BOSCH Sensortec has released the first gas sensor with artificial intelligence. The BME688 is an innovative four-in-one air quality measurement solution that combines gas, humidity, temperature, and barometric pressure sensing with artificial intelligence.
EMVA1288 is a standard that defines what aspects of camera performance to measure, how to measure them, and how to present the results in a unified method.
When transitioning from cased to board level cameras, system designers should carefully consider their imaging and camera performance requirements.
AWM Frictionless™ can be adapted to existing stores, offering a fully autonomous and contactless shopping experience or simply another easy option for customers to checkout.
AZoSensors speaks with Dr. Marcus Hultmark, an associate professor in the Department of Mechanical and Aerospace Engineering at Princeton University. Marcus led a team that found a revolutionary new approach to measuring flow rates.
Recent advancements in battery technology and manufacturing techniques are enabling an upward trend best observed in the commercial unmanned aerial vehicle (UAV) market.
By Yusuff Adeniyi Yusuff
17 Mar 2021
AZoSensors speaks with Dr. Yajing Shen, Associate Professor at CityU’s Department of Biomedical Engineering (BME). Dr. Shen is part of a team comprised of researchers from the City University of Hong Kong (CityU) and the University of Hong Kong (HKU), that developed a novel tactile sensor with several characteristics matching those of natural skin.
By Joan Nugent
16 Mar 2021
The Internet of Things (IoT) is a network of sensors and devices that capture data and relay it to each other, communicating all the while. This could enable winemakers to track a multitude of variables that can impact the wine filtration process, allowing for optimization.
Autonomous vehicles (AVs), more commonly known as driverless vehicles, are arguably the next big revolution in automotive technology. But with this revolution comes a challenge: how do you ensure onboard artificial intelligence (AI) can respond in real-world traffic conditions? One solution is to capture real-world data using light detection and ranging (LiDAR).
As autonomous cars are inching closer to reality and safety is becoming a stronger focus, in-vehicle sensing is emerging as an important market. Monitoring systems utilizing near-infrared light are becoming more common and have proven effective. Radiant Vision Systems offers many solutions for in-vehicle sensing.