WO2024166070 - ADAPTIVE ENVIRONMENTAL ADVERTISEMENT, USING FEDERATED LEARNING AND DRONES

National phase entry is expected:
Publication Number WO/2024/166070
Publication Date 15.08.2024
International Application No. PCT/IB2024/051257
International Filing Date 10.02.2024
Title [English] ADAPTIVE ENVIRONMENTAL ADVERTISEMENT, USING FEDERATED LEARNING AND DRONES [French] PUBLICITÉ ENVIRONNEMENTALE ADAPTATIVE, UTILISANT UN APPRENTISSAGE FÉDÉRÉ ET DES DRONES
Applicants ** KARIMI, Nima No.92, Edalat 2nd Alley, Samadoo(Fajr) St, Imam Khomeini blvd Bandarabbas, IR
Inventors ** KARIMI, Nima No.92, Edalat 2nd Alley, Samadoo(Fajr) St, Imam Khomeini blvd Bandarabbas, IR
Priority Data 140150140003008374  12.02.2023  IR
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Quotation for National Phase entry

Country Stages Total
China Filing 912
EPO Filing, Examination 6257
Japan Filing 569
South Korea Filing 577
USA Filing, Examination 2635
MasterCard Visa
Total: 10950
Abstract [English] Considering the increase of companies and startups, the need to be seen and enhancing the sale of goods and services has increased significantly. While there are many advertising methods, there is still different problems such as being unplanned, ineffective or out of reach. This advertising drone with an expandable monitor benefits from a federated learning algorithm and artificial intelligence to analyze environmental factors such as weather, age, population, sex, and number of people to display the most appropriate advertisement based on the conditions and the population. [French] Compte tenu de l'augmentation des sociétés et de jeunes entreprises (« startups »), le besoin de visibilité et d'amélioration de la vente de biens et de services ont fortement augmenté. Bien qu'il y ait de nombreuses techniques publicitaires, il existe encore différents problèmes tels que l'absence de planification, l'inefficacité ou l'inaccessibilité. Ce drone publicitaire avec un moniteur extensible bénéficie d'un algorithme d'apprentissage fédéré et d'une intelligence artificielle pour analyser des facteurs environnementaux tels que les conditions météorologiques, l'âge, la population, le sexe et le nombre de personnes pour afficher la publicité la plus appropriée sur la base des conditions et de la population.