Serverless Sensor Processing with Machine Learning
View the 60 second video to learn about the advantages of using machine learning with sensor data.
Serverless edge devices solve many of the problems with Internet of Things (IoT) cloud solutions:
SensorCognition™ is a small device, within Bluetooth® range of sensor beacons, detecting movement (accelerometer), temperature, humidity, air pressure, light and magnetism (hall effect), proximity, heart rate, fall detection, smoke, gas and water leak.
One of the problems with IoT is the need to support different inputs and outputs for different IoT scenarios leading to solutions needing costly, complex and time consuming custom programming.
All of our edge devices run the same software. We configure and 'wire-up' pre-defined SensorCognition™ modules rather than creating a new program for each customer. This allows the same device and software to be used for collecting data for machine learning and later re-purposed for production. It provides for quickly changing functionality in response to evolving requirements. It allows us allows us to spend more time on your solution rather than writing new software.
As well as sensor data, SensorCognition™ can also act on and combine data from MQTT, HTTP, WebSocket, TCP, UDP, Twitter, email, files and RSS.
We are are BeaconZone Ltd in the United Kingdom, specialists in Bluetooth® beacon solutions. We offer self-help information, beacon products, consultancy and software development for companies and organisations evaluating/using beacon technologies for use in professional solutions or research.