Computer Vision Occupant Tracking for Physical Distancing Compliance
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Solution Overview
Problem
There is currently no system for real-time monitoring of physical distancing in building and other spaces, which is essential for preventing the spread of contagious diseases and optimizing space utilization.
Innovation Solution
A system utilizing computer vision algorithms and processors to analyze images from cameras, track occupant locations, and generate alarms when physical distancing rules are not followed, creating a map of occupant interactions to monitor compliance in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual monitoring of physical distancing is implemented, then compliance can be assessed, but labor costs and time consumption increase significantly
Solution Approach 1:
The patent replaces manual mechanical monitoring with an automated computer vision system using cameras and image processing algorithms. The system automatically detects occupant locations, calculates distances, and assesses compliance with physical distancing rules, eliminating the need for human monitors while maintaining or improving measurement precision.
Solution Approach 2:
The patent introduces an intermediary automated system that acts as a mediator between occupants and compliance assessment. The computer vision system processes visual data and generates compliance information, serving as an intermediary that eliminates direct human-to-human monitoring while providing continuous automated assessment.
2Productivity
If real-time monitoring system is deployed, then immediate feedback on compliance is provided, but system complexity and initial costs increase
Solution Approach 1:
The patent creates a multi-functional system that performs multiple tasks: capturing images, detecting occupant locations, calculating distances, assessing compliance, and providing feedback. This universal system consolidates what would otherwise require multiple separate systems into a single integrated solution, managing complexity while enhancing productivity.
Solution Approach 2:
The system is designed to be self-sufficient, automatically performing all monitoring and assessment functions without requiring external intervention. The computer vision system processes data and generates compliance assessments autonomously, reducing the need for complex external monitoring infrastructure.
3Loss of information
If continuous monitoring of all occupants is performed, then complete interaction data is captured, but energy consumption and processing load increase
Solution Approach 1:
The patent implements selective monitoring that focuses processing resources on relevant interactions and locations. Rather than uniformly processing all occupant data at maximum detail, the system applies monitoring intensity proportional to the significance of each interaction, capturing complete necessary data while optimizing energy consumption through differentiated processing levels.
Data Source
AI summary
Determining occupants' interactions in a space by applying a computer vision algorithm to track an occupant in a set of images of a space to obtain locations in the space of the occupant over time, where a history log of the occupant includes the locations of the occupant in the space over time is created and history logs of a plurality of occupants are compared to extract interaction points between the plurality of occupants.