Abstract: For a given pair of biological parents and a possible child, the present system(s), method(s), and/or software estimate whether the child is indeed a biological child of the biological parents. Using a face recognition engine to determine embeddings from facial images, genetic similarity expressed in facial features is used to estimate kinship. Knowing that a child carries 50% of the genes from each parent, for example, and using facial features from both parents, chances for the present system(s), method(s), and or software to determine a correct match are increased considerably compared to prior systems.

Abstract: The present disclosure relates generally to determining confidence scores for facial image based family relation (e.g., kinship) determinations. A confidence score of a previously unseen facial image (of an unknown individual) search result is determined without knowing the search result's ground truth, based on previously conducted tests of a dataset with a known ground truth, and using prediction results to infer the confidence of the previously unseen example.

Abstract: The present disclosure relates generally to identifying subjects based on correlated family relation (e.g., kinship) characteristics. Using the present techniques, a facial photo of a subject, suspected to be a grown-up missing child, or any other person who may or may not have undergone changes in their appearance, is presented. Regular facial recognition systems cannot find the subject because the photo is not in any database (and because only family member photos may be in the database, and/or the photo may be a past photo of the subject in which the subject looks significantly different). With change-agnostic family matching, the facial photo of the subject is matched with the closest family signature(s), such that a relevant family or families may be identified. Possible family matches are presented in descending order where the closest families are presented first.

Abstract: Systems and methods for securing content using unidirectional encryption. A method includes obtaining a first transformed array created by applying a transformation process to an inference array, wherein the inference array is a reduced representation of media content created by embedding the media content, wherein the first transformed array preserves a dot product result of the inference array, wherein the transformation process is a unidirectional process such that attempting to reconstruct the media content using the first transformed array will result in different media content; determining a dot product result between the first transformed array and a second transformed array created using the transformation process; checking conditions using the dot product result between the first transformed array and the second transformed array; and determining a relationship between the first transformed array and the second transformed array based on the checking of the conditions.

Abstract: The present disclosure relates generally to determining confidence scores for facial image based family relation (e.g., kinship) determinations. A confidence score of a previously unseen facial image (of an unknown individual) search result is determined without knowing the search result's ground truth, based on previously conducted tests of a dataset with a known ground truth, and using prediction results to infer the confidence of the previously unseen example.

Abstract: A system for computer-aided triage includes and/or interfaces with a computing system. A method for computer-aided triage includes receiving a data packet including a set of images; and processing the set of images to determine a suspected condition and/or associated features. Additionally or alternatively, the method can include any or all of: preprocessing the set of images; triggering an action based on the suspected condition and/or associated features; determining a recipient based on the suspected condition; preparing a data packet for transfer; transmitting information to a device associated with the recipient; receiving an input from the recipient and triggering an action based on the input; aggregating data; and/or any other suitable processes.

Abstract: Systems and methods for securing content using unidirectional encryption. A method includes obtaining a first transformed array created by applying a transformation process to an inference array, wherein the inference array is a reduced representation of media content created by embedding the media content, wherein the first transformed array preserves a dot product result of the inference array, wherein the transformation process is a unidirectional process such that attempting to reconstruct the media content using the first transformed array will result in different media content; determining a dot product result between the first transformed array and a second transformed array created using the transformation process; checking conditions using the dot product result between the first transformed array and the second transformed array; and determining a relationship between the first transformed array and the second transformed array based on the checking of the conditions.

Abstract: A system for computer-aided triage includes and/or interfaces with a computing system. A method for computer-aided triage includes receiving a data packet including a set of images; and processing the set of images to determine a suspected condition and/or associated features. Additionally or alternatively, the method can include any or all of: preprocessing the set of images; triggering an action based on the suspected condition and/or associated features; determining a recipient based on the suspected condition; preparing a data packet for transfer; transmitting information to a device associated with the recipient; receiving an input from the recipient and triggering an action based on the input; aggregating data; and/or any other suitable processes.

Abstract: A system for computer-aided triage includes and/or interfaces with a computing system. A method for computer-aided triage includes receiving a data packet including a set of images; and processing the set of images to determine a suspected condition and/or associated features. Additionally or alternatively, the method can include any or all of: preprocessing the set of images; triggering an action based on the suspected condition and/or associated features; determining a recipient based on the suspected condition; preparing a data packet for transfer; transmitting information to a device associated with the recipient; receiving an input from the recipient and triggering an action based on the input; aggregating data; and/or any other suitable processes.

Abstract: A system for computer-aided triage includes and/or interfaces with a computing system. A method for computer-aided triage includes receiving a data packet including a set of images; and processing the set of images to determine a suspected condition and/or associated features. Additionally or alternatively, the method can include any or all of: preprocessing the set of images; triggering an action based on the suspected condition and/or associated features; determining a recipient based on the suspected condition; preparing a data packet for transfer; transmitting information to a device associated with the recipient; receiving an input from the recipient and triggering an action based on the input; aggregating data; and/or any other suitable processes.

Abstract: A system for computer-aided triage includes and/or interfaces with a computing system. A method for computer-aided triage includes receiving a data packet including a set of images; and processing the set of images to determine a suspected condition and/or associated features. Additionally or alternatively, the method can include any or all of: preprocessing the set of images; triggering an action based on the suspected condition and/or associated features; determining a recipient based on the suspected condition; preparing a data packet for transfer; transmitting information to a device associated with the recipient; receiving an input from the recipient and triggering an action based on the input; aggregating data; and/or any other suitable processes.