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Gregory M. updated status

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Gregory Menvielle

Heading out to Australia to present at APIdays Australia & New Zealand . If you know people in Sydney (or Perth) whom we should meet with, would love some intros, especially in IT consulting, transportation, smart cities, and mining.

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Gregory M. added photos to project LocalSense

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LocalSense

At the core of LocalSense is the drive towards using IoT to keep people safer in very specific environments where administrators need to know about people and devices’ whereabouts to better inform, prevent, and react.

Check out our intro video here: https://youtu.be/EQ38igNJVCs

LocalSense was born during the Dublin Innovators' Summit when different people in our group realized they had recently met with customers facing a very real problem that could be solved using different tools available in our respective repertoires.

Hardware:
LocalSense is at the POC level so we are using readily available hardware. Because we are taking a “component-first” approach, it would be simple to switch the hardware components around.
For example, a given device may use too much power in certain environments. That’s ok, just switch it and LocalSense will keep on rollin’

· We use Real-Sense technology for face-recognition and voice synthesis.
In a production case, we go with the Intel SR-300 because of its advanced recognition capabilities. Though in demos you should be able to get away with a lower res camera (we use the one on our MacBook Pro as well).

· IoT devices were connected to Intel Edison using an arduino shield and the Grove Seed Kit. Obviously other cards should work. We’ve run a few tests on the Intel Galileo as well.

· For beacons we selected Estimotes. Many companies are entering the Beacons’ business both as iBeacons for iOS and their Android counterpart. As long as you get the right technical spec about the beacons you can use anything you want. Technically you can even turn an Edison into a beacon if you are so inclined.

· Intel NUC act as local servers where we store some data that we do not want broadcast to an external network (someone’s face data for example)

Software:
· Intel XDK IoT edition where we build the code deployed on the Edison. We also use the XDK to emulate + test our companion App
· Node.js on the Edison server. Again, you could use something else as long as you can make REST/HTTP calls

Communication and Device management:

From the get-go we knew that communication routing would be one of the challenge of the projects. We are using SmartNotify™ patent-pending technology to route communications and events between humans and machines. Gregory is part of SmartNotify™

Gregorymenvielle smartnotify headshot

Gregory M. added photos to project LocalSense

Medium 62deada7 dc87 456b 879d 3a97a9931561

LocalSense

At the core of LocalSense is the drive towards using IoT to keep people safer in very specific environments where administrators need to know about people and devices’ whereabouts to better inform, prevent, and react.

Check out our intro video here: https://youtu.be/EQ38igNJVCs

LocalSense was born during the Dublin Innovators' Summit when different people in our group realized they had recently met with customers facing a very real problem that could be solved using different tools available in our respective repertoires.

Hardware:
LocalSense is at the POC level so we are using readily available hardware. Because we are taking a “component-first” approach, it would be simple to switch the hardware components around.
For example, a given device may use too much power in certain environments. That’s ok, just switch it and LocalSense will keep on rollin’

· We use Real-Sense technology for face-recognition and voice synthesis.
In a production case, we go with the Intel SR-300 because of its advanced recognition capabilities. Though in demos you should be able to get away with a lower res camera (we use the one on our MacBook Pro as well).

· IoT devices were connected to Intel Edison using an arduino shield and the Grove Seed Kit. Obviously other cards should work. We’ve run a few tests on the Intel Galileo as well.

· For beacons we selected Estimotes. Many companies are entering the Beacons’ business both as iBeacons for iOS and their Android counterpart. As long as you get the right technical spec about the beacons you can use anything you want. Technically you can even turn an Edison into a beacon if you are so inclined.

