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Innovations in Underwater Wireless Sensor Networks, Ocean Monitoring Vessels, Temperature Sensors, Drones, and Infrared Parking Sensors

  • ID: 4622863
  • Report
  • September 2018
  • Region: Global
  • 15 Pages
  • Frost & Sullivan
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This issue of Sensor TechVision TOE highlights developments in hybrid sensors for underwater monitoring, autonomous vehicles and temperature sensors for ocean monitoring, drone surveying, and infrared parking space sensors. Sensor TechVision Opportunity Engine (TOE) captures global sensor-related innovations and developments on a weekly 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.


  • Wireless Sensors
  • Hybrid Sensors
  • Acoustic Sensors
  • Optical Sensors
  • NTC Thermistors
  • Ocean Monitoring
  • Drones
  • Surveying
  • Mapping
  • Infrared Sensors
  • Parking Space Sensors
Note: Product cover images may vary from those shown
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Recent Developments in Sensor Technologies

  • Underwater Wireless Sensor Networks for Marine Exploration
  • Automated Sea Vehicles for Ocean Monitoring
  • Novel Sensor for Ocean Temperature Monitoring
  • Drones for Precision Mapping and Surveying
  • Infrared Sensors for Parking Space Monitoring
  • Industry Contacts
Note: Product cover images may vary from those shown