OUR CORE R&D / These systems range from individual

autonomous robotic platforms to large-scale, multi-agent systems

for information management, command & control

OUR CORE R&D

These systems range from individual  autonomous robotic platforms to large-scale, multi-agent systems  for information management, command & control

Computer Vision and Perception

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Computer Vision and Perception

At Charles River Analytics, our work on computer vision goes beyond the traditional definition of enabling computers to see, identify, and process images the way people do. We apply AI and machine learning to creating BVLOS (beyond visual line of sight) capabilities and to fusing optical data with infrared, radiation, and other sensor data. We also build software tools that enable developers to use our advanced technologies to prototype their own computer vision systems.

Related Projects:

Multiple-camera system that ensures safer operations using ML

ASIMOV

A multicamera system that ensures safer operations using machine learning

Various ships and boats on water with inset map below. Vessels are being identified and tagged: Contrainer Ship, Sailboat, Object, Ship. One is Tagged as Container Ship - PPL. Text was recognized on vessel.

A-TEAM

Maritime object identification and optical character recognition for situational awareness

ROMAN

Real-time ortho-mosaics for maritime situational awareness and navigation

ORION

Human-computer interfaces for US Army commanders

TNT-SCAN

A system to track nuclear threats in urban environments

INTUIT

Role and task-tailored interfaces for mission planning

CANDID

CANDID

A system that detects and prevents cybersecurity breaches in military ground vehicles

DRIVE

A rapid human-computer interaction prototyping tool

SHERLOCK

A platform for prototyping solutions on physiological, neurological, and behavioral state

FOLLOW-ME

A human-machine interface for unmanned ground vehicles

MINOTAUR

An interface for controlling robotic leader-follower systems

CROWSNEST

A maritime traffic awareness solution for an unmanned surface vessel

MULE-F

A compact system for autonomously tracking and following