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1. 1 MOTIHARI COLLEGE OF ENGINEERING,MOTIHARI Department of Electrical & Electronics Engineering A Presentation on “ Smart advertisement Banner movement Monitoring and Reporting System ” Under The Guidance of :- Dr. Md. Tabrez Asst. Professor (Dept. of EEE) Presented By : Rahul Singh 22110113902 Sandesh Kumar 21110113027 Tannu Priya 21110113006 Rahul Kumar 21110113042 Project Coordinator :- Dr. Dileep Kumar Asst. Professor (Dept. of EEE)

2. 2 Table Of Content Introduction Problem Statement Objectives of the System Proposed Solution System Architecture & Simulation Component Required Working Principle Data Collection & Reporting Application of the System Advantages of the System Challenges of the System Future Enhancement Conclusion

3. 3 It helps advertisers to understand audience engagement and ad performance. Traditional banners are used for advertising, but businesses don’t know how many people actually see them. There is no way to track how many people pass by, stop, or engage with the banner. The Smart Advertisement Banner Movement Monitoring and Reporting System helps to solve this problem. It uses motion sensors to count people and track movement around the banner. The data is then sent to a mobile or web dashboard, giving advertisers real-time insights. This helps businesses understand how effective their ads are and make better decisions for placing banners in high-traffic areas.

4. 4 PROBLEM STATEMENT ❌ No accurate foot traffic data ❌ Difficult to Track Peak Hours ❌ Manual tracking is impossible ❌ Lack of real-time tracking and analytics ❌ No data on audience engagement or interaction ❌ Difficult to determine the best locations for ad placement So we take idea from some social media platform as jiohotstar , Youtube , X.com, Facebook etc.

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6. 6 Proposed Solution

7. 7 System Architecture & Simulation Simulation https://wokwi.com/projects/417455473962365953 Simulation Link :

8. Component Required Jumper Wire Microcontroller ESP32 Battery LED Indicator Bulb S O F T W A R E C O M P O N E N T H A R D W A R E C O M P O N E N T LCD Display

9. Working principle 9 The Smart Advertisement Banner Movement Monitoring and Reporting System operates using motion sensors to detect human movement near the banner. The system counts foot traffic, tracks engagement, and sends data to a cloud server for processing. Advertisers access real-time insights and automated reports via a web or mobile dashboard, helping them optimize ad placement and improve campaign effectiveness.

10. Data Collection & Reporting 10

11. Application of the System 11 1️⃣ Outdoor Advertising 2️⃣ Shopping Malls & Retail Stores 3️⃣ Public Transportation Areas 4️⃣ Border Security 5️⃣ Events & Exhibitions ( Mahakumbh ) 6️⃣ Government & Political Campaigns 7️⃣ Educational Institutions 8️⃣ Stadiums & Sports Venue

12. 12 1️⃣ Accurate human count & movement tracking. 2️⃣ Better audience insights for advertisers . 3️⃣ Better Ad Placement Decisions 4️⃣ Improved Audience Engagement Tracking 5️⃣ Automated Reporting & Analytics 6️⃣ Cost-Effective Advertising Strategy 7️⃣ Increased ROI for Advertisers 8️⃣ Helps Identify Peak Traffic Hours Advantages of the System

13. challenges of the System 13 1️⃣ Accuracy in Crowd Detection 2️⃣ Identification of Human or Animals 3️⃣ Identification of Gender and Age 4️⃣ Protection of Device

14. Future enhancement 14 Facial Recognition for Demographics by Thermal image Processing AI-Based Behaviour Analysis Voice & Gesture Recognition Enhanced Data Security & Privacy Multi-Location Monitoring Safety of banner with device

15. Conclusion 15 We have developed a smart device that can be installed near advertisement banners or any location where crowd monitoring is needed. This system tracks real-time foot traffic, analyzes audience engagement, and generates automated reports to provide valuable insights. It helps businesses and advertisers make data-driven decisions for better ad placement and crowd management.

16. 16 references Internet of Things (IoT) in Advertising – Gubbi, J., Buyya , R., Marusic, S., & Palaniswami , M. (2013). "Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions." Future Generation Computer Systems , 29(7), 1645–1660. Artificial Intelligence in Advertising – Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th Edition). Pearson. Cloud Computing & Big Data Analytics in Marketing – Chen, M., Mao, S., & Liu, Y. (2014). "Big Data: A Survey." Mobile Networks and Applications , 19(2), 171–209. Smart Advertising Trends – Kotler, P., Kartajaya , H., & Setiawan, I. (2021). Marketing 5.0: Technology for Humanity. Wiley.

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