FaceVue: A Review For Dynamic Advertising And Cost Management System
Abstract
FaceVue is an innovative project aimed at
revolutionizing traditional advertising methods by introducing a
real-time face analytics system for dynamic cost management.
Traditional billboard and hoarding advertisements are replaced
with a digitalized system that not only offers cost efficiency but
also enhances marketing effectiveness through targeted audience
engagement.FaceVue analyses audience demographics in
real-time, including age, gender identification and number of
faces. Then we curate advertisements perfectly suited to each
viewer, ensuring maximum engagement and relevance. The
system employs the face detection and recognition module to
gauge audience engagement, providing insights into the number
of viewers for each advertisement displayed. The cost of
advertising is directly linked to this analytics of advertisement
viewership, offering a transparent and fair pricing model for
clients making it fair and accessible for business of all shapes and
sizes.
FaceVue targets small businesses and startups, providing an
economical and efficient platform for advertising. This
democratizes marketing opportunities, allowing businesses with
limited resources to compete effectively in the market. Future
enhancements include improving the efficiency of the system
through the automation of uploading advertisement videos,
empowering clients to directly upload their advertisement
content. Additionally, automation of payment invoice processes
will streamline financial transactions, enhancing overall user
experience and operational efficiency.
Keywords:
FaceVue, Convolutional FrameworkPublished
Issue
Section
License
Copyright (c) 2024 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Honey Joseph, Aaron Samuel Mathew, Adhil P, Alan Siby, Alwyn Joseph, Potato Leaf Disease Detection Using VIT , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Jesvin Jelson , Kesiya Rachel Johns, Mehak , Ken Jacob Zachariah, Neenu R, Custom Cart – Virtual try-on in e-commerce platforms using generative AI , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- NITHYA M V, ADIL SIYAD K.M, AFINSHA P.B, GAUTHAM T.S, ABHIJITH K.P, SALIH SUDHEER, ARJUN SANKAR R.S, C.S ADHITHYAN, JEWELLERY SHOPPING WITH FACIAL RECOGNITION , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Ethen Biju, Chris Mathew, Alina Ann Joseph, Diya Kalyan, Ria Mathews, DaceStudio: AI-Driven Code Editing for Next-Gen Software Development , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Yamini C.K, Ajin krishna K U, Akhil Thilak, Amith Raj P R, Aromal A S, Alex joy, Jishnu Babu T, Jeswin jaison, VIDEO MOMENT RETRIEVAL SYSTEM , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Lis Jose, Albin John Wilson, Akshay Sebastian, Alisha Ann Subash, Agnes James, SafeRoute-A Comprehensive Travel Solution , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Jyothis Joseph , Ajay K Baiju, Ganga Binukumar, Akshara Manoj, Sandra Elizabeth Rony, A Crowd Monitoring and Real-Time Tracking System using CNN , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr.Sinciya P.O , Ameena Ismail, Christin Abu, Don P Mathew, Gokul Krishnan G , Enhancing LSD Image Classification Techniques A Literature Review on Classification Techniques , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Amal P Varghese, Simy Mary Kurian, Advancements in ECG Heartbeat Classification: A Comprehensive Review of Deep Learning Approaches and Imbalanced Data Solutions , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
You may also start an advanced similarity search for this article.
