Search Results for: rssi

iBeacon RSSI Anomaly Detection for Indoor Positioning

There’s new research on iBeacon Indoor Positioning Method Combined with Real-Time Anomaly Rate to Determine Weight Matrix that uses a weighted Levenberg-Marquadt (LM) algorithm to determine the location of ibeacons. The solution processes the received signal strength (RSSI) to determine anomaly rates of beacons and hence filter out abnormal signals. This helps to overcome the … Continue reading “iBeacon RSSI Anomaly Detection for Indoor Positioning”

Social Distancing Bluetooth RSSI Calibration

We previously described how social distance beacons differ from ordinary beacons. Devices advertise AND scan rather than just advertise OR scan. The principle is the same with with smartphones using the Apple/Google Exposure Notification API. The problem with smartphones is that their transmit and receive capabilities vary widely. The received signal strength (RSSI) is inconsistent … Continue reading “Social Distancing Bluetooth RSSI Calibration”

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”

FollowMe Bluetooth-based Robot Positioning

The FollowMe project (pdf) explores the feasibility of using Bluetooth and computer vision (CV) technologies to enable a legged robot to autonomously follow a human operator, with control mediated via a smartwatch interface. While the system ultimately relied on CV for effective tracking, considerable effort was invested in developing and assessing the Bluetooth-based approach. The … Continue reading “FollowMe Bluetooth-based Robot Positioning”

New Finder Solution for Warehouses: Pinpoint What Matters, Effortlessly

Warehouses are dynamic, complex environments. Deeply stacked inventory, towering shelves, and a constant flow of goods create a labyrinth where even the most meticulous organisation can be challenged. This complexity often renders traditional item-finding technologies, like AoA (Angle of Arrival) and RSSI (Received Signal Strength Indicator) trilateration, ineffective due to persistent line-of-sight issues and a … Continue reading “New Finder Solution for Warehouses: Pinpoint What Matters, Effortlessly”

What is iBeacon Measured Power?

Most beacons’ configuration app have a setting for iBeacon ‘measured power’ or ‘RSSI at 1m’. This doesn’t change the power output by the beacon. Instead, it’s a value that’s put into the advertising data that declares to receiving devices what the power should be at a distance of 1 meter from the beacon. Receiving devices … Continue reading “What is iBeacon Measured Power?”

Passive Indoor People Counting Using Bluetooth LE

The new paper Passive Indoor People Counting by Bluetooth Signal Deformation Analysis with Deep Learning, proposes a method for counting people in indoor spaces using Bluetooth Low Energy (BLE) signals and deep learning techniques. The goal is to offer a privacy-preserving, device-free, and non-intrusive solution for occupancy monitoring in environments where camera use is inappropriate, … Continue reading “Passive Indoor People Counting Using Bluetooth LE”