Abstract: Presenting a systematic study and optimization of crowd monitoring methods based on tracking consumer devices with activated Wi-Fi or Bluetooth interfaces using stationary scanners with directional antennas. Analysing crowd with the help of Wi-Fi and Bluetooth is necessary as they do not need the corporation of audience present in the event or place. Monitoring without the need of audience places a major role in providing and maintaining security at mass events or in places with huge human crowd. Analysis of RF signals is a well-known technique for human activity monitoring. We use a raspberry pi to scan the surrounding for the devices of audience and push the data into system for data processing and after data processing we produce a heatmap and timeline for proper analysis of an individual based on requirements.
Keywords: Wireless communication, Wi-Fi, RF signals, Features from Accelerated Segment Test (FAST)
| DOI: 10.17148/IJIREEICE.2019.7207