Markerless Navigation for Specialized Environments

This inventive concept adapts markerless navigation using AI computer vision for specific, narrow markets or unique operational environments, such as high-security needs, disaster relief, or extreme weather conditions.

The original patent, 'Markerless navigation using AI computer vision,' provides a powerful tool for improving surgical outcomes. However, it lacks adaptability for specialized environments, which may have unique constraints or requirements. This inventive concept addresses this limitation by developing specialized variations of the markerless navigation system.

The new inventive concept comprises a system for robotic surgery or robotic-assisted surgery in a high-security environment, where the object of interest is a sensitive surgical tool. The system uses artificial intelligence and a patterned light beam to track the object. Additionally, the concept includes methods for registering, tracking, and/or guiding an object of interest in disaster relief scenarios, extreme weather conditions, low-light environments, and search and rescue operations. These methods utilize portable, battery-powered light sources, high-intensity focused light beams, and wearable, portable light sources.

The new claims introduce novel adaptations of the markerless navigation system for specific, narrow markets or unique operational environments. These adaptations are non-obvious and provide significant improvements over the original patent, enabling the system to operate effectively in challenging environments.

Alternative embodiments of the inventive concept could include using different types of light sources, such as laser or LED lights, or varying the pattern of the light beam. Additionally, the system could be integrated with other sensors or tracking technologies to enhance its accuracy and robustness.

The inventive concept has significant commercial potential in industries such as healthcare, disaster relief, and search and rescue. The ability to provide accurate, real-time tracking in challenging environments could lead to improved outcomes, reduced costs, and enhanced safety.