It never been easier to collect Bluetooth sensor information and store it in the cloud. The INGICS gateways come with step-by-step instructions how to set up AWS IoT Core, Azure IoT Hub and Google IoT Core.
We now have the M52-SA Plus in stock. This is a slightly taller variant of the M52-SA with a larger CR2477 battery.
The M52-SA range are highly capable ‘third generation’ sensor beacons. This beacon has temperature, humidity and acceleration sensors and offers two configurable channels and a sensor data channel. It can advertise iBeacon, Eddystone UID, Eddystone URL or custom data in each channel simultaneously. Use of the Nordic nRF52 ensures a long battery life.
There’s a new manufacturer, Meeblue, offering highly capable sensor beacons at competitive prices. We have the M52-SA in stock:
This beacon has temperature, humidity and acceleration sensors and offers two configurable channels and a sensor data channel. It can advertise iBeacon, Eddystone UID, Eddystone URL or custom data in each channel simultaneously.
The acceleration is only used for motion triggered broadcast. Broadcast can also be triggered by the hidden button in the centre of the beacon that also acts as an on/off switch.
The beacon can also be used as a temperature/humidity logger storing up to 80985 records with a configurable storage interval of 1-240 minutes.
Use of the Nordic nRF52 ensures a long battery life.
We have two new sensor beacons in stock. The iBS03TP is a waterproof temperature beacon with a 2m probe measuring -50C to 150C with an accuracy +- 0.5C.
The iBS02M2 measures on/off. This can be a switch or a voltage (0.5v to 50v is ‘on’).
The small PCB with a USB connector plugs into the main unit USB. The terminal block is used connect to anything that provides a switched or voltage output. This makes this beacon suitable for detecting a wide range of on/off scenarios.
The x axis is time. You can see the x, y and z values, every 100ms, over time. The y axis is normalised between -1 and -1 for use in our SensorCognition Edge device. The chart is for when the beacon has been moving, followed by a stationary period. Notice how the orange line continues to show acceleration even though the beacon isn’t moving. This is caused by gravity.
In this chart the beacon has been flipped over and the orange line now shows a constant negative acceleration.
A good thing about the presence of a constant offset in one of the x y z inputs is that it can be used to help determine the orientation of the beacon. The less desirable aspect is that the offset significantly complicates using the x y z to determine types of movement such as human gestures.
Such complex data problems are more easily solved using AI machine learning than trying to write a traditional algorithm to make sense of the data.
Here’s an example of output from a SensorCognition Edge device trained with up and down movement and left and right movement. In this case, the output 227 is showing the beacon is moving left and right.