RODec 7, 2020

Enhanced Consumer Feedback Enabler System for Advertisement Boards using Auto Panning Camera

arXiv:2012.03562v1
Originality Synthesis-oriented
AI Analysis

This system aims to improve the reliability of consumer emotion analysis for marketing teams by ensuring continuous facial capture, addressing a specific technical limitation in existing feedback systems.

This paper addresses the challenge of capturing consumer facial expressions for advertisement feedback when individuals move away from the center of an advertisement board. The authors propose a system using an auto-pan and tilt camera, controlled by facial detection and interpolation algorithms, to keep the subject centered in the frame.

The feedback of consumers who pass by an advertisement board is crucial for the marketing teams of corporate companies .If the emotions of a consumer are analyzed after exposure to the advertisement, it would help to rate the quality of the advertisement .The state of the art emotion analyzers can do this task seamlessly .However, if the consumer moves away from the center of the advertisement board, it becomes difficult for the camera to capture the person with sufficient details .Here, the role of an auto-pan and tilt camera is imminent if a person moves out from the frame limits of the camera .This paper aims to help solve the above issue by panning and tilting the camera by precise amount automatically using facial detection and interpolation algorithms .We propose a method where a camera attached to servo motors can automatically pan and tilt such that the subject is always in the center of the frame .This would be done by facial detection and interpolation of its position with respect to the angle of the camera .The direction of the camera is controlled with the help of a microcontroller, which takes-in the angle values of where the camera needs to move in order to maintain the subject's face in the center .We have designed a system that works on the Arduino platform and can pan and tilt the camera in real-time.

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