Patent search ap:"PERCIPIENT.AI INC." Page 1

1.

发明申请
SYSTEMS AND METHODS FOR RAPID DEVELOPMENT OF OBJECT DETECTOR MODELS 有权

公开(公告)号：US20230023164A1

公开(公告)日：2023-01-26

申请号：US17938042

申请日：2022-10-04

Applicant: PERCIPIENT.AI INC.

Inventor： Vasudev PARAMESWARAN , Atul KANAUJIA , Simon CHEN , Jerome BERCLAZ , Ivan KOVTUN , Alison HIGUERA , Vidyadayini TALAPADY , Derek YOUNG , Balan AYYAR , Rajendra SHAH , Timo PYLVANAINEN

IPC: G06N3/04 , G06V10/72 , G06V10/774 , G06V10/82

Abstract: A computer vision system configured for detection and recognition of objects in video and still imagery in a live or historical setting uses a teacher-student object detector training approach to yield a merged student model capable of detecting all of the classes of objects any of the teacher models is trained to detect. Further, training is simplified by providing an iterative training process wherein a relatively small number of images is labeled manually as initial training data, after which an iterated model cooperates with a machine-assisted labeling process and an active learning process where detector model accuracy improves with each iteration, yielding improved computational efficiency. Further, synthetic data is generated by which an object of interest can be placed in a variety of setting sufficient to permit training of models. A user interface guides the operator in the construction of a custom model capable of detecting a new object.

2.

发明授权
Systems and methods for rapid development of object detector models 有权

公开(公告)号：US11636312B2

公开(公告)日：2023-04-25

申请号：US17938042

申请日：2022-10-04

Applicant: PERCIPIENT.AI INC.

Inventor： Vasudev Parameswaran , Atul Kanaujia , Simon Chen , Jerome Berclaz , Ivan Kovtun , Alison Higuera , Vidyadayini Talapady , Derek Young , Balan Ayyar , Rajendra Shah , Timo Pylvanainen

IPC: G06K9/00 , G06N3/045 , G06V10/82 , G06V10/774 , G06V10/72

Abstract: A computer vision system configured for detection and recognition of objects in video and still imagery in a live or historical setting uses a teacher-student object detector training approach to yield a merged student model capable of detecting all of the classes of objects any of the teacher models is trained to detect. Further, training is simplified by providing an iterative training process wherein a relatively small number of images is labeled manually as initial training data, after which an iterated model cooperates with a machine-assisted labeling process and an active learning process where detector model accuracy improves with each iteration, yielding improved computational efficiency. Further, synthetic data is generated by which an object of interest can be placed in a variety of setting sufficient to permit training of models. A user interface guides the operator in the construction of a custom model capable of detecting a new object.

3.

发明申请
IDENTIFICATION OF INDIVIDUALS IN A DIGITAL FILE USING MEDIA ANALYSIS TECHNIQUES 审中-公开

公开(公告)号：WO2019046820A1

公开(公告)日：2019-03-07

申请号：PCT/US2018/049264

申请日：2018-08-31

Applicant: PERCIPIENT.AI INC.

Inventor： AYYAR, Balan, Rama , BANGALORE, Anantha, Krishnan , BERCLAZ, Jermone, Francois , CHATTERJEE, Reechik , GUPTA, Nikhil, Kumar , PARAMESWARAN, Vasudev , PYLVAENAEINEN, Timo, Pekka , SHAH, Rajendra, Jayantilal , KOVTUN, Ivan

IPC: H04N7/18

Abstract: This description describes a system for identifying individuals within a digital file. The system accesses a digital file describing the movement of unidentified individuals and detects a face for an unidentified individual at a plurality of locations in the video. The system divides the digital file into a set of segments and detects a face of an unidentified individual by applying a detection algorithm to each segment. For each detected face, the system applies a recognition algorithm to extract feature vectors representative of the identity of the detected faces which are stored in computer memory. The system applies a recognition algorithm to query the extracted feature vectors for target individuals by matching unidentified individuals to target individuals, determining a confidence level describing the likelihood that the match is correct, and generating a report to be presented to a user of the system.

4.

发明公开
SYSTEMS FOR MULTICLASS OBJECT DETECTION AND ALERTING AND METHODS THEREFOR 审中-公开

公开(公告)号：US20240331375A1

公开(公告)日：2024-10-03

申请号：US17866389

申请日：2021-01-19

Applicant: PERCIPIENT.AI INC.

