公开(公告)号：US20240051390A1

公开(公告)日：2024-02-15

申请号：US17819314

申请日：2022-08-12

Applicant: Reby Inc.

Inventor： Akash Kadechkar ,  Elisabet Bayo Puxan ,  Julio Gonzalez Lopez ,  Xiaolei Song ,  Ricard Comas Xanco ,  Eugeni Llagostera Saltor

IPC: B60K28/06 ,  G06V40/16 ,  G10L25/66

CPC classification number: B60K28/06 ,  G06V40/16 ,  G10L25/66

Abstract: A system and method for detecting rider impairment based on image or audio input is implemented in a rental fleet of lightweight vehicles. The system comprises a mobile device, a backend server, and one or more lightweight vehicles. Access to fleet vehicles is controlled by the mobile application based on results of data collected about the prospective driver.

公开(公告)号：US20240054762A1

公开(公告)日：2024-02-15

申请号：US17819312

申请日：2022-08-12

Applicant: Reby Inc.

Inventor： Julio Gonzalez Lopez ,  Elisabet Bayo Puxan ,  Akash Kadechkar ,  Xiaolei Song ,  Ricard Comas Xanco ,  Eugeni Llagostera Saltor

IPC: G06V10/764 ,  G06V10/774 ,  G06V10/75 ,  B62J11/24

CPC classification number: G06V10/764 ,  G06V10/774 ,  G06V10/759 ,  B62J11/24 ,  B62K3/002

Abstract: An image classification system and method are used to determine the status of equipment completeness of the rental two-wheeled vehicles, such as electric scooters. The system and method use deep learning models to analyze and classify ambiguous states of the rental vehicle when the user finishes the ride. These states are likely to be encountered by rental vehicles, to protect helmets, trunks or other equipment from loss or damage.

公开(公告)号：US20240054795A1

公开(公告)日：2024-02-15

申请号：US17819311

申请日：2022-08-12

Applicant: Reby Inc.

Inventor： Elizabet Bayo Puxan ,  Eugeni Llagostera Saltor ,  Xiaolei Song ,  Akash Kadechkar ,  Ricard Comas Xanco ,  Julio Gonzalez Lopez

IPC: G06V20/62 ,  G06V30/19 ,  G06V30/12 ,  G06V30/146 ,  G06V30/14 ,  G06K7/14 ,  G06K7/10

CPC classification number: G06V20/625 ,  G06V30/19013 ,  G06V30/12 ,  G06V30/1473 ,  G06V30/1444 ,  G06K7/1417 ,  G06K7/10712 ,  G06V2201/08

Abstract: The present disclosure relates to a system and method for automatic vehicle recognition, based on a smart device. The system mainly includes an image capturing device integrated in the smart device, a data storage to store the images captured by the image capturing device and known identity aspects related to a vehicle allotted to a user, and a License plate processing and matching (LPPM) component to perform recognition process. LPPM component includes an identity aspect detector to detect a portion representing the identity aspect, an image processor to enhance the portion and perform Optical Characters Recognition (OCR) to extract character strings from the portion. The character string is compared against a character string of the known identity aspect to verify the vehicle.

公开(公告)号：US20240054554A1

公开(公告)日：2024-02-15

申请号：US17819316

申请日：2022-08-12

Applicant: Reby Inc.

Inventor： Ricard Comas Xanco ,  Elisabet Bayo Puxan ,  Julio Gonzalez Lopez ,  Akash Kadechkar ,  Xiaolei Song ,  Eugeni Llagostera Saltor

IPC: G06Q30/06 ,  G08B21/18 ,  B62J45/41

CPC classification number: G06Q30/0645 ,  G08B21/18 ,  B62J45/41

Abstract: A system and method for rider profiling for lightweight vehicles is disclosed herein. The system comprises a lightweight vehicle actuating unit. Load-cells are configured on a deck of the lightweight vehicle for sensing and measuring load acting thereupon for generating a measurement signal. A pressure-pattern collection unit receives the measurement signal to identify and process a load pattern acting on the deck to generate a pressure-pattern signal. A learning model receives the pressure-pattern signal for processing to obtain information associated with a pose of the rider. A riding control is coupled to a riding control database and configured to unit receive the information associated with the pose from the learning model for determining at least one instance of rule violation and computing a decision based on the at least one instance of rule violation.

公开(公告)号：US20240053745A1

公开(公告)日：2024-02-15

申请号：US17819315

申请日：2022-08-12

Applicant: Reby Inc.

Inventor： Akash Kadechkar ,  Elisabet Bayo Puxan ,  Julio Gonzalez Lopez ,  Xiaolei Song ,  Richard Comas Xanco ,  Eugeni Llagostera Saltor

IPC: G05D1/00 ,  G06F1/16 ,  G05D1/02 ,  A42B3/30

CPC classification number: G05D1/0038 ,  G06F1/163 ,  G05D1/021 ,  G05D1/0016 ,  A42B3/30

Abstract: An XR helmet collects user data and environmental data using onboard sensors. The collected data is used to train a model for predicting safe rides in a rental fleet of lightweight vehicles. The XR helmet is configured to selectively take control of the lightweight vehicle when driver biofeedback or environmental data are predictive of unsafe driving conditions. Access and control of fleet vehicles is controlled by a predictive machine learning model trained by data indicative of safe and unsafe driving conditions.