College of Business Management Conducted a demonstration experiment on learning space evaluation using AI cameras and other devices at University Higashi-Osaka Campus
Main content
Our university College of Business Management and NTT Urban Solutions Research Institute (Chiyoda-ku, Tokyo; President: Shinichiro Ueno; hereinafter, US Research Institute) are conducting a demonstration experiment at Kindai University's Higashi-Osaka Campus using AI cameras and other equipment. In this experiment, we will measure factors such as smile levels, human pathways, and congestion, and verify methods for evaluating spaces within campus.
Implementation Overview
■ Background of the Initiative
This initiative is part of a program in a donated course between our university and US Research Institute, based on a demonstration experiment conducted at the NTT Pavilion at last year's Osaka-Kansai Expo, and is carried out by four companies with the cooperation of Kindai University Educational Corporation and NTT Facilities, Inc.
■ Purpose of Establishment
We will examine spatial evaluation methods based on the data collected from multiple areas within the University Higashi-Osaka Campus.
■ Analysis Method (1)※1
[Acquisition] From images captured by the AI camera, it instantly estimates age, gender, smile level, and dwell time, converting them into data. (Image data is not saved.)
[Processing] Statistical processing is applied to the acquired data.
[Analysis] Analyze spatial usage by visual estimates combined with data from time-lapse cameras.
■ Analysis Method (2)※2
[Acquisition] Using still image data taken with a time-lapse camera, we collect data such as people's movement trajectories and dwell time.
[Processing] Interprets the acquired data and processes it into spatial visual representations that do not identify individuals.
[Analysis] Analyze by combining data such as AI camera data and visual estimates of how spaces are used.
■ Filming Period※2
Scheduled for November 16, 2026, 10:00~17:00.
■ Number of cameras and installation locations (shooting area)
One AI camera / Three time-lapse cameras on Kindai University campus (total of 5 locations)
The analysis results of this demonstration will be verified at our university and US Research Institute, and will be shared with Kindai University Educational Corporation and NTT Facilities, Inc. In this demonstration, we will establish and properly operate policies regarding compliance with laws and regulations concerning the protection of personal information. We also establish basic policies regarding information security. For details, please refer to the US Research Institute website*4.5 and J. F. Oberlin University HP*6.
*1: Images from AI cameras are not saved at all and are immediately converted into data estimated from the images. The data ultimately held by US Research Institute or J. F. Oberlin University does not contain information that identifies specific individuals.This initiative is part of a program in a donated course between our university and US Research Institute, based on a demonstration experiment conducted at the NTT Pavilion at last year's Osaka-Kansai Expo, and is carried out by four companies with the cooperation of Kindai University Educational Corporation and NTT Facilities, Inc.
■ Purpose of Establishment
We will examine spatial evaluation methods based on the data collected from multiple areas within the University Higashi-Osaka Campus.
■ Analysis Method (1)※1
[Acquisition] From images captured by the AI camera, it instantly estimates age, gender, smile level, and dwell time, converting them into data. (Image data is not saved.)
[Processing] Statistical processing is applied to the acquired data.
[Analysis] Analyze spatial usage by visual estimates combined with data from time-lapse cameras.
■ Analysis Method (2)※2
[Acquisition] Using still image data taken with a time-lapse camera, we collect data such as people's movement trajectories and dwell time.
[Processing] Interprets the acquired data and processes it into spatial visual representations that do not identify individuals.
[Analysis] Analyze by combining data such as AI camera data and visual estimates of how spaces are used.
■ Filming Period※2
Scheduled for November 16, 2026, 10:00~17:00.
■ Number of cameras and installation locations (shooting area)
One AI camera / Three time-lapse cameras on Kindai University campus (total of 5 locations)
The analysis results of this demonstration will be verified at our university and US Research Institute, and will be shared with Kindai University Educational Corporation and NTT Facilities, Inc. In this demonstration, we will establish and properly operate policies regarding compliance with laws and regulations concerning the protection of personal information. We also establish basic policies regarding information security. For details, please refer to the US Research Institute website*4.5 and J. F. Oberlin University HP*6.
*2: Still image data is handled only within the US Research Institute's security environment in accordance with the Personal Information Protection Policy and security regulations. After processing into spatial visual representations that do not identify individuals, the original data is promptly deleted.
*3: May not be held depending on the weather on the day.
*4: US Research Institute Personal Information Protection Policy (https://www.ntt-us.com/usri/statement.html)
*5: US Research Institute Basic Policy on Information Security (https://www.ntt-us.com/usri/policy/pdf/g_policy.pdf)
*6: J. F. Oberlin University Privacy Policy (https://www.obirin.ac.jp/privacy_policy/)
Inquiry
J. F. Oberlin University and Affiliated Schools General Planning Department, Public Relations Section
- webadmin@obirin.ac.jp
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