CenLab Entry by Rares Ivan, Robert Assimiti and Ion Toma , Centero, USA

Centero introduces CenLab, a handheld, wireless, Internet of Things connected chemistry

analyzer. CenLab allows for automated, cost effective analysis of body fluids and water quality. It eliminates time

consuming and costly trips to the doctor’s office by providing ubiquitous, instantaneous urinalysis and blood

screening results in the comfort of your home or on the go. CenLab is a versatile tool for pre-emptive screening for

various diseases as well as monitoring of chronic conditions. It delivers meaningful and accurate health information

in a way that can be understood without a medical degree.

Enabling ‘Avacar’ Virtual Vehicles Entry by Josh Siegel, CarKnow LLC, USA

CarKnow’s open-source CARduino device uses GSM to digitally duplicate a vehicle in the Cloud, mirroring all measurable parameters from On-Board Diagnostics, GPS and accelerometer devices, and proprietary CAN networks, while also providing low-level access for real-time output control. Our RESTful API uses human-readable commands for easy, brand-agnostic data capture and transmission through the use of a novel

manufacturer-aware interpreter. Data are stored in an interoperable JSON format, easing cross-platform development and reducing time to market for vehicle applications ranging from prognostics to automation.

GameReality Entry by M.Sc. Magnus Ivarsson, GameReality, Sweden

GameReality has developed an Internet Protocol enabled first person shooter (FPS) game that allows players to remotely control real-life holonomic combat robots over the internet based on an Android app. Players are given a real time video feed which enables them to control the paintball or laser tag equipped robots that are located in another city or country and hunt down other robots or players. Their goal is to develop the first game to bring real people into an FPS world, giving gamers the opportunity to earn money by developing robots for use both in the game and in reality - GameReality.

HOP into the IoT through IPv6-Ready Bluetooth Smart Devices Entry by Dr. Antonio Jesus Jara Valera, David Fernandez Ros, Pablo Lopez Martinez, Jose Felix Castillo Moya,

HOP Ubiquitous S.L., Spain

HOP Ubiquitous presents HOPs: tiny and versatile Bluetooth Smart devices with an Open SDK to

interconnect them to Smart Phones (Android and iOS), Internet and Cloud Computing platforms, through a simple and intuitive IPv6 and RESTFul API. Thereby, HOP is enabling innovative IoT & IPv6-enabled products for personal area networks (activity monitoring/healthcare), home automation (energy efficiency), and proximity marketing (interacting with the world).

IoTSyS—Control Logic Editor Entry by Markus Jung and Jürgen Weidinger,

Automation Systems Group, Vienna University of Technology, Austria

The IoTSyS control logic editor provides a means for connecting both IP and non-IP based objects through an easy-to-use HTML5 interface running on top of a Java-based middleware layer. IPv6 smart objects, non-IP based automation devices and web-based information can all be quite simply interconnected graphically to implement a

powerful control system. A group communication mechanism based on IPv6 multicasting allows gateway-free peer-to-peer interaction between IPv6 Smart Objects.

Don’t forget to vote in the People’s Choice Awards!

Check out all 10 contestants at the

IoT Pavilion on June 25th & 26th.

Use the unique QR codes to read

more about each entry.

When you’re ready to vote,

use this QR code!

You can only vote once, so

make it count!

Enter your contact information for a

chance to win one of our Sponsor Prizes.

Attend the People’s Choice Awards

Ceremony on Thursday, June 26th at the

Sensors Magazine Live Theater at

10:15am.

IPv6 Enabled Indoor Positioning System Entry by Dr. Alar Kuusik and M.Sc Asfak Rahman, ELIKO, Estonia

ELIKO's wireless positioning system “kio” is targeting indoor applications where both accuracy and

low cost are important. kio utilizes both Ultra-Wide Band radio communication technology as well as the Time-of-Flight distance measurement technique. While the localization accuracy of widely used WiFi-pattern

fingerprinting can vary by several meters, kio's positioning error is below 30 cm (1 ft). The kio node's hardware also includes a 16-bit, 3D accelerometer and gyroscope. The main application fields for the kio system include indoor robot navigation and warehouse management. In the future, the device also could be used as an IPv6-compliant, wearable

safety device for elderly people in order to provide a more accurate position in case of emergencies.

Predictive Whole House Fan Controller Entry by Brett Warneke, USA Whole house fans are an efficient means of cooling a residence, but they traditionally require significant attention from the

occupants to monitor the interior and exterior temperature differential and then open and close windows at appropriate times. The Predictive Whole House Fan Controller wirelessly monitors temperatures inside

and outside the house as well as household window states, requests daily weather forecast data and reported air quality

conditions, and logs this data on a cloud service for analysis. The Controller sends XMPP notifications (Jabber instant messaging) advising occupants when to open or close the windows and then automatically turns on and off the whole

house fan, reducing the effort to use the house fan while improving the efficiency of the system and thus the comfort of the occupants.

Ripple Entry by James West, Nir Weiner, Nathan Weinle, Brandon Harmon, Lucas Boswell, Matt McCartney, Dr. Sanjay

Boddhu, Adam Renner, Dr. Robert Williams, Air Force Research Laboratories' Discovery Lab, USA

Ripple is a prototype wirelessly networked physiological monitoring system. Ripple gathers subject health information with the following sensors: electrocardiogram, pulse oximeter, and dermal temperature probe. Inter-

Ripple-device communication is built on top of IEEE 802.15.4-based transceiver hardware and 6LoWPAN-based networking software. Ripple is designed for use by first responders during mass-casualty incidents.

Smart Tap Entry by Dr. Theofanis Lambrou, Aqualligence, Cyprus

Smart Tap is an IP-enabled device for real time monitoring of potable water contamination at consumer sites. This device is a low cost, integrated hardware-software sensory system that allows in-pipe (or in-tank) monitoring of water quality. When contamination or significant violation in any key water quality parameter is detected, an alert is sent to interested parties/users. Alerts and pertinent data are transmitted over the Internet Protocol to a cloud service and can be received by smartphones, tablets, laptops etc. This system may be used equally efficiently by home-owners as by industrial users (hospitals, hotels, cruise ships, etc) and water utilities. The system can provide a pervasive early warning system for potable water quality through the Internet of Things.

Yanzi Entry by Lars Ramfelt, Niclas Sahlgren, Marie Lassborn, Stefan Sandhagen, Fredrik Ljungberg,

Anna Olofsson, Simon Gidlund, Yanzi, Sweden

Connecting millions of users with billions of things. Yanzi is a leading edge, scalable software, Internet-of-Things Cloud platform with highly integrated hardware products that guarantees the user experience end-to-end. Products are self-installed by the user (patent pending). The solution is secure and based on IP all the way to the sensors. The App for the phone is central for delivering the services.

Don’t forget to vote in the People’s Choice Awards!

Check out all 10 contestants at the

IoT Pavilion on June 25th & 26th.

Use the unique QR codes to read

more about each entry.

When you’re ready to vote,

use this QR code!

You can only vote once, so

make it count!

Enter your contact information for a

chance to win one of our Sponsor Prizes.

Attend the People’s Choice Awards

Ceremony on Thursday, June 26th at the

Sensors Magazine Live Theater at

10:15am.