Implement tracking and monitoring
solutions, all available in LLcloud.
Use data from many IoT sensors,
platforms and protocols.
Implement tracking and monitoring
solutions, all available in LLcloud.
Use data from many IoT sensors,
platforms and protocols.
What Makes LLcloud Special for Designing, Developing and Testing Wearables
Design, create and validate your own
novel wearable sensors and devices.
Combine your data with sensor inputs
from various platforms and apps.
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LLcloud is a platform designed and implemented specifically for multi-sensor data gathering, analysis and visualisation in the cloud.
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LLcloud is one of the few platforms which allows joint analysis of ground wearable and fixed sensor data.
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LLcloud offers an extremely high level of automation of multi-sensor data import, conversion, organisation and processing in the cloud, thus saving considerable time and money.
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LLcloud can be used for both data gathering from novel space and ground data solutions and applications, but also for Living Lab trials with test users, who can then provide feedback via the same platform.
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LLcloud subscription plans come with a large and fast increasing collection of cloud data importers, convertors and processors for wearable, which can be combined in many ways.
Trials in LLcloud with mountain guides and rescuers of the novel Shyn positioning sensor and tracker, developed by the Belgian company Epic Blue, which works indoors and outdoors (also in GNSS denied areas).
Living Lab trials with mountain bikers for a whole year of the Tocsen crash wearable sensor, developed by Tocsen GmbH, Germany, as part of the Galileo Incubation by DSLL.
LLclou Features for Wearable Applications Include
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Advance geofences, zones, tracking, etc.
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Various mathematical metrics to compare location tracks when developing or validating the performance of novel wearable trackers.
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Communication with various wearable sensor and devices via WiFi, 5G and LoRaWAN.
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Communication with Movesense sensors to design, develop and test novel wearables.
In 2022, Panda Insight and DSLL conducted a Living Lab trial with participants using iPhones, Apple Watches, and the Pranyu app. LLcloud automatically gathered and analyzed multi-sensor data, including stress estimates visualized as yellow circles, self-reported stress (blue circles) via app surveys at key locations, and users' location tracks.
LLcloud is being used as a smart backend for a novel wearable cat tracker for city use developed by a German company, which works in hybrid mode and does the tracking in the cloud in safe areas and on the device when approaching and in danger zones.
LLclou Integrations for Wearables Include
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Strava integration (for routes and location data).
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Phyphox integration (for smarphone sensor data).
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Apple Health integration (for Apple Watch and other data).
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GoPro integration (for GoPro videos and telemetry data).
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LLcloud + Movesense integration (for developing and validating novel wearables).
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Imagga integration (for photo recognition) – coming soon.
Pricing
If you are designing, developing or testing new IoT sensors or networks, or a novel logistics application or service and want to rapidly do this at a much lower cost, try and use LLcloud by submitting a subscription plan request.