Perceptive advertising using standardised facial features

Abstract

Advertising has become the sole medium for businesses to propagate their products in the market, especially, using digital display hoardings and billboards. Today, the advertisement industry is more dynamic and widespread than ever before; thousands of products are launched every day, to cater to the changing needs and demands of its users the advertisement industry also needs to evolve. Heeding to the need for more effective advertising, this paper tries to establish the idea of perceptive advertising- a responsive advertising system based on facial recognition. This paper proposes a system that captures, identifies and analyses facial features of a person to estimate the gender (86% accuracy). The gender estimated will then be used to model another system which would display advertisements appropriate to that gender, as identified by the previous system strategy. The posited idea will make individuals the focal point of advertising, helping businesses reach the right audience with ease, eventually increasing their sales and profit. Consumers can avoid irrelevant ads and get quick access to the products and services they might need. In conclusion, the paper presents a new approach for advertising, focused on the market needs and on-the-rise smart cities with the use of Computer Vision.