Growth Opportunities in LiDAR Sensors, RADAR Sensors, Torque Sensors, Proximity Sensors, Sensor Fusion and Wearable Sensors

The Sensor Technology Opportunity Engine provides profiles of innovations related to Solid-State Beam Steering-Based Lidar SoC, Single-chip, High-performance, Low-power Edge AI-enabled Radar Sensor, Diffuse Photoelectric Proximity Sensors, Camera-LIDAR Fusion Sensor, Dewpoint Sensor to Monitor Real-Time Humidity and Air Quality, HealthGPT incorporated non-invasive healthcare wearable.

Sensor Technology Opportunity Engine (TOE) captures global sensor-related innovations and developments on a monthly basis. Innovations are directed toward developing smart and intelligent sensors with functionalities beyond sensing. Research focus areas include: low power sensors (energy harvesting), industrial automation sensors (M2M, vision sensor), ubiquitous sensor (WSN, sensor fusion), smart sensors (wearables, quantified self), high sensitivity and smaller size (MEMS, nanosensors), and improved security (CBRNE, terahertz). The need for low power, smaller, lighter sensors with enhanced performance attributes and minimal false alarms is driving innovations in the sensors space.

The Sensors and Instrumentation cluster covers innovations pertaining to technologies such as wireless sensors and networks, energy harvesting, haptics and touch, MEMS and nanosensors, Terahertz, ubiquitous/smart sensors, CBRNE, quantified-self, sensor fusion, M2M communications, and drones.

Keywords: LiDAR, RADAR, Sensor fusion, wearable, proximity, tactile, Edge-AI