Authors : Dr. G. Prasad Acharya; M.Chandrika; R. Abhilash; S. Pradeep

Volume/Issue : Volume 9 - 2024, Issue 5 - May

Google Scholar : https://tinyurl.com/zx2uycy4

Scribd : https://tinyurl.com/5xxc69zy

DOI : https://doi.org/10.38124/ijisrt/IJISRT24MAY423

Abstract : In modern times where analysis of foot traffic is essential for effective resources management and security, moving target systems that use Wi-Fi-based movement counter offers an innovation solution. This paper summarizes the fundamental idea, the methodology as well as the potential uses of the system. The proposed system makes use of the widespread characteristic of Wi-Fi networks to detect and track the movement of moving targets within a given area. With a thorough analysis of Wi-Fi signals generated by tablets, smartphones or any other wireless-enabled device carried by people, the proposed system is capable of accurately counting and recording the movements of individuals in real-time. The system operates passively by eliminating the requirement for sensors or manually counting. Furthermore, it captures live data, which allows rapid making of decisions regarding security, crowd management and resource allocation. Potential possibilities for applications of the wireless moving target counter are diverse. For retail environments they can help enhance the store's layout and personnel according to peak times for traffic as well as popular pathways. Moving target counters that use Wi-Fi provides a high-end yet easy option for precise and instant pedestrian analysis. The potential for it to transform the management of crowds and improve security across a variety of settings is a powerful device for today's environments.

Keywords : Arduino; Hit Counter; Moving Target; Relays; Wi-Fi; Target Shooting Mechanism.

References :

1. B. Rodrigues, L. Müller, E. J. Scheid, M. F. Franco, C. Killer, "LaFlector: a 2D LiDAR-based Indoor Tracking Approach," 2022. [Online]. Available: files.ifi.uzh.ch.
2. B. Yang, X. Cao, C. Yuen, and L. Qian, "Offloading optimization in edge computing for deep-learning-enabled target tracking by internet of UAVs," IEEE Internet of Things Journal, 2020.
3. Z. Wang, J. A. Zhang, M. Xu, and Y. J. Guo, "Single-target real-time passive Wi-Fi tracking," in IEEE Transactions on ..., 2022.
4. SR BR, "Information and Communication Technology Application in the Asian Tourism Industry," in Handbook of Technology Application in Tourism, Springer, 2022.
5. Z. Zhang, N. Avazov, J. Liu, et al., "WiPOS: A POS terminal password inference system based on wireless signals," IEEE Internet of Things Journal, 2020.
6. J. Lendino, "Attract mode: The rise and fall of coin-op arcade games," 2020.
7. N. Goldschmied, A. García-Aliaga, D. Muriarte Solana et al., "Do women and men compete equally on a level playing field? An empirical investigation into the 2021 Olympic shooting competitions," Plos one, vol. 2023. journals.plos.org, 2023.
8. M. R. H. Chandan, T. A. Naim, M. A. Razzak, et al., "Image processing-based scoring system for small arms firing in the military domain," in Proceedings of the 4th ..., 2022.
9. M. D. Phung and Q. P. Ha, "Motion-encoded particle swarm optimization for moving target search using UAVs," Applied Soft Computing, 2020.
10. J. Svatos and J. Holub, "Impulse acoustic event detection, classification, and localization system," IEEE Transactions on Instrumentation and Measurement, 2023.
11. Magnetospeed LLC Nielsen Kellerman Co, “TRAFFIC - COUNTING SYSTEM AND METHOD THEREOF”, United States Patent Application Publication, Jan . 4 , 2018.
12. Jon Paul Allen , Tustin , CA ( US ), “TARGET TRACKING SYSTEM”, United States Patent Application Publication, Mar. 31 , 2022.
13. DRTS LLC , Catonsville , MD ( US ), “REACTIVE TARGET SYSTEM” , METHOD Publication Classification AND KIT, United States Patent Application Publication, Mar. 31 , 2022.
14. Magnetospeed LLC Nielsen Kellerman Co, “SCORING SYSTEM FOR ARCHERY”, United States Patent Application Publication, Jun. 5, 2014.