Autonomous Industrial Sensors 2015 /...
Transcript of Autonomous Industrial Sensors 2015 /...
Autonomous Industrial Sensors
2015 / Confidential
Industrial IoT is rapidly growing to surpass Consumer IoT
Cisco estimates that by 2020 there will be 50 billion connected devices that will transform cities and homes, reducing operation and energy costs.
Cisco Cloud Service (http://blogs.cisco.com/news/cisco-connections-counter)
According to Cisco, over the next 4 years, IoT data traffic is estimated to surpass Connected Things.
Cisco Cloud Service (http://blogs.cisco.com/news/cisco-connections-counter)
By 2020, there will be 50 billion connected devices, and the amount of data traffic these connected devices will create is increasingly greater.
Industrial companies face underlining challenges with IoT implementations
PowerSensors are powered by batteries that need to be replaced or that degrade after too many charge cycles.
ConnectivitySensors require connectivity to provide any real value because they are “dumb”.
ComputingSensors are not programmable to perform any meaningful computations individually or collectively.
MaintenanceMaintenance is required for large-scale and out-of-range deployments
Network SaturationM2M hardware and services are being created to allow every sensor to connect to the internet.
Cloud dependenceCloud services are required to perform the heavy-lifting for dumb data that is collected.
Edyza makes industrial IoT more feasible by overcoming these challenges
Edyza is creating the next generation autonomous sensors that enable IoT applications previously considered impossible due to power, connectivity, and computing requirements.
PowerAmbient energy harvesting through solar, kinetic, radio, or thermal with power stored in supercapacitors
ConnectivitySmart mesh network among sensors that optimize for energy and shared computing with gateways that connect to the cloud
ComputingVirtual machines for the operation of apps and third-party SDKs while providing deep learning and neural networking capabilities
Edyza’s Sensors solve all three challenges at once to create a truly unique sensor platform
• Deploy and Forget• Self calibration• Self Test• Ambient Energy Harvesting
• Mesh Network• Distribute connectivity and computing• Unlimited wireless range without SIM cards
• Over The Air App Updates• Multiple apps
Power
Current power options are limiting the way sensors are used in industrial IoT
Replaceable Batteries Rechargeable Batteries A/C or D/C power
Replaceable batteries have limited lifespans if coupled with computing capabilities.
Rechargeable batteries have degradation issues and do not have large capacities.
Certain sensors with computation or connectivity requirements have a traditional power source.
Edyza sensors harvest ambient energy and store power in supercapacitors
Photovoltaic (Solar)
Radio Frequency
Kinetic (Vibration)
ThermalSupercapacitor
Processor
• Hardware floating point units allow energy-efficient computation
• Machine learning to optimize for available power (intake + storage)
• Supercapacitors store energy between electrostatic force allowing millions of charge cycles without degradation
• Store excess power for low ambient energy periods
Connectivity
Industrial IoT cannot rely on the cloud for critical real-time applications due to a variety of factors
• Power outages, broken links, bandwidth constrains and latency limit the cloud’s relevance in industrial IoT
• The unavailability of the cloud can cause serious failures in systems
• Fog computing allows real-time applications without requiring the cloud for computation
• Computation is performed within the edge network of gateways, sensors, and actuators
* Cisco Technology Radar / Data sources: Cisco Corporate Technology Group, Cisco VNI, Global IP Traffic Forecast
Edyza’s intelligent mesh networking enables sensor networks to perform critical functions without the cloud
Auto-switching between ANT+ and BLE to connect to other sensors, gateways and even smart phones
Mesh network allows our sensors to have unlimited range without needing a SIM card on every sensor
Our patent-pending mesh algorithm balance the utilization of any individual relay path thereby improving network reliability
Our SDK can run on any third-party gateway allowing retrofitting our sensor solution with existing infrastructure
Computing
Massive amounts of “dumb” data is being collected by industrial IoT• Colossal amounts of data are transferred to the cloud for computation
which could otherwise be done on the local network itself
• Various computations can occur on the devices themselves, such as aggregation, pattern recognition, and even predictions
* Cisco Technology Radar / Data sources: Cisco Corporate Technology Group, Cisco VNI, Global IP Traffic Forecast
Edyza sensors have virtual machines to allow for the loading of industrial fog computing “apps”
Every sensor has a Python virtual machine that can run industry-specific applications
With its over-the-air (OTA) capability, Edyza can deploy and update applications on every sensor
Our apps can integrate directly with cloud partners such as AWS IoT, IBM BlueMix’s NodeRed, and Google TensorFlow to leverage deep learning capabilities
Initial Market: Plant Factories
Initial focus on plant factories
Our initial sensor suite focuses on plant factory markets including green houses, other enclosed farming, and even urban and indoor farms
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Plant Factory Market
WinterGreen Research: Vertical Farming, Plant Factory Market Shares, Strategies, and Forecasts, Worldwide, 2014 to 2020
Pilot for agriculture-focused sensors is Freight Farms (backed by Spark Capital)Freight Farms is building farms inside shipping containers.
