17955911. End User Selectable/Variable Object Detect Illumination simplified abstract (ZEBRA TECHNOLOGIES CORPORATION)
Contents
- 1 End User Selectable/Variable Object Detect Illumination
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 End User Selectable/Variable Object Detect Illumination - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
End User Selectable/Variable Object Detect Illumination
Organization Name
ZEBRA TECHNOLOGIES CORPORATION
Inventor(s)
Gennaro Squillante of Centereach NY (US)
Mark D. Anderson of Dix Hills NY (US)
Michael P. Steele of Wantagh NY (US)
Edward Barkan of Miller Place NY (US)
End User Selectable/Variable Object Detect Illumination - A simplified explanation of the abstract
This abstract first appeared for US patent application 17955911 titled 'End User Selectable/Variable Object Detect Illumination
Simplified Explanation
The patent application describes systems and methods for calibrating an adaptive illumination system of an imager. The method involves entering a calibration mode, providing a calibration illumination level, capturing images of the environment, determining a first illumination intensity for object detection mode, storing the intensity in memory, and configuring the illumination source accordingly.
- Explanation of the patent/innovation:
- Entering calibration mode to set illumination levels
- Capturing images of the environment
- Determining optimal illumination intensity for object detection mode
- Storing intensity in memory for future use
- Configuring illumination source based on the determined intensity
Potential Applications
The technology can be applied in various fields such as surveillance systems, autonomous vehicles, robotics, and security systems.
Problems Solved
This technology solves the problem of optimizing illumination levels for object detection in different environments, ensuring accurate and efficient detection.
Benefits
The benefits of this technology include improved object detection accuracy, reduced false alarms, energy efficiency, and adaptability to changing environmental conditions.
Potential Commercial Applications
Potential commercial applications of this technology include security cameras, traffic monitoring systems, industrial automation, and smart home devices.
Possible Prior Art
One possible prior art for this technology could be related to adaptive lighting systems in surveillance cameras or motion sensor lights that adjust brightness based on ambient light levels.
What are the potential safety implications of using this technology?
Using this technology can enhance safety in various applications such as surveillance, autonomous vehicles, and industrial automation by improving object detection and reducing the risk of accidents.
How does this technology compare to existing calibration methods for illumination systems?
This technology offers a more efficient and adaptive approach to calibrating illumination systems by dynamically adjusting illumination levels based on the specific requirements of object detection mode, leading to improved performance and accuracy.
Original Abstract Submitted
Systems and methods for calibrating an adaptive illumination system of an imager are presented. An example method includes causing the system to enter a calibration mode and providing a calibration illumination level from an illumination source to an environment. An imager captures one or more images of the environment. A processor determines, from the one or more images, a first illumination intensity to provide during an object detect mode operation of the system. The first illumination intensity has an illumination sufficient for detecting a presence of an object in the environment during the object detect mode. The processor stores the first illumination intensity in a memory, and configures the illumination source to provide illumination at the first illumination intensity while the adaptive illumination system is in the object detect mode, and (ii) provide illumination at a second illumination intensity while the adaptive illumination system is in a scanning mode.
