Development of a Secure ESP32-Based Indoor Position Monitoring Framework for Industrial Applications Using Ble and UDP Communication

Indoor positioning systems are crucial for industries to monitor workers in spaces like warehouses, factories, and construction site. GPS is unreliable indoors because walls, ceilings, and metals weaken and reflect signals, causing major errors. To solve this, BLE is used as a better option due to its low energy consumption, wide hardware support, and indoor suitability. Our system, ESP32 modules work as BLE receivers, scanning and measuring target devices to collect RSSI data, filtering it using Kalman filtering, and estimating distance with a path loss model. Communication between the server and ESP32 is handled through an encrypted UDP protocol for real-time, secure data transfer. This project shows clear accuracy improvements. The MAE reduced from 1.769 meters to 0.265 meters after applying the Kalman filter, and the RMSE dropped from 1.954 meters to 0.311 meters. Raw RSSI estimates initially had a 47.66% error, which was reduced to 7.12% after filtering.%. The obtained data demonstrates that this monitoring system shows clear potential for quick and precise activity measurement within industrial locations. The future work of this project includes developing Filtering techniques, extending the data collection from one floor to multiple floors and integrating the system into IOT platforms for easy industry automation.