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US 2022/0092818 A1Published application
Smart Self Calibrating Camera System
AssigneeAiFi Corp
InventorsYing Zheng, Hector Sanchez, Steve Gu, Staurt Kyle Neubarth, Mahmoud Hassan, Juan Ramon Terven
Life of this patent
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Abstract
The present invention describes a system for calibrating a plurality of cameras in an area. The system functions by using certain patterns with visible or invisible properties In addition, the system implements automatic re-calibration in a specific way to reduce human intervention, cost and time.
Claims19
A method for calibrating a plurality of cameras in an area, comprising:
- Synchronizing system time for the plurality of cameras;
- Detecting at least one feature points of an object that is within range of the plurality of cameras, wherein the at least one feature points are setup in a pre-determined fashion, wherein the at least one feature points are configured within range of the plurality of cameras, wherein the at least one feature points are configured to be detected by color or infrared means, wherein any point of the at least one feature points are encoded with location information of the at least one feature points, wherein the location information of the at least one feature points are decoded and recorded during a duration of time, wherein the at least one feature points are encoded with color, infrared and depth information;
- Calibrating the plurality of cameras by using the location information of the at least one feature points during a duration of time;
- Capturing a first set of one or more images of the feature points by a first one of the plurality of cameras and a second set of one or more images of the feature points by a second one of the plurality of cameras;
- Calibrating the first one of the plurality of cameras and the second one of the plurality of cameras by matching same feature points between the first set of one or more images of the object and the second set of one ore more images, wherein the color and depth information is used for the matching of the same feature points, wherein the first one of the plurality of cameras and the second of the plurality of cameras are configured to pan, tilt and zoom;
- and
- Implements a self-healing scheme to recalibrate after camera position changes, change of focus and camera upgrades, wherein people-based calibration is activated during the recalibrating.
4 more elements
A method for calibrating a plurality of cameras in an area, comprising:
- Detecting feature points of a person, wherein the feature points are specific body area of the person, wherein the feature points are within range of the plurality of cameras, wherein dimensions of the specific body area of the person are measured and recorded;
- Capturing a first set of one or more images of the feature points by a first one of the plurality of cameras and a second set of one or more images of the feature points by a second one of the plurality of cameras;
- and
- Calibrating the first one of the plurality of cameras and the second one of the plurality of cameras by matching same feature points between the first set of one or more images of the object and the second set of one or more images.
1 more element
A method for calibrating a plurality of cameras in an area, comprising:
- Detecting patterns in the area, wherein location of the patterns are pre-determined, wherein shape of the patterns are pre-determined, wherein color of the patterns are pre-determined, wherein the patterns are configured to contain encoded coordinate information, wherein the patterns are configured to be detected by optical or infrared means;
- Capturing a first set of one or more images of the patterns by a first one of the plurality of cameras and a second set of one or more images of the patterns by a second one of the plurality of cameras;
- Decoding the encoded coordinate information;
- and
- Calibrating the first one of the plurality of cameras and the second one of the plurality of cameras by matching same pattern between the first set of one or more images of the object and the second set of one or more images and utilizing the encoded coordinate information that was decoded.
2 more elements
Dependencies are inferred from the claim text.