· Intel NUC act as local servers where we store some data that we do not want broadcast to an external network (someone’s face data for example)

Software:
· Intel XDK IoT edition where we build the code deployed on the Edison. We also use the XDK to emulate + test our companion App
· Node.js on the Edison server. Again, you could use something else as long as you can make REST/HTTP calls

Communication and Device management:

From the get-go we knew that communication routing would be one of the challenge of the projects. We are using SmartNotify™ patent-pending technology to route communications and events between humans and machines. Gregory is part of SmartNotify™

Medium gregorymenvielle smartnotify headshot

Gregory M. created project LocalSense

Medium 62deada7 dc87 456b 879d 3a97a9931561

LocalSense

At the core of LocalSense is the drive towards using IoT to keep people safer in very specific environments where administrators need to know about people and devices’ whereabouts to better inform, prevent, and react.

Check out our intro video here:

LocalSense was born during the Dublin Innovators' Summit when different people in our group realized they had recently met with customers facing a very real problem that could be solved using different tools available in our respective repertoires.

Hardware: LocalSense is at the POC level so we are using readily available hardware. Because we are taking a “component-first” approach, it would be simple to switch the hardware components around. For example, a given device may use too much power in certain environments. That’s ok, just switch it and LocalSense will keep on rollin’

· We use Real-Sense technology for face-recognition and voice synthesis. In a production case, we go with the Intel SR-300 because of its advanced recognition capabilities. Though in demos you should be able to get away with a lower res camera (we use the one on our MacBook Pro as well).

· IoT devices were connected to Intel Edison using an arduino shield and the Grove Seed Kit. Obviously other cards should work. We’ve run a few tests on the Intel Galileo as well.

· For beacons we selected Estimotes. Many companies are entering the Beacons’ business both as iBeacons for iOS and their Android counterpart. As long as you get the right technical spec about the beacons you can use anything you want. Technically you can even turn an Edison into a beacon if you are so inclined.

· Intel NUC act as local servers where we store some data that we do not want broadcast to an external network (someone’s face data for example)

Software: · Intel XDK IoT edition where we build the code deployed on the Edison. We also use the XDK to emulate + test our companion App · Node.js on the Edison server. Again, you could use something else as long as you can make REST/HTTP calls

Communication and Device management:

From the get-go we knew that communication routing would be one of the challenge of the projects. We are using SmartNotify™ patent-pending technology to route communications and events between humans and machines. Gregory is part of SmartNotify™

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LocalSense

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Created: 01/25/2016

Bringing localization and communications to people who want to keep their resources safe and secured

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Bob Duffy

Folsom, CA, USA

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Josh Bancroft (Intel)

Community Manager, Developer Relations. Geek. Husband. Father. Educator. Tinkerer. Studies the intersection of technology and humanity.

Portland, OR, USA

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Silviu-Tudor Serban

Founder, Helios Vision. Intel Software Innovator

Bucharest, Romania

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Wendy Boswell

Program Manager, Intel Software Innovators

Portland, OR, USA

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Keith Temple

DX Strategist at Intel

Portland, OR, USA

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Martin Foertsch

Intel Software Innovator and Black Belt, Oracle JavaOne Rock Star, Computer Scientist, Speaker, Author for ParrotsOnJava.com

Beta-Straße 13A, 85774 Unterföhring, Germany

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Eric Mantion

Eric Mantion is the Software Community Manager (Nerd Herder) for Intel RealSense Technology.

Tempe, AZ, USA

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VR, AR, mixed reality...you'll find projects based on all these new platforms here. Share your own!

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Navin kumar

I want live my life like a developer not like an end user

Rajpath, India Gate, New Delhi, Delhi 110001, India

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James Sung

Maker, Educator, Traveler

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Panuwat Janwattanapong

PhD Student and Research Assistant at Florida International Student focusing on Bioinformatics Signal Processing and Data Analysis.

Miami, FL, USA

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Alok Jadhav

Published 4 international research papers in intelligent robotics. Developing a AI which can deduce equations for laws of nature.

Vishnupuri, Nanded, Maharashtra 431606, India

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Krushna Ratnaparkhi

A machine learning student.

Aurangabad, Maharashtra, India

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