CLR's IP is a secure patent for a sensor lens cleaning system that provides enhanced cleaning capabilities for EO/IR cameras, optics, LIDAR, radar and other sensor modalities used for automation, driving, targeting and control on manned and unmanned military ground vehicles.  The intent of the system is to provide assured cleaning capability across the full range of the military operating environments, to ensure platform mission sensing in the harshest conditions.  The IP secures our core concept of using a fully pressurized cleaning system, an optimum combination of pressurized heated fluid and compressed air, the ability to use multiple fluids to clean different contaminants, and the ability to integrate on and share data across platforms for intelligent rapid operation within multi-platform formations.

Pub. No.: US 2021/0402961 A1

Date: Dec. 30, 2021

AUTOMATED FLUID DISPENSING SYSTEMS FOR CLEANING VISION-BASED SURFACES

Applicant: Clear Lens Robotics, Yorktown, VA

Inventor: Demetris A Agrotis, Canton, MI (US)

Provisional application No. 63/044,379, filed on Jun.26,2020.

ABSTRACT

An automated fluid dispensing system, apparatus and method may b e configured t o automatically clean one or more vision-based surfaces. The system may include a hardware controller, a plurality o f sensors, manifold ports, a plurality of pressure supply lines, first, second, and third fluid sources, a compressed air source, first, second, and third valves, a nozzle array, or a combination thereof. The controller may be i n communication with a plurality of sensors and be configured to receive and adapt to one or more environmental and vision conditions of the one or more vision-based surfaces. The system may include an automatic response system to provide adaptive operations in response to the information herein such as internal and external parameters and operate under one or multiple pulse-width modulation (PWM) dispensing sequences in response to a determined condition (e.g., contamination state or level) associated with one or more vision-based surfaces.