Advancements in Image Sensing Impacting Homeland Security Applications - Homeland Security TOE

Description

This Homeland Security TechVision Opportunity Engine covers advancement in image sensing impacting homeland security applications. Innovations profiled include:
Bio inspired vision sensor for computer vision by Chronocam
Advancement in image sensor pixel architecture by Pixpolar
LIDAR sensor for advanced presence detection by LeddarTech
CMOS imaging solutions for security and surveillance by OmniVision Technologies
Smart Driving Technology for Collision Avoidance by Mobileye
Hyper spectral imaging for defense and security applications by Headwall Photonics
Imaging sensor for drone inspection by Sentera
Thermal Imaging system for security and rescue by Workswell

The Homeland Security TechVision Opportunity Engine (TOE) captures global innovations and developments related to homeland security on a monthly basis. Technologies enabling security segments, including incident management, border security, CBRNE, disaster management, cybersecurity, first responders, critical infrastructure protection, maritime security, food security, personal protective equipment, and airport security are captured in this TOE.

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 Control 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: Surveillance, law and order enforcement, night vision, collision avoidance, search and rescue, drones, LIDAR sensor, CMOS image sensor, hyper spectral imaging, thermal imaging, bio inspired vision, pixel, pixel architecture