Tags:ESP32-lilygo-ttgo, Internet of Things, LoRa, Machine Learning, Orange Data mining, RFID and Vaccination campaign
Abstract:
Data collection during the vaccination campaign in public bodies, such as the number of vials, number of doses and temperature checks, is still done manually in most cases. However, this process has been optimized with the use of tablets for real-time registration and verification of the individual's vaccination status. This work presents an intelligent box that uses IoT artifacts with LoRa communication, sensors, RFID technology for detection and counting of vials and temperature monitoring, in addition to predicting the possible reach of the daily goal of vaccinated using a Machine Learning algorithm in order to contribute to decision-making.
Cold Chain Monitoring During the Vaccination Process Through IoT Based Sensing and Machine Learning Techniques