The main objective of InterAds (INTERACTIVE VIDEO-BASED ADVERTISING) is the development of an interactive advertising platform that leads to the creation of new advertising content. In this platform, interaction with potential consumers is carried out through intelligent video processing. More specifically, the system must:
- Detect the presence of people in the environment.
- Classify the audience demographically in order to offer different products based on gender and age range.
- Interact dynamically with the user through the use of advanced face processing, gesture interpretation, automatic speech recognition, and 3D image rendering.
- Record all information related to attention and interaction time to analyze the advertising impact by sectors with objective data.
The marketing sector must adapt to provide truly effective solutions to its clients, and this often involves using new technologies. The internet is changing the world, and advertising is no exception. On one hand, customers increasingly do not want to be mere observers but demand to play a more active role while needing to receive effective advertising messages that do not waste their time. It is essential to take advantage of the moment when a customer’s attention is captured to provide all the information they request. This, which has already become a requirement in internet advertising, has not been fully implemented in the real world due to the lack of solutions like the one proposed in InterAds.
To undertake the InterAds project, various partial objectives must be covered. Regarding demographic classification and attention measures based on video sequence analysis, it is important to note that a realistic and complex scenario is intended to be addressed since the system will be placed in a storefront or inside a store and/or shopping mall. Thus, the main objectives to be achieved are related to the operation of facial processing systems under uncontrolled conditions and in real time. Furthermore, InterAds plans to use speech recognition technologies to allow natural interaction with the user, with the main goal being the detection of key words in noisy environments.
