Mohammad Hasan Olyaei Torqabeh - Faculty of Electrical Engineering, Sadjad University of Technology, Mashhad, Iran
Zahra Tavakoli - ARIVET Project, Mashhad, Iran
Aghele Mohammadi - ARIVET Project, Mashhad, Iran
Tahereh Zameni - ARIVET Project, Mashhad, Iran

Today, there are different ways to advertise a product or introduce a service. Among these methods, environmental advertising is an effective way to increase awareness about services and products of businesses. Because during a day, a lot of people are moving around in public places that anyone can become a buyer of that product by seeing the ad. Also, with the advancement of various sciences and technologies, proper management in marketing and advertising is very important for success among business competitors. A very important and key issue in environmental advertising is choosing the right place to place banners or billboards. In this paper, with the help of image processing algorithms, a method is proposed that can analyse and obtain suitable locations for placing ads in a public place. This method can play a very key role in the field of advertising in all markets, passages and other public places. In other words, with automatic analysis and review, suitable locations can be selected to environmental advertisements to increase the efficiency of advertisements compared to normal. Also, the final results of this article show the proof of this theory and idea

advertise, environmental advertising, image processing, python, computer vision