GROWTH OPPORTUNITIES IN GAS SENSORS, BIOSENSORS, SWEAT SENSORS, LIDAR SENSORS, AND IMAGE SENSORS

GROWTH OPPORTUNITIES IN GAS SENSORS, BIOSENSORS, SWEAT SENSORS, LIDAR SENSORS, AND IMAGE SENSORS

RELEASE DATE
21-May-2021
REGION
Global
Research Code: D727-00-B6-00-00
SKU: TM00669-GL-TA_25448

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TM00669-GL-TA_25448

$950.00

$855.00 save 10 %

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Description

The Sensor Technology Opportunity Engine issue for May 2021 covers innovations in gas sensors, biosensors, LiDAR, sweat and image sensors. Some of the innovations profiled include chip-based biosensors for conducting antigen tests, sensors for glucose detection from sweat, sensors for detecting Ebola virus, graphene sensors for COVID-19 detection, and multi-gas controllers for hazardous gas detection.

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.

Key words: Gas sensor, biosensor, sensor-on-chip, LiDAR, graphene sensor, COVID-19, Ebola, CMOS, glucose, sweat sensor, printed sensor

Table of Contents

INNOVATIONS IN GAS SENSORS, BIOSENSORS, SWEAT SENSORS, LIDAR SENSORS, AND IMAGE SENSORS

  • UNIVERSITY OF CALIFORNIA, SANTA CRUZ, US
  • NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY (NIST) AND VIRGINIA COMMONWEALTH UNIVERSITY (VCU), US
  • UNIVERSITY OF CALIFORNIA, SAN DIEGO, US
  • THE UNIVERSITY OF IOWA, IOWA STATE UNIVERSITY, AND NATIONAL CENTER FOR BIOTECHNOLOGY INFORMATION, US
  • UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN, US
  • LELANTOS, US
  • VELODYNE LIDAR INC., US
  • THERMA, US
  • AMBER, TRINITY’S SCHOOL OF PHYSICS, IRELAND
  • MSR-ELECTRONIC, GERMANY
  • NEW IMAGING TECHNOLOGIES (NIT), FRANCE
  • TEXAS A&M UNIVERSITY, US
  • SIDEWALK LABS, US
  • ALLEGRO MICROSYSTEMS INC., US
  • IPVIDEO CORPORATION, US

KEY CONTACTS

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Related Research
The Sensor Technology Opportunity Engine issue for May 2021 covers innovations in gas sensors, biosensors, LiDAR, sweat and image sensors. Some of the innovations profiled include chip-based biosensors for conducting antigen tests, sensors for glucose detection from sweat, sensors for detecting Ebola virus, graphene sensors for COVID-19 detection, and multi-gas controllers for hazardous gas detection. 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. Key words: Gas sensor, biosensor, sensor-on-chip, LiDAR, graphene sensor, COVID-19, Ebola, CMOS, glucose, sweat sensor, printed sensor
More Information
No Index No
Podcast No
Industries Test and Measurement Instrumentation
WIP Number D727-00-B6-00-00
Is Prebook No