLab Innovation of the Month Series, which highlights impactful tech, data and innovation ...

Researchers demonstrated a magnet-based system that can track the location of muscles and could be used to help people control prosthetic limbs and other wearable robotic devices. Using a simple set ...

A British startup plans to create a new wave of athletics records by reinventing the running track. London-based Feldspar is engineering the surface to maximise speed. It all starts with the flooring ...

In a study from Oxford University, researchers found that by using a combination of wearable sensor data and machine learning algorithms the progression of Parkinson’s disease can be monitored more ...