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公开(公告)号：US11288822B2
公开(公告)日：2022-03-29
申请号：US16827468
申请日：2020-03-23
Inventor： Xibeijia Guan , Chandra Suwandi Wijaya , Vasileios Vonikakis , Ariel Beck
Abstract: The present subject matter refers a method for training image-alignment procedures in a computing environment. The method comprises communicating one or more images of an object to a user and receiving a plurality of user-selected zones within said one or more through a user-interface. An augmented data-set is generated based on said one or more images comprising the user-selected zones, wherein such augmented data set comprises a plurality of additional images defining variants of said one or more communicated images. Thereafter, a machine-learning based image alignment is trained based on at-least one of the augmented data set and the communicated images.
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公开(公告)号：US11188212B2
公开(公告)日：2021-11-30
申请号：US16824467
申请日：2020-03-19
Inventor： Vasileios Vonikakis , Yao Zhou , Chandra Suwandi Wijaya , Ariel Beck
IPC: G06F3/00 , G06F3/0484 , G06T7/00 , G06F3/01
Abstract: A method implemented in a computing-device with a display screen for image inspection. The method comprises displaying a distribution of a quality-indicia of at least one object in each of a plurality of images to be inspected, within a first area of the display screen. Within a second area of the display screen, a user-control is displayed to adjust a threshold-value with respect to an acceptance of at least one object in said plurality of images to be inspected. The threshold-value may be determined manually or automatically. A change in or update of threshold value is determined based on a user-operation performed over the user-control for adjusting the threshold value. Thereafter, a quality-indicia of at least one object in each the plurality of images is determined. Acceptable objects in respect of an image inspection procedure based on the updated threshold value and the determined quality-indicia are indicated.
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公开(公告)号：US10762356B2
公开(公告)日：2020-09-01
申请号：US15984963
申请日：2018-05-21
Inventor： Ariel Beck , Khai Jun Kek , Vasileios Vonikakis , Chandra Suwandi Wijaya
Abstract: There is provided a computer-implemented method for generating an output with respect to a group of individuals. The method includes: identifying the group of individuals amongst a plurality of individuals in an area being monitored by one or more sensors; determining, for each individual in the group of individuals, one or more individual-based features associated with the individual based on sensing data obtained from the one or more sensors; determining a group characteristic information associated with the group of individuals based on the one or more individual-based features determined for each individual in the group; and generating the output based on the group characteristic information determined for the group of individuals. There is also provide a corresponding system for generating an output with respect to a group of individuals.
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14.发明授权公开(公告)号：US10357195B2
公开(公告)日：2019-07-23
申请号：US15666017
申请日：2017-08-01
Inventor： Ariel Beck , Khai Jun Kek
IPC: A61B5/18 , B60W40/08 , A61B5/16 , A61B5/024 , A61B5/1172 , A61B5/1171 , A61B5/00
Abstract: A system and method for monitoring the condition of the driver of a vehicle including both the level of distraction being experienced by him/her as well his/her cardiac health are described. The system can detect and predict behavioral and cognitive distraction in real time. It can also monitor a driver's physical condition, detect and predict health events such as a myocardial infarction. The system can fuse inputs from various sensors and components including vehicle information (through CAN networks or other), IR camera, heart rate sensors, eye tracking and pupillometry technology. The distraction detection and health monitoring can be done in separate modules. Fusion algorithms can detect and predict risk related to the driver's lack of attention and the likelihood that he/she is or will experience a cardiac event.
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