公开(公告)号：US20250140101A1

公开(公告)日：2025-05-01

申请号：US19007100

申请日：2024-12-31

Applicant: RAPIDSOS, INC.

Inventor： Conor Fucci ,  James Patrick Olejar, JR. ,  Zachery LaValley ,  Patricia Ann Beesley ,  Lillian Nguyen ,  Leah Lewy ,  Indranil Chatterjee ,  Henry Katz ,  Zvika Ferentz ,  Jeffrey Sternberg ,  Nicholas Edward Horelik ,  William Thomas Guthrie

IPC: G08B25/00 ,  G06F3/0482 ,  G06F3/0486 ,  G06F9/54 ,  G08B25/01 ,  G08B25/08 ,  G08B27/00

Abstract: Described herein are systems, devices, methods, and media for an emergency response data exchange system. The system provides an operations center emergency management application with a textual and/or graphical notification of emergency communications initiated on a premises managed by the operations center. The system exchanges operations center data (e.g., floorplans, video feeds, point of contact information, building access controls) with an emergency communications center (ECC) and/or with a first responder device to facilitate reducing emergency response times. The system selectively establishes communications (e.g., messaging windows) between the operations center, ECC, and/or first responder device to facilitate real-time information sharing between relevant parties of an emergency.

公开(公告)号：US20250115283A1

公开(公告)日：2025-04-10

申请号：US18759647

申请日：2024-06-28

Applicant: RAPIDSOS, INC.

Inventor： Zachery LaValley ,  Daniel Richard Seidberg ,  Conor Fucci

IPC: B61L23/30

Abstract: A railroad crossing blockage detection and notification system gathers emergency call data and/or infrastructure sensor data and uses the data to generate a blockage score that is representative of a likelihood of a railroad blockage at a railroad crossing. The system may include and use a machine learning model to generate the blockage score. Using historical train collision data, the machine learning model may be trained on emergency call data and/or on infrastructure sensor data available in proximity to railroad crossing. The system may receive current emergency call data and/or infrastructure sensor data, may apply the data to the machine learning model to generate a likelihood of a blockage, and may notify emergency communication centers (ECCs), network operations centers (NOCs), emergency responders, and/or train systems of the potential blockage. In response to a potential blockage, a train may be slowed down or stopped to reduce the likelihood of a collision.