公开(公告)号：US20250028019A1

公开(公告)日：2025-01-23

申请号：US18778206

申请日：2024-07-19

Applicant: Xtract One Technologies Inc.

Inventor： Jonah ATKINSON ,  Chris GRANSTROM ,  Gudni Karl ROSENKJAER ,  Jacky KAM ,  Gabriel Gilles ROBICHAUD ,  Elliot Mark HOLTHAM ,  Nathan COUTURE

IPC: G01S7/02 ,  G01S7/41 ,  G01S13/88

Abstract: A system and method of automated hardware verification and machine learning training using an automated object mover. The automated object mover consists of a ceiling or floor mounted rail. Two vertical poles are mounted on rails and can travel horizontally along the rails. Mechanical mechanisms are included such that the height and trajectory of the object as it passes through the gateway can be modified. Vertical poles are placed between the vertical columns and can travel through the gateway columns. Comparison of collected data from an automated data mover approach compared to a person walking through the gateway system approach produces data similar to an idealized object response for the object moving through the gateway at a constant speed and in zero environmental noise. Different types of collected data can be blended together to create a comprehensive machine learning dataset for training of robust alerting models for various objects.

公开(公告)号：US20240412512A1

公开(公告)日：2024-12-12

申请号：US18788054

申请日：2024-07-29

Applicant: Xtract One Technologies Inc.

Inventor： Justin Samuel GRANEK ,  Elliot Mark HOLTHAM

IPC: G06V20/40 ,  G06N3/045 ,  G06V20/52 ,  G06V40/10

Abstract: Aspects relate to systems and methods for the application of computer vision and sensor fusion to assist in the management and operation of a facility. For large facilities, many of the expenses and staffing requirements incurred such as energy, custodial duties, maintenance and security can scale with size rather than usage, and therefore be subject to gross inefficiencies. These challenges may arise from a lack of timely information available with which to make such optimizations and improvements. The approaches disclosed leverage recent advancements in computer vision technology to extract actionable information from raw sensor data collected through-out the facility. This information may be processed and applied in either an autonomous, semi-autonomous, or user driven approach to control and manage a number of processes occurring regularly within a facility, such as lighting, cleaning, and security.