Fiducial Marker Camera Location Mapping in Video Management Systems

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Solution Overview

Problem

Inconsistent naming conventions for camera locations across different store locations in video management systems (VMS) hinder the ability to quickly identify camera positions and select desired views, particularly in large retail environments, leading to inefficiencies in security monitoring and inventory management.

Innovation Solution

A system utilizing fiducial markers with unique indicia, a central computer, and a database to map camera locations and display desired views, where cameras capture images of fiducial markers, and the central computer processes these images to determine marker identities, retrieve associated location and product information, and update the database for accurate location mapping and view selection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual naming conventions are used to identify camera locations, then the system is simple to implement, but the ability to quickly identify camera positions and select desired views deteriorates

Engineering Contradiction:
Improveability to quickly identify camera positionVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The patent introduces fiducial markers as intermediary objects placed at known locations within the field of view of each camera. These markers serve as mediators between the camera and the VMS, enabling automatic identification of camera position through image recognition of the markers' unique indicia, thereby resolving the contradiction between operational ease and system complexity

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces manual naming conventions (mechanical/systematic approach) with an automated image recognition system using fiducial markers. The system uses computer vision to detect marker indicia and automatically map camera locations, substituting manual processes with automated optical recognition to improve identification speed while managing complexity through standardized marker protocols

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If automated image processing is used to identify fiducial markers, then location mapping precision is improved, but processing time and computational resources increase

Engineering Contradiction:
Improvelocation mapping precisionVSAvoidprocessing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-placing fiducial markers with known unique indicia at predetermined locations within each camera's field of view before the mapping process begins. This preparation enables the system to quickly identify camera positions through straightforward marker recognition rather than complex analysis, achieving high precision while minimizing processing time

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses visual characteristics of fiducial markers (indicia patterns, colors, or geometric features) that are easily distinguishable by image processing algorithms. The markers' distinct visual properties enable rapid and accurate identification through simple image recognition techniques, balancing precision requirements with processing efficiency

Inventive Principle:
Principle #32Color changes

Data Source

PatentUS11277574B1Methods and systems for mapping camera location and selecting a desired view in a video management system
Publication Date: 2022.03.15 SUNRISE R&D HOLDINGS LLC
  • US11277574B1 patent drawing
  • US11277574B1 patent drawing
  • US11277574B1 patent drawing

AI summary

Methods and systems for mapping camera location and selecting a desired view in a video management system make use of images showing fiducial markers to identify camera location and desired camera views. In one implementation, a central computer receives an image obtained by a camera showing a fiducial marker with indicia. The image is processed to determine the identity of the fiducial marker. Location information associated with the identity is retrieved from a database and used to identify the location of the camera. In another implementation, images of fiducial markers obtained by a plurality of cameras are used to select a subset of fiducial markers identified as being present at a desired location. Based on that subset of fiducial markers, each of the cameras being present at that desired location are then identified.