• Swapnali Patki
• Dipti Pachpande
• Prof. Sandeep Thite

Queue management is a malady faced by the wide majority of burgeoning organizations as demand for service is increasing. However, this doesn't mean that backed up lines and grumbling customers is 'the norm' or a situation that can't be solved. Queue management technology can help you take the edge off both the actual and apprehended waiting time for customers, improve customer satisfaction, and provide the data your managers need to further optimize the service experience. This project is based on a smart queue management system for providing real-time service utility request for the convenience of customers as well as administration team of organization. The proposed system aims at minimizing the dissatisfaction with services with medium to long waiting times. At this point, the system enables the administration to receive an input if there is any kind of mishandling or long queue inefficiencies, with the help Wi-Fi module. The proposed system also performs the predictive analysis by regularly updating its database and then after a particular time period it will help the administration to open the closed counters before the queue exceeds the limit. The image processing concept is essential parameter to count number of people in count detection. This system is using Open-CV platform and CNN algorithm for image processing with real-time person detection and taking the record of number of counts of the people. The future predictions based on the count of people in a particular interval of time are done by analyzing the past data using machine learning algorithm as the DNN.

DNN, Open-CV, image processing through CNN

"“Smart Queue Management System with Real Time Tracking Using DNN”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.135-144, May-2020, Available :http://www.jetir.org/papers/JETIR2005325.pdf

"“Smart Queue Management System with Real Time Tracking Using DNN”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp135-144, May-2020, Available at : http://www.jetir.org/papers/JETIR2005325.pdf