Study of shoplifting prevention using image analysis and ERP check
Yoji Yamato, Yoshifumi Fukumoto, Hiroki Kumazaki

TL;DR
This paper introduces a SaaS-based shoplifting prevention system that combines image analysis of security cameras with ERP data checks, aiming to reduce shoplifting losses for small Japanese shops.
Contribution
It presents a novel integration of image analysis and ERP data verification in a SaaS platform for shoplifting prevention, utilizing online machine learning technology.
Findings
Effective stream analysis of security camera footage using Jubatus.
Potential reduction in shoplifting incidents through combined image and ERP checks.
Feasibility demonstrated for small shop implementation.
Abstract
In this paper, we propose a SaaS service which prevents shoplifting using image analysis and ERP. In Japan, total damage of shoplifting reaches 450 billion yen and more than 1000 small shops gave up their businesses because of shoplifting. Based on recent cloud technology and data analysis technology, we propose a shoplifting prevention service with image analysis of security camera and ERP data check for small shops. We evaluated stream analysis of security camera movie using online machine learining framework Jubatus.
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Taxonomy
TopicsVideo Analysis and Summarization
