18173239. SYSTEMS AND METHODS FOR IDENTIFYING LIGHTS SOURCES AT AN AIRPORT simplified abstract (Honeywell International Inc.)
Contents
SYSTEMS AND METHODS FOR IDENTIFYING LIGHTS SOURCES AT AN AIRPORT
Organization Name
Inventor(s)
Debabrata Pal of Bangalore (IN)
Abhishek Alladi of Hyderabad (IN)
Anvita Singh of Hyderabad (IN)
SYSTEMS AND METHODS FOR IDENTIFYING LIGHTS SOURCES AT AN AIRPORT - A simplified explanation of the abstract
This abstract first appeared for US patent application 18173239 titled 'SYSTEMS AND METHODS FOR IDENTIFYING LIGHTS SOURCES AT AN AIRPORT
Simplified Explanation: The patent application describes a system and method for identifying light sources at an airport using vehicle camera images. It involves determining regions of interest for each light source, calculating distance and angle from the camera, generating gray scale versions of the regions, and assigning colors based on pre-defined relationships.
- Light sources are detected in vehicle camera images.
- Regions of interest (ROI) are determined for each light source based on their location in the image.
- Distance and relative angle are calculated between each light source and the vehicle camera.
- Gray scale versions of ROIs are generated based on color intensities.
- Colors are assigned to light sources based on pre-defined color histograms.
- Light source types are assigned based on color and context data.
Key Features and Innovation:
- Detection and identification of light sources at an airport using vehicle camera images.
- Calculation of distance and angle between light sources and the camera.
- Generation of gray scale versions of regions of interest.
- Assignment of colors to light sources based on pre-defined relationships.
- Context data used to assign light source types.
Potential Applications: This technology can be used in airport operations for efficient monitoring and management of light sources, enhancing safety and security protocols.
Problems Solved:
- Efficient identification of light sources at an airport.
- Improved accuracy in assigning colors and types to light sources.
- Enhanced situational awareness for airport personnel.
Benefits:
- Increased safety and security at airports.
- Streamlined monitoring and management of light sources.
- Enhanced operational efficiency in airport environments.
Commercial Applications: Potential commercial applications include airport security systems, aviation management software, and surveillance technology for airport facilities.
Prior Art: Prior art related to this technology may include patents or research on image processing algorithms for object detection and color analysis in images.
Frequently Updated Research: Researchers may be exploring advancements in image processing techniques for more accurate and efficient identification of objects in complex environments like airports.
Questions about Light Source Identification: 1. How does the system determine the regions of interest for each light source? 2. What are the potential challenges in accurately assigning colors to light sources based on pre-defined relationships?
Original Abstract Submitted
Systems and methods are provided for identifying light sources at an airport. Light sources are detected in a vehicle camera image. A region of interest (ROI) is determined for each light source based on the location of the light source in the image. A distance and relative angle are determined between each light source and a vehicle camera location. A gray scale version of each ROI is generated based on pre-defined relationships between intensities of red, green, and blue colors in the image and gray color intensities. The gray scale version is compared with pre-defined color histograms to determine a color associated with each light source. Each histogram corresponds to a gray-scale equivalent of an associated color. Context data associated with the image is determined. A light source type is assigned to each of the light sources based on the color of the light source and the context data.
