Bluetooth RSSI, Social Distancing and Contact Tracing

In a previous post we explained how the Received Signal Strength Indication (RSSI) can be used to infer distance. Contract tracing apps provided by governments and workplace social distancing solutions use the RSSI to detect close contact. This post explores some factors that affect how well such systems work. With Bluetooth LE the sender repeatedly … Continue reading “Bluetooth RSSI, Social Distancing and Contact Tracing”

Bluetooth LE Distance Determination Using RSSI

Bluetooth LE can be used to infer distance as is being used in contact tracing and social distancing apps. This is performed from the receiving end using what’s called the Received Signal Strength Indication (RSSI). This is a number, in dBm units produced by the receiving Bluetooth hardware that gives the wireless signal strength. [dBm … Continue reading “Bluetooth LE Distance Determination Using RSSI”

Using Bluetooth and WiFi RSSI for Locating

There’s a recent paper by Hongji Cao,Yunjia Wang,Jingxue Bi and Hongxia Qi of China University of Mining and Technology on An Adaptive Bluetooth/Wi-Fi Fingerprint Positioning Method based on Gaussian Process Regression and Relative Distance. The paper looks into how to combine both Bluetooth fingerprint positioning (BFP) and Wi-Fi fingerprint positioning (WFP) to provide for an … Continue reading “Using Bluetooth and WiFi RSSI for Locating”

Using AI Machine Learning on Bluetooth RSSI to Obtain Location

In our previous post on iBeacon Microlocation Accuracy we explained how distance can be inferred from the received signal strength indicator (RSSI). We also explained how techniques such as trilateration, calibration and angle of arrival (AoA) can be used to improve location accuracy. There’s new research presented at The 17th Annual International Conference on Mobile … Continue reading “Using AI Machine Learning on Bluetooth RSSI to Obtain Location”

Obtaining Distance from RSSI

RSSI is the signal strength at the Bluetooth receiver. The signal type, for example, iBeacon, Eddystone or sensor beacon is irrelevant. The value of the RSSI can be used to infer distance. The accuracy of the distance measurement depends on many factors such as the type of sending device used, the output power, the capability of … Continue reading “Obtaining Distance from RSSI”

Minew’s New MWC01 and MBT02 Repeater Beacons

Minew has recently launched two new beacon models, the MWC01 and MBT02, a new type of product that is a repeater. These repeaters are designed to scan for beacons and re-transmit the strongest signal, providing a new approach to locating, and a way of extending Bluetooth communication. The intended use of these repeaters isn’t entirely … Continue reading “Minew’s New MWC01 and MBT02 Repeater Beacons”

Analysing Sensor Data From Bluetooth Beacons Using AI Machine Learning

Analysing sensor data from Bluetooth beacons using machine learning involves several steps, from data collection and preprocessing to model development and deployment. Here’s an overview of the process: Step 1: Data CollectionThe first step in analysing sensor data from Bluetooth beacons is to collect the data. Beacons continuously broadcast data such as unique identifiers, signal … Continue reading “Analysing Sensor Data From Bluetooth Beacons Using AI Machine Learning”

App-Based Indoor Mobility Detection

The new paper titled A Mobile App-based Indoor Mobility Detection Approach using Bluetooth Signal Strength (PDF) by Muztaba Fuad, Anthony Smith and Debzani Deb from Winston-Salem State University, explores the development and application of a novel system for detecting indoor mobility patterns using the Bluetooth signal strength from mobile devices. This research is significant for … Continue reading “App-Based Indoor Mobility Detection”

NFC and Beacons

Now that some manufacturers have started including NFC in beacons, our customers have started asking about the differences between Beacons and NFC and why NFC is being included. In proximity detection terms you can think of NFC as being an extension of ‘very near’ in iOS’s ‘near’, ‘far’ and ‘intermediate’ proximity classifications. The range is … Continue reading “NFC and Beacons”

Sample Bluetooth Beacon Museum Data Available

Research on Bluetooth dataset for proximity detection in indoor environments collected with smartphones by Michele Girolami, Davide La Rosa, and Paolo Barsocchi, outlines the creation and details of a dataset aimed at enhancing proximity detection between people and points of interest (POIs) within indoor environments, particularly museums. This dataset is created from Bluetooth beacon data … Continue reading “Sample Bluetooth Beacon Museum Data Available”