Activity Calculation via Regional Person Proportion Detection
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Solution Overview
Problem
Existing methods for calculating the activity of individuals in a space, such as for air conditioning control, face difficulties in tracking individuals, especially in crowded areas or when sensor accuracy is low, making it challenging to detect and measure activity accurately.
Innovation Solution
An information processing apparatus and method that detects the proportion of individuals in predetermined regions within a space using camera images and calculates activity based on particle movement predictions, allowing for accurate activity measurement without individual tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual tracking is performed to calculate activity, then activity measurement accuracy is improved, but detection difficulty increases in crowded areas or when sensor accuracy is low
Solution Approach 1:
The space is divided into multiple predetermined regions, and the proportion of persons is detected for each region independently. This segmentation allows activity calculation without tracking individual persons across the entire space, resolving the contradiction by making detection feasible in crowded areas while maintaining activity measurement capability through aggregated regional data.
2Measurement precision
If individual tracking is performed to calculate activity, then activity measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The space is divided into multiple predetermined regions, and the proportion of persons is detected for each region independently. This segmentation allows activity calculation without tracking individual persons across the entire space, resolving the contradiction by making detection feasible in crowded areas while maintaining activity measurement capability through aggregated regional data.
3Ease of manufacture
If sensor accuracy is low, then device cost is reduced, but individual detection reliability deteriorates
Solution Approach 1:
Multiple low-accuracy sensors detecting person proportions in different regions are merged to calculate overall activity. The combining of regional proportion data compensates for individual sensor inaccuracies, allowing the use of cheaper sensors while maintaining reliable activity measurement through aggregated information.
Data Source
AI summary
An information processing apparatus according to the present invention includes: a detecting unit configured to detect a proportion of an existing person for each predetermined region; and a calculating unit configured to, on a basis of the proportion of the person in each predetermined region, calculate a value based on an amount of activity of the person.


