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Maritime object identification and optical character recognition for situational awareness
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OUR CORE R&D / These systems range from individual
autonomous robotic platforms to large-scale, multi-agent systems
for information management, command & control
These systems range from individual autonomous robotic platforms to large-scale, multi-agent systems for information management, command & control
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.
Maritime object identification and optical character recognition for situational awareness
A multicamera system that ensures safer operations using machine learning
Maritime object identification and optical character recognition for situational awareness
Real-time ortho-mosaics for maritime situational awareness and navigation
Human-computer interfaces for US Army commanders
A system to track nuclear threats in urban environments
Role and task-tailored interfaces for mission planning
A system that detects and prevents cybersecurity breaches in military ground vehicles
A rapid human-computer interaction prototyping tool
A library of computer vision processing tools
A platform for prototyping solutions on physiological, neurological, and behavioral state
A human-machine interface for unmanned ground vehicles
Safer cycling through connectivity
An interface for controlling robotic leader-follower systems
A maritime traffic awareness solution for an unmanned surface vessel
A compact system for autonomously tracking and following
