Search results for: 'sensing wind'

The research study focuses on user interface applications of advanced touchless sensing technologies. Such advanced technologies as gesture sensing, voice command, brain wave sensing, and eye tracking are creating new opportunities for touchless sensing applications. Next-generation interfaces that are enabled by these advanced touchless technologi...

The Sensor Technology Opportunity Engine provides profiles of innovations related to high-speed Hall sensor technology enabling next-generation X-by-Wire motor control and precise position sensing; sustainable electromyography (EMG) sensor technology for enhanced neuromuscular monitoring and improved clinical efficiency; networked radar sensing pla...

Quantum sensing is transitioning from laboratory research to industrial deployment, driven by the need for ultra-precise, reliable measurement in high-impact sectors such as healthcare, defense, and advanced manufacturing. This shift reflects a broader move from controlled, research-grade environments toward scalable, field-ready systems that meet ...

The Sensor Technology Opportunity Engine provides profiles of innovations related to Multi-Scenario Edge AI Sensing System, 3-gain Design Based InGaAs Sensor, Non-Contact Displacement Sensor Solutions for Industry 4.0 Applications Non-Contact Hall Effect Precision for Harsh Environments, Stacked SPAD Depth Sensor for Automotive dToF LiDAR and Smart...

Sensing technologies are increasingly impacting consumer electronics, driven by the increasing trend toward connectivity among individuals and devices. This phenomenon is contributing to a proliferation of information enabled by less expensive, low-power, smaller, more ubiquitous sensors that can be embedded in a plethora of devices or applications...

Advanced driver assistance systems (ADAS) and autonomous vehicles (AVs) use cameras as an integral part of the perception sensor suite to gather vision-based information to help systems make logical decisions through artificial intelligence (AI)-based sensing and perception algorithms that enable autonomous driving features. Passenger vehicle ca...

Multimodal perception is transforming robotics and automotive systems by combining cameras, lidar, radar, event-based vision, and other sensing technologies through AI-driven sensor fusion. These advances enhance environmental perception, localization, and real-time decision-making. This Frost Radar™ evaluates 11 companies shaping the multimodal pe...

Smart sensors employs microelectromechanical systems (MEMS) and very-large-scale integration (VLSI) technology to function effectively. A smart sensor is a device that receives input from the physical world, and upon detection, leverages internal computing power to carry out predefined actions to provide optimized output. Key operations of smart se...

Advanced driver assistance systems (ADAS) and autonomous vehicles use cameras as an integral part of the perception sensor suite to gather vision-based information that helps systems make logical decisions through artificial intelligence-based sensing and perception algorithms that enable autonomous driving features. Automotive cameras are broad...