This document discusses an integrated Internet of Things (IoT) solution provided by Feuerlabs and Omnisense that includes device management, indoor location services, mesh networking, and RFID sensors. Specifically, it provides: 1) Device and traffic management software from Exosense that allows remote monitoring and control of IoT devices over various network types. 2) Indoor positioning and location services from Omnisense using mesh networks of sensor nodes that can track assets and people. 3) Batteryless RFID sensors from Silent Sensors that can monitor conditions like temperature, pressure, and humidity over long periods of time. 4) An example application of using these technologies for food transportation

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

2. Who
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Feuerlabs
• Exosense - device management platform
Omnisense
• Series 500 Cluster Geolocation System
Silent Sensors
• RFID Sensors

3. 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

4. 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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5. • 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

6. 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)
6Around the home Dairy cow movements
Airport tracking (airside)
Trailer loading bays

7. 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)

8. 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

9. 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

10. 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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11. 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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Silent
Sensor

12. 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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13. Something we prepared earlier
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14. Another video
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15. Contacting me
Marcus
Taylor
erlang@me.com
+44
7736180404
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