Intelligent Advertising System Incorporating User Feedback: Design and Implementation using OpenCV and Python

Abstract

Conventional advertisement displays have always been a one-way communication channel, as they do not provide an avenue for users to give feedback. This is a primary barrier since firms must tailor their advertising strategies to appeal to their target population based on user response. In this essay, we suggest a clever advertising system that uses a camera to record customer comments. By utilizing computer vision and machine learning, the system may evaluate facial expressions and other visual clues to estimate the user’s degree of involvement and interest. Using this data, the system may provide users with tailored advertisements, boosting conversion rates and enhancing the effectiveness of the advertising campaign.

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Identifiers

DOI

10.1109/conit59222.2023.10205789

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