Edyza is providing sensors that harvest energy from the fluorescent lights within the shipping containers and collect temperature, humidity, barometric pressure, and CO2.
The partnership will entail building proprietary apps that are loaded onto these sensors built for Freight Farms and then licensed to any other green houses and plant factories.
Edyza “LadyBug” for plant factories is our first pilot sensor
CO2
0 to 2,000 ppm
Barometric Pressure
260hPa to 1260 hPa
Temperature
-25 to +55 °C
Humidity
0 to 95% RH
Light
Visible (640nm peak) and Infrared (940 nm peak)
Rotatable solar panels to capture maximum ambient light
Environmental sensor for vertical farming and other industrial applications
Barometric Pressure
260hPa to 1260 hPa
Temperature
-25 to +55 °C
Humidity
0 to 95% RH
Magnetic mounts for easy attachment to industrial machines
Edyza’s platform is designed to expand to other markets
Plant
factories
Plant factories including green houses, other
enclosed farming, and urban and indoor farms
Outdoor
Agriculture
Large farms, local farms, wineries, and
other outdoor agriculture
Industrial
Machines
Oil and gas, HVAC, transportation and
logistics, factories, and environmental safety
Health Care andother markets
With the Edyza core can expand to any industry as
we prove out our technology
Business Model
Our business model does not rest on hardware alone but rather the services that runs on them
HARDWARE SOFTWARE
• Our energy-harvester + computing nodes with sensors will be sold near at-cost
• Our sensors are off-the-shelf modules that falls within the power budget of our harvesters
• Certain nodes serve as gateways for connectivity to the cloud
• Premium service includes support for third party cloud services through gateway
• Deep machine learning apps will be created by Edyza, corporations, universities, and hackers
• Apps are licensed and delivered to sensor networks via Edyza OTA
• Cloud computing will be provided free or at-cost
• Edyza provides services to create custom apps for industries and partners
Industrial Corps SMB and Startups Universities Hackers
Monsanto can create an app for a farm sensor network that helps them suggest seeds adapted to local conditions.
Freight Farms can create apps that help their container-based farms share data between each other to optimize cooling systems without the cloud
Missouri University of Science and Technology creates IP around machine prognosis and predictions that can be packaged as apps
Hackers and enthusiasts can create apps that run in battery-less sensor networks
Other use cases of sensor-as-a-service business models
Forecast: Plant FactoriesYear 1 Year 2 Year 3
Product Sensors and gateways for specific pilot customer and other similar use cases
Sensors, gateways, and actuators for a any plant factory
Partner apps for use within a variety of plant factories and phenologies
Customer Base Initial pilots with several freight farming and green house startups
Expanding to larger scale plant factories in US
International expansion with channel partners and broadened sales and marketing efforts
Revenue $75k $600k $7M
Company
Edyza’s founders have over two decades of combined experience in hardware and software
Rana Basheer, PhD – FounderPrincipal scientist with Broadcom, Embedded systems manager with Garmin, Published several IEEE transaction papers on indoor wireless localization and networking. https://www.linkedin.com/in/ranabasheer
Atul Patel – CofounderCofounder LeadiD ($7m funded by Comcast Ventures), Founder of OneScreen ($17m exit), Cofounder of Optimal ($35m exit)https://www.linkedin.com/in/atulpatelx
J. Sarangapani, PhD – Technical AdvisorRutledge Emerson Distinguished Professor at MST, NSF I/UCRC Director, Embedded Control Systems and Networking Laboratoryhttp://web.mst.edu/~sarangap
Edyza is creating partnerships to support its go-to-market launchEdyza has applied for the EvoNexus incubator in Irvine which is sponsored potential strategic partners
Edyza is partnered with the largest distributor of semiconductor components in the US to streamline inventory and sales management of our sensors.
Fundraising
Edyza has been bootstrapped until now, but we are now positioned for outside investments.
Funding Amount Use of Proceeds (12 months)
We are seeking $650,000 seed investments in the form of convertible note or priced round.
This will allow us to launch our agriculture stack based on the Edyza core over the course of the next 12 months with pilots already being planned.
Staff Sales & MarketingHardwareLegal/PatentsOther Expenses
Total
$285,000$65,000
$150,000$45,000$45,000
$590,000
Contact
Rana Basheer
Atul Patel