Amrita INTERNET of THINGS Middleware

Secure, Scalable, Interoperable IoT Middleware

Why It’s Unique

Direct interface to Amrita BigData Framework (ABDF)

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DeVi-Device Virtualizer

Tool to stress test IoT Apps & Intelligent devices

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Amrita IoT Middleware

Secure scalable and interoperable platform

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Why the Need for a New IoT Middleware

Security & Privacy

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EventJ

Receive and hold data: Buffers!

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Application Area

Smart home

Smart office

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Recent Works



AIoTm

IoT, Big Data and Visualization Team, ACCSN @ Amritavarsham '63 Embracing the World Stall

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AIoTm

IoT, Big Data and Visualization Team, ACCSN @ Amritavarsham '63 Embracing the World Stall

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AIoTm

IoT, Big Data and Visualization Team, ACCSN @ Amritavarsham '63 Embracing the World Stall

View

AIoTm

IoT, Big Data and Visualization Team, ACCSN @ Amritavarsham '63 Embracing the World Stall

View

IoT Enabled Inhouse Devices

Amrita Trackbit

A ZigBee based RTLS


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Gateway

Bridges low end IoT devices to AIoTm

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A-mote

ZigBee network for data transfer

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LowZee

The LowZee is a 2.4GHz MOTE

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RFID reader

Easy to add new monitoring location

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Building automation

Use ZigBee/IP

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Processing Streaming Sensor Data

Through ABDF

One of the major Advantage of AIoTm is that users can directly push their streaming sensor/device data for processing onto the in-built analytics framework ABDF (www.abdf.in). It is also possible for the users to query their IoT enabled devices/sensors on the fly to get current status. Users need not have to do programming, instead can use dynamic dashboard facility to define the data streams and then monitor the data generated. it is also possible for them to define thresholds and configure alerts. Data is pushed onto the secure message queues with topic based security enabled. This will ensure that right people get visibility to those data sets through appropriate authentication techniques, despite having to share the same queue with other users.
The whole idea of building ABDF was to make Data Mining more accessible to those spectrum of users outside the range of Data scientists. ABDF is intended to narrow the gap between regular BI and Data Mining world. Besides all a novice user will struggle to build a mining processing pipeline incorporating all the required elements to ensure that the output is reliable. ABDF have built in Algorithm Templates that can help build any mining process flow easily. One can then reshape the template to fine tune the results. A well integrated visualization engine will make life a lot easier for its users in visualizing the result sets.


Recent Videos

GATEWAY SUPPORTED PROTOCOLS

Address

    Amrita Center for Cyber Security Systems and Networks
    Amrita Vishwa Vidyapeetham
    Amritapuri, Kollam
    Amrita Vishwa Vidhyapeetam
    Research Initiative
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