Employee Location Tracking in Retail Stores

Abstract

Indoor Positioning System generally uses radio signals, visual data or other types of sensor data to determine where assets such as people and objects are located. There are many different indoor solutions and products used in different application areas from smart transportation in smart cities to contact tracking, location-based games to retail. The offered solutions and/or systems by companies for indoor localization, indoor navigation with context-aware provide different accuracy, reliability, installation and maintenance costs according to the techniques and technologies chosen for the purpose. In this study, an innovative hybrid solution is proposed that will bring a different approach to personnel monitoring in a store that will increase productivity in the retail industry. Within the scope of the study, the indoor location determination process will be carried out by using radio frequency and image data together. Map and/or trajectory fusion will be used to integrate different types of results from different sensors. Spatial decision support approach will be used in directing the salesperson to the busy areas in the store.