Internet of Things - Feuerlabs, Omnisense and Silent Sensors

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Feuerlabs IoT at the edge with SaaS, in-building location, mesh networks and RFID Sensors Omnisense

description

IoT at the edge with SaaS, in-building location, mesh networks and RFID Sensors

Transcript of Internet of Things - Feuerlabs, Omnisense and Silent Sensors

Page 1: Internet of Things - Feuerlabs, Omnisense and Silent Sensors

Feuerlabs

IoT at the edge with SaaS, in-building location, mesh networks and RFID Sensors

Omnisense

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Who

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Feuerlabs •  Exosense - device management platform

Omnisense •  Series 500 Cluster Geolocation System

Silent Sensors •  RFID Sensors

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What:

An integrated approach to managing devices and data transport, to provide and end-to-end IoT service.

Exosense ‘Server’

Device & Traffic Management

Customer Application

Server

Network Cell, Wi-Fi, Ethernet

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Silent Sensor

•  Device and traffic management

•  A reliable, flexible, and secure data pipe to your devices, over any network

•  Remote configuration, administration, and monitoring of devices

Exosense •  3D In Bullding

Positioning and Location

•  Mesh Network •  250 nodes per cluster •  Hi accuracy

Omnisense •  Batteryless RFID Sensor

•  Sensors for pressure, temperature, humidity, strain, stress and integrity

•  Decade long service life

•  Cheap

Silent Sensor

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Exosense

•  Open Source device Linux distro •  Carrier grade technologies for secure, robust &

highly scalable solutions •  Handling of the entire infrastructure, from backend

server interface to the device, including network subscriptions, which keeps the customer focused on their value-added technology

•  Hot device upgrades over the air offer uninterrupted service even as new software is being installed

•  Mixed asset management provides a single, easy to use interface to all installed devices, regardless of their device vendor or software revision

•  Traffic throttling capability ensures that total network usage does not exceed the data plan or other resource restrictions

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•  Self-initialising devices communicate over 2.4GHz to form a mesh network.

•  Each device knows position relative to others by measuring the time of arrival of radio signals from neighbours

•  Mesh data network •  Fixed infrastructure not required •  Simple API for integrators •  Works indoors & out •  Achieved with low cost & lowpower chips & MEMs

sensors

Current Projects: •  Soldiers or emergency services, indoors and

where GPS denied •  Buses, trucks or trains around tunnels, terminals

and depots •  Miners & machinery underground, Construction

industry •  People with dementia, both at home and when

they wander out •  Intelligent sensing telemetry (e.g. fall detection) •  Sports location, timing and training applications

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Position Sensing Platform X,Y positional outputs from Series 500 use in different environments

Airside at an airport, and inside Terminal Heavily metallised barn Among large store rooms (GPS does not work) Tracking people indoors (domiciliary)

6 Around the home Dairy cow movements

Airport tracking (airside)

Trailer loading bays

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X, Y Positioning

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Trail of X,Y positional outputs from GCN-523 use in personnel training exercise (2 seconds between updates)

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Silent Sensors

•  Precise pressure and temperature – 1 PSI or 1 Celsius

•  No maintenance – rugged with wide temperature operating range

•  No batteries to die or buy; no whole replacement units or wheel removals

•  Simple packaging for application from decal to vulcanised

•  Business model for existing (retrofit) and new markets

•  Low cost

8 built into valve stem

retrofit cap In-tyre patch

Drive over reader

Key fob reader

Hand-held reader

Decal

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Collaboration Requirements

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•  RAPID DEPLOYMENT + EFFICIENT DEVELOPMENT

o  Develop + upgrade on the fly – buys valuable parallel development time o  Rapid deloyment using Feuerlabs’ existing hosted server o  Scalable to Tens of Millions of units – minimizes rework as footprint grows o  Back-end and front-end development efforts are cleanly decoupled o  Over-the-air firmware upgrades allow scripted language development

efficiencies on your remote embedded platform •  LOW OPERATING COSTS

o  Automatic traffic throttling – keeps data charges under control o  Software-as-a-Service (SaaS) model – only pay for what is used o  Hardware and network agnostic – not an expensive, proprietary ecosystem

•  ROBUST PERFORMANCE o  Enterprise-level security through end-to-end encryption o  Built on the highly-robust Erlang telecom platform o  Automatic device monitoring and over-the-air firmware upgrade/roll-back

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How can a distributor of high value food products cost effectively provide traceability with temperature and pressure. And provide spin off fleet management benefits.

Yard Managemet & Logistics Scenario - For Temperature and Pressure sensitive products

Primary Technical Challenges:

o  Existing services have poor innate security o  Currently traceability and product quality

managed by statistical method o  Data is collected manually and transcribed o  Granularity down to individual packages o  Integration with Yard Management, Logistics

and Fleet Management system

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Yard Managemet & Logistics Case Study - For Temperature and Pressure sensitive products

•  Develop custom Omnisense RFID node based on Exosense reference platform o  Device features RFID reader, and wired/wireless network connection options

•  Connect backend records database to Exosense Server •  Integrate Silent Sensor readers and Omnisense Nodes •  Use Existing Pressure sensors •  Develop custom RFID temperature sensor •  Deploy initial trial run of 20 systems within 4 months of project start •  Integrate with Yard Management, Logistics and Fleet management •  System ready to scale to 10,000 unit trial

Exosense Server

App Server

Wired, Wi-Fi, UMTS, GPRS

JSON-RPC Logistics

Fleet Management

Yard Management

Omnisense RFID

Reader

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Sile

nt

Sen

sor

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Demo

• Application developed in Matlab • Will show how the cluster performs self

discovery as soon as Gateway is powered and awakens nodes from deep sleep

• Calibrated node is extremely sensitive to changes in orientation

• Nodes position is rapidly updated

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Something we prepared earlier

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Another video

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Contacting me

Marcus  Taylor  [email protected]  +44  7736180404    

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