Video Analytics Engine for Retail Activity Inference

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Conventional methods for monitoring retail business processes are inefficient and costly, requiring substantial human resources to analyze video data from CCTV cameras across multiple locations, making it impractical to monitor all desirable areas simultaneously.

Innovation Solution

An automated video surveillance system employing a video analytics engine to process video data, generate video primitives, and an activity inference engine to determine predefined activities of interest, reducing the need for manual observation and enabling real-time or offline analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If manual observation and analysis of video data from CCTV cameras is used, then business intelligence data can be extracted, but substantial human resources and expenses are required

Engineering Contradiction:
Improvebusiness intelligence data extractionVSAvoidhuman resources requirement
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent replaces the mechanical system of manual human observation and analysis with an automated video analytics system comprising video processing modules, pattern recognition algorithms, and data analysis software. This substitution eliminates the need for substantial human resources while maintaining the ability to extract business intelligence data from video feeds.

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

Solution Approach 2:

The video analytics system performs self-service by automatically processing video data, detecting patterns, generating insights, and producing reports without requiring human intervention. The system autonomously executes the complete workflow from video acquisition to intelligence extraction, reducing operational complexity and costs.

Inventive Principle:
Principle #25Self-service

2Area of stationary object

If CCTV cameras are placed in all desirable locations, then comprehensive monitoring coverage is achieved, but monitoring all video requires substantial human resources

Engineering Contradiction:
Improvemonitoring coverage areaVSAvoidmonitoring efficiency
Core Design Contradiction:
Area of stationary objectVSProductivity

Solution Approach 1:

The patent replaces manual monitoring with automated video analytics technology that can simultaneously process multiple video streams from numerous cameras across all desirable locations. This enables comprehensive coverage without proportionally increasing human resources, as the automated system handles multiple feeds concurrently.

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

Solution Approach 2:

The video analytics system provides multi-functional capabilities by simultaneously performing multiple tasks across all camera locations including motion detection, pattern recognition, event classification, and data extraction. This universal system handles diverse monitoring requirements across the entire facility through a single integrated platform.

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Loss of information

If remote human observers monitor video from multiple locations, then business process monitoring is performed, but costs and time consumption increase substantially

Engineering Contradiction:
Improvebusiness process monitoring capabilityVSAvoidanalysis time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent replaces remote human observers with automated video analytics processing that continuously analyzes video streams in real-time or near real-time. This substitution dramatically reduces analysis time while maintaining comprehensive business process monitoring capability across multiple locations simultaneously.

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

Solution Approach 2:

The video analytics system operates continuously without interruption, processing video data from all locations constantly. This continuous automated operation eliminates the time consumption associated with manual monitoring schedules, breaks, and human fatigue, providing uninterrupted business process monitoring.

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS9158975B2Video analytics for retail business process monitoring
Publication Date: 2015.10.13 MOTOROLA SOLUTIONS INC
  • US9158975B2 patent drawing
  • US9158975B2 patent drawing
  • US9158975B2 patent drawing

AI summary

A system for video monitoring a retail business process includes a video analytics engine to process video obtained by a video camera and generate video primitives regarding the video, A user interface is used to define at least one activity of interest regarding an area being viewed, each activity of interest identifying at least one of a rule or a query regarding the area being viewed. An activity inference engine processes the generated video primitives based on each defined activity of interest to determine if an activity of interest occurred in the video.