Tuesday, February 24, 2015

Tracking wildlife with RoboMQ

Tracking wildlife with RoboMQ

With the rapid expansion of sensors, devices, and applications that are interconnecting at an enormous pace of change, there is an increasing need for integrating a full range of sensors and devices with enterprise and the operations systems.

One particularly useful application is pet tracking that can be accomplished with many commercially available products that get the job done as a simple wearable collar.  In addition to telling the owner when they wander off, many collect data and send alerts based on pet's health or surroundings.

Similar technology is also available for wildlife tracking projects but on a much larger scale requiring costly integration of instrumentation tags with transponders, GPS hardware, and satellite transmitters, then feeding the potentially large volumes of data to tracking websites, analysis tools, and storage mechanisms.

Setting up a tracking project also encompasses selection of data format or protocol used to transfer over media whether it is landline, cellular network, wired or satellite communications.  Additionally challenging is the fact that projects need to continuously adopt to changing technologies and devices.

Both project cost and maintenance can also scale up as the scope of project increases including size of tracking area or number of animals, thus, quickly becoming prohibitive for small university or environmental study groups.

With the expansion of Internet of Things (IoT) enabled devices and machine-to-machine (M2M) communication, standards are becoming available as affordable subscription services offering reliable message delivery while avoiding huge investment in infrastructure.  As one possible solution, RoboMQ, provides an open standards based data integration platform allowing diverse and heterogeneous devices and sensors to collaborate together.

How would robomq.io support your tracking project?

The core feature of RoboMQ is a Message Queuing hub supporting open protocols like AMQP, MQ for Telemetry, and STOMP with the simple installation of a client agent plugins on any connected device.  The service also provides “device to dashboard” backed by a real-time analytics engine where users can customize analytics dashboards by few mouse clicks on real-time data stream.  Data driven alerts are another feature that may serve, for example, to send notifications if tracking sensors loose contact or animals cross a particular boundary, aka geo-fencing.

In addition to real-time tracking, RoboMQ big data storage is available for archival and later retrieval of telemetry data with capability to extract into custom dashboard, reporting and archival.  Existing analysis and graphing tools can even tap into the robomq.io big data storage for collaborating and meshing with multiple tracking projects or compare with previously collected data.

With wildlife rehabilitation, migration studies, and even animal adoption programs expanding throughout the world, there will be a greater need to integrate diverse tracking groups, sensor devices, and data they collect.

1 comment:

  1. I am feel so glad after read this post because that post really helpful for me and other users.

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