I-Mall – A new project to improve the customer experience by intelligent computer vision

UNIVERSITY OF FLORENCE

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UNIVERSITY OF SALERNO

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UNIVERSITY OF VERONA

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UNIVERSITY OF PALERMO

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Project

Improving the customer experience in stores by intelligent computer vision

The project addresses on computer vision and deep learning for person tracking and profiling mainly inside a shopping Mall. The final project’s application is the analysis of the customer’s behavior to provide personalized suggestions at digital signage terminals. The primary goal is to investigate key scientific computer vision issues that are central to such and similar applications and develop innovative solutions with respect to the state of the art. To foster the usage in real contexts, we will design privacy-respectful solutions. We plan to verify the full application in a real event at VERONAFIERE, that committed to host.

Main research topics

Analyze the customer’s behavior to personalized suggestions at digital signage terminals

RE-IDENTIFICATION OF INDIVIDUALS

Creating anonymized identities in open-world settings to allow continous re-identification of people across different locations

BEHAVIOR ANALYSIS

Understand interests and actions of an individual either alone or in a group

EXCTRACT OF PERSONAL FEELINGS

Understand emotional status and attention from face analysis

EXTRACT OF PERSONAL STABLE TRAITS

Learn hidden information such as social class, personality traits, etc

RE-IDENTIFICATION OF INDIVIDUALS

BEHAVIOR ANALYSIS

EXCTRACT OF PERSONAL FEELINGS

EXTRACT OF PERSONAL STABLE TRAITS