beacon1

Bike impact data from sensor

RFIDKNOW_BLE_Test_Channel_1

Monitoring the Child is active/available in a particular zone or not.

This channel is created due to a BLE project for the subject "Sensors Laboratory". Objective: "Positioning monitoring system with beacom BLE through a mobile application for the inside of the house, as well as monitoring the steps with an accelerometer".

This channel is created due to a BLE project for the subject "Sensors Laboratory". Objective: "Positioning monitoring system with beacom BLE through a mobile application for the inside of the house, as well as monitoring the steps with an accelerometer".

TB Sense board backpacked onto Wyzecam Pan

Each RSSI field is the average of one hundred measures done. The visualization shows the relation between the RSSI and the distance from a specific BLE device

Counting the number of BLE Devices around the ESP32 and classifyig them into 3 different fields according to the value of their RSSI.

ESP32 scans a target BLE device to get its RSSI and estimates the distance of the device

External Silabds Sense 2

Multiple values off the Silicon Labs Thunderboard Sense Board connected to my Raspberry Pi.

Data from Accelerometer -> ADC -> BLE -> ESP8266.

Data from Accelerometer -> ADC -> BLE -> ESP8266.

This is the Cloud end of the Final project Titled "Drone/Bot Based Responsive Hostel Monitoring Systems" done for ECEN 5613 - Mobile Computing and IoT Security course, University of Colorado Boulder, with Mr.Keith Graham as the course instructor. The