Inventor： Atul KANAUJIA , Ivan KOVTUN , Vasudev PARAMESWARAN , Timo PYLVAENAEINEN , Jerome BERCLAZ , Kunal KOTHARI , Alison HIGUERA , Winber XU , Rajendra SHAH , Balan AYYAR

IPC: G06V20/13 , G06T7/73 , G06V10/82

CPC classification number: G06V20/13 , G06T7/74 , G06V10/82 , G06V2201/08

Abstract: Systems, methods and techniques for detecting, identifying and classifying objects, including multiple classes of objects, from satellite or terrestrial imagery where the objects of interest may be of low resolution. Includes techniques, systems and methods for alerting a user to changes in the detected objects, together with a user interface that permits a user to rapidly understand the data presented while providing the ability to easily and quickly obtain more granular supporting data.

5.

发明申请
IDENTIFICATION OF INDIVIDUALS IN A DIGITAL FILE USING MEDIA ANALYSIS TECHNIQUES 审中-公开

公开(公告)号：US20190073520A1

公开(公告)日：2019-03-07

申请号：US16120128

申请日：2018-08-31

Applicant: Percipient.ai Inc.

Inventor： Balan Rama Ayyar , Anantha Krishnan Bangalore , Jerome Francois Berclaz , Reechik Chatterjee , Nikhil Kumar Gupta , Ivan Kovtun , Vasudev Parameswaran , Timo Pekka Pylvaenaeinen , Rajendra Jayantilal Shah

IPC: G06K9/00 , G06K9/42 , G06F17/30

Abstract: This description describes a system for identifying individuals within a digital file. The system accesses a digital file describing the movement of unidentified individuals and detects a face for an unidentified individual at a plurality of locations in the video. The system divides the digital file into a set of segments and detects a face of an unidentified individual by applying a detection algorithm to each segment. For each detected face, the system applies a recognition algorithm to extract feature vectors representative of the identity of the detected faces which are stored in computer memory. The system applies a recognition algorithm to query the extracted feature vectors for target individuals by matching unidentified individuals to target individuals, determining a confidence level describing the likelihood that the match is correct, and generating a report to be presented to a user of the system.

6.

发明申请
SYSTEMS AND METHODS FOR IDENTIFYING AN OBJECT OF INTEREST FROM A VIDEO SEQUENCE 审中-公开

公开(公告)号：WO2021146703A1

公开(公告)日：2021-07-22

申请号：PCT/US2021/013940

申请日：2021-01-19

Applicant: PERCIPIENT.AI INC.

Inventor： PYLVAENAEINEN, Timo , SENNABAUM, Craig , HIGUERA, Mike , KOVTUN, Ivan , HIGUERA, Alison , KANAUJIA, Atul , BERCLAZ, Jerome , PARAMESWARAN, Vasudev , SHAH, Rajendra, J. , AYYAR, Balan

IPC: G06K9/62 , G06K9/42 , H04N5/225 , G06T7/00

Abstract: A multisensor processing platform includes, in at least some embodiments, a face detector and embedding network for analyzing unstructured data to detect, identify and track any combination of objects (including people) or activities through computer vision algorithms and machine learning. In some embodiments, the unstructured data is compressed by identifying the appearance of an object across a series of frames of the data, aggregating those appearances and effectively summarizing those appearances of the object by a single representative image displayed to a user for each set of aggregated appearances to enable the user to assess the summarized data substantially at a glance. The data can be filtered into tracklets, groups and clusters, based on system confidence in the identification of the object or activity, to provide multiple levels of granularity.

7.

发明申请
SYSTEMS FOR MULTICLASS OBJECT DETECTION AND ALERTING AND METHODS THEREFOR 审中-公开

公开(公告)号：WO2021146700A1

公开(公告)日：2021-07-22

申请号：PCT/US2021/013932

申请日：2021-01-19

Applicant: PERCIPIENT.AI INC.

Inventor： KANAUJIA, Atul , KOVTUN, Ivan , PARAMESWARAN, Vasudev , PYLVAENAEINEN, Timo , BERCLAZ, Jerome , KOTHARI, Kunal , HIGUERA, Alison , XU, Winber , SHAH, Rajendra , AYYAR, Balan

IPC: G06N20/00 , G06K9/00

Abstract: Systems, methods and techniques for detecting, identifying and classifying objects, including multiple classes of objects, from satellite or terrestrial imagery where the objects of interest may be of low resolution. Includes techniques, systems and methods for alerting a user to changes in the detected objects, together with a user interface that permits a user to rapidly understand the data presented while providing the ability to easily and quickly obtain more granular supporting data.