The sensor revolution is accelerating

There are now two billion smartphones with up to 15-20 sensors each

The modern smartphone is a symphony of different sensors that can measure changes in the world in a more advanced way than ever before. We like to think of them as a probe-in-your-pocket that turns the world into a giant laboratory.

The latest models are equipped with ever more sensors - the graph to the left shows the trend over the Galaxy series is to add 2-3 more sensors with every generation leaving us with the ever tantalising thought of what sensor will be added next?

Explore our Sensor Library
Fingerprint scanner
Heart rate
RGB Ambient Light
Relative Humidity
Env. temperature
Barometer
NFC
Gyroscope
Accelerometer
Bluetooth Radio
WiFi radio
FM radio
Cell radio
Front camera
Rear camera
GPS
Magnetic field
Light flux
Battery temp.
Microphone
Touch
S SII SIII S4 S5

Here comes the caption for the table to describe the meaning of some elements.

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  • Intelligent Client

    The OpenSignal Platform features a flexible, configurable client that can collect a wide variety of sensory data on a large scale whilst minimising the battery consumption and data usage. The client can also intelligently gather data when it is most useful and remain idle when not to maximise efficiency.

    Building a sensor data client that is adapted to the multitude of different devices and sensors in the market is no mean feat. To understand just how complicated the mobile device landscape is check out our regularly updated fragmentation report.

  • Scalable Engine

    The OpenSignal platform powers a sensor network with millions of nodes collecting billions of data points and can scale to meet the demands of any number of sensor nodes.

    Built from the ground up using the cutting-edge big data technology, the OpenSignal platform can support the high concurrency that comes from millions of sensor nodes checking in data and features a data pipeline that can store, process and visualized terrabytes of data and beyond.

  • Smart Sensor Fusion

    Using the history of collected sensor data we're building algorithms that better understand the live input from mobile sensors and fuse it together and provide a smarter understanding of the current environment.

    Multiple sensors can be grouped together to form virtual sensors which go beyond the native sensing capabilities a phone has. These virtual sensors can then be used for heightened contextual awareness or as advanced triggers to control the rate of sensor data the platform collects.

  • Context Fingerprinting

    Sensory data can be used to fingerprint a given context so that when another node experiences the same sensory input you can infer the same context.

    This fingerprinting approach enables immediate contextual referencing which adds additional intelligence to the sensory data and can inform data collection choices. The OpenSignal platform features one of the largest contextual-reference library ever assembled.

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