iBeacon, Eddystone, Bluetooth, IoT sensor beacons, apps, platforms
We have previously written about the iBeacon enabled EAO passenger interface. There’s a new video with rendered mockups showing the system:
iBeacon advertising is used to allow train operators to know a passenger’s seat and carriage location during the journey.
There’s a recent paper Review of Indoor Positioning: Radio Wave Technology that provides a great overview of indoor positioning technologies.
From a hardware perspective it covers, RFID, UWB, Bluetooth, ZigBee, IR, WiFi, ultrasonic and hybrid systems. There’s a useful comparison table of the various technologies:
The paper describes methods of using radio signals to determine position such as RSSI ranging, trilateration, angle of arrival (AOA), round trip time of flight (RTOF), phase of arrival (POA) and time of arrival (TOA).
It also describes methods such as fingerprint localization.
There’s recent research into using Bluetooth beacons in mines. The paper by Department of Energy Resources Engineering, Pukyong National University, Korea on Analysis and Diagnosis of Truck Transport Routes in Underground Mines Using Transport Time Data Collected through Bluetooth Beacons and Tablet Computers analyses truck travel times.
Beacons are detected by truck mounted tablet computers and analysed by a cloud server. This was tested in a limestone mine located in Jeongseon, Korea. The system is able to detect sections of routes that are stable and unstable so as to highlight areas that need further analysis and remediation to improve transit flow.
There’s an article at business of business on how Yasmine Mustafa has created a new business Roar For Good that supplies smart panic buttons for hotel and hospitality workers.
This is one of the first applications of Bluetooth Mesh outside of lighting. Workers push the panic button if they need help. A nearby beacon is used to identify their location and a notification is sent to security or the hotel manager.
If you want to try Bluetooth beacon advertising from your iOS or Android smartphone there’s a Flutter plugin called beacon_broadcast:
Simulating a beacon from a smartphone is a great way to get started and explore Bluetooth LE prior to buying dedicated hardware devices. However, it’s not something you should progress to regular use because advertising in this way uses a lot of battery power.
Beacon_broadcast is open source and the source code can be found on GitHub.
Hotel Management has an article mentioning how hotel panic button solutions are being used by Curator Hotel & Resort Collection.
Employees wear a cellular wireless panic button that can be pressed when help is needed. Bluetooth beacons are placed around the hotel that allow the worker to be located.
There are other ways to implement such systems without needing expensive, extra, cellular wireless. For example, it’s possible to piggy back on phones employees are already carrying, use beacons with 2-way radio or have gateways around the hotel to detect location.
James Bayliss, a final year industrial design student at Loughborough University, has designed a smart mobility aid that uses beacons. It’s allows people with dementia to live safely in their own home for longer.
The system, called ‘AIDE’, comprises of a walking stick that works with Bluetooth beacons situated around the home.
It tracks the person’s movement and uses machine learning software to detect behaviours and actions that are out of the ordinary. The system also provides reminders to the person to help re-orient them if they have a confused episode.
There’s a recent paper by researchers at DeustoTech Institute of Technology, Bilbao, Spain and Department of Engineering for Innovation, University of Salento, Lecce, Italy on Behavior Modeling for a Beacon-Based Indoor Location System.
The research compares two different approaches to track a person indoors using Bluetooth LE technology with a smartphone and a smartwatch used as monitoring devices.
The beacons were iB005N supplied by us and it’s the first time we have been referenced in a research paper.
The research is novel in that it uses AI machine learning to attempt location prediction.
The researchers were able to predict the user’s next location with 67% accuracy.
Location prediction has some interesting and useful applications. For example, you might stop a vulnerable person going outside a defined area or in an industrial setting stop a worker going into a dangerous area.
We have a new specialist sensor beacon INGICS iBS03R in stock. It uses a time of flight (TOF) sensor to accurately detect distance to ±25mm over a range 40mm to 3m and 27 degree field of view.
It’s suitable for applications such as waste can, toilet paper, sanitiser, inventory monitoring and industrial automation.
Bluetooth LE development is getting very popular with an increasing number of learning resources. Here are some that have appeared recently:
Erik Hellman, a developer, has two useful articles Bluetooth LE for modern Android Development part1 and part2. He covers Android versions, Bluetooth GATT, PHY, Android Device Manager, pairing and bonding.
Litum have a new article What is Bluetooth Low Energy (BLE)? How does BLE work? that’s higher level and less technical covering Bluetooth LE device discovery, differences to Classic Bluetooth, how positioning works, Bluetooth range , usecases and industries.
Zephyr, the embedded systems OS have also recently updated their Bluetooth documentation.