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Johnny C. added photos to project The Small Garden Birdwatch

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The Small Garden Birdwatch

Despite urbanisation, our back garden silently provides wildlife a chance to recuperate from our harsh urban landscape. Birds are able to fly into our garden - pecking away seeds from birdfeeders; pulling out and sucking worms from the soil; sneakily hunting bugs (that enjoy sticking onto plants and composts) for "yummy" snacks; having a wash by the pond; and even just sitting around sunbathing.

Some gardens attract certain types of birds, whilst some other, may attract other types. Wouldn't it be awesome to get a visual big picture of bird statistics that may help us improve our garden and the "bird wildlife community" as a whole? ("If we cannot measure, we cannot manage").

Inspiration: In the UK, there is this intuitive organised by RSPB (a charity) called The Big Garden Birdwatch (https://ww2.rspb.org.uk/get-involved/activities/birdwatch), aiming to do exactly that - "Count the wildlife that's counting on you. We'd love to know what you saw during Big Garden Birdwatch". The way it works: you spend a day with your loved ones, sitting by the garden, watching wildlife (primarily birds) coming in and out, and jot down what you see. You then submit the survey result via the web portal - contributing in building that big picture of "the bird wildlife community".

The Problem: not everybody has the time to participate, or the bird identification skills - and as a result, vital bird statistics collection opportunity may be lost, or birds being mis-identified.

So here's an idea - A network of local RealSense Cameras sitting on small form factor computers that poll and feed wildlife statistics of our back gardens onto a cloud server, where data maybe stored, analysed, visualised, and used for education.

Could we add AI recommendation (e.g. this is how to increase your chance of getting 50% more birds and reduction of garden pests... etc). Could we integrate some kind of auto bird recognition software? Include sound recording too? Time of day? Temperature and humidity? Sensors and Actuators? The possibility is infinite... maybe start simple and stupid, then go complicated and clever?

What will you make.

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Johnny C. added photos to project The Small Garden Birdwatch

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The Small Garden Birdwatch

Despite urbanisation, our back garden silently provides wildlife a chance to recuperate from our harsh urban landscape. Birds are able to fly into our garden - pecking away seeds from birdfeeders; pulling out and sucking worms from the soil; sneakily hunting bugs (that enjoy sticking onto plants and composts) for "yummy" snacks; having a wash by the pond; and even just sitting around sunbathing.

Some gardens attract certain types of birds, whilst some other, may attract other types. Wouldn't it be awesome to get a visual big picture of bird statistics that may help us improve our garden and the "bird wildlife community" as a whole? ("If we cannot measure, we cannot manage").

Inspiration: In the UK, there is this intuitive organised by RSPB (a charity) called The Big Garden Birdwatch (https://ww2.rspb.org.uk/get-involved/activities/birdwatch), aiming to do exactly that - "Count the wildlife that's counting on you. We'd love to know what you saw during Big Garden Birdwatch". The way it works: you spend a day with your loved ones, sitting by the garden, watching wildlife (primarily birds) coming in and out, and jot down what you see. You then submit the survey result via the web portal - contributing in building that big picture of "the bird wildlife community".

The Problem: not everybody has the time to participate, or the bird identification skills - and as a result, vital bird statistics collection opportunity may be lost, or birds being mis-identified.

So here's an idea - A network of local RealSense Cameras sitting on small form factor computers that poll and feed wildlife statistics of our back gardens onto a cloud server, where data maybe stored, analysed, visualised, and used for education.

Could we add AI recommendation (e.g. this is how to increase your chance of getting 50% more birds and reduction of garden pests... etc). Could we integrate some kind of auto bird recognition software? Include sound recording too? Time of day? Temperature and humidity? Sensors and Actuators? The possibility is infinite... maybe start simple and stupid, then go complicated and clever?

What will you make.

Profile pic

Johnny C. added photos to project The Small Garden Birdwatch

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The Small Garden Birdwatch

Despite urbanisation, our back garden silently provides wildlife a chance to recuperate from our harsh urban landscape. Birds are able to fly into our garden - pecking away seeds from birdfeeders; pulling out and sucking worms from the soil; sneakily hunting bugs (that enjoy sticking onto plants and composts) for "yummy" snacks; having a wash by the pond; and even just sitting around sunbathing.

Some gardens attract certain types of birds, whilst some other, may attract other types. Wouldn't it be awesome to get a visual big picture of bird statistics that may help us improve our garden and the "bird wildlife community" as a whole? ("If we cannot measure, we cannot manage").

Inspiration: In the UK, there is this intuitive organised by RSPB (a charity) called The Big Garden Birdwatch (https://ww2.rspb.org.uk/get-involved/activities/birdwatch), aiming to do exactly that - "Count the wildlife that's counting on you. We'd love to know what you saw during Big Garden Birdwatch". The way it works: you spend a day with your loved ones, sitting by the garden, watching wildlife (primarily birds) coming in and out, and jot down what you see. You then submit the survey result via the web portal - contributing in building that big picture of "the bird wildlife community".

The Problem: not everybody has the time to participate, or the bird identification skills - and as a result, vital bird statistics collection opportunity may be lost, or birds being mis-identified.

So here's an idea - A network of local RealSense Cameras sitting on small form factor computers that poll and feed wildlife statistics of our back gardens onto a cloud server, where data maybe stored, analysed, visualised, and used for education.

Could we add AI recommendation (e.g. this is how to increase your chance of getting 50% more birds and reduction of garden pests... etc). Could we integrate some kind of auto bird recognition software? Include sound recording too? Time of day? Temperature and humidity? Sensors and Actuators? The possibility is infinite... maybe start simple and stupid, then go complicated and clever?

What will you make.

Profile pic

Johnny C. added photos to project The Small Garden Birdwatch

Medium 04ea6ba6 45c0 46cb 97b9 fb95610e6f1c

The Small Garden Birdwatch

Despite urbanisation, our back garden silently provides wildlife a chance to recuperate from our harsh urban landscape. Birds are able to fly into our garden - pecking away seeds from birdfeeders; pulling out and sucking worms from the soil; sneakily hunting bugs (that enjoy sticking onto plants and composts) for "yummy" snacks; having a wash by the pond; and even just sitting around sunbathing.

Some gardens attract certain types of birds, whilst some other, may attract other types. Wouldn't it be awesome to get a visual big picture of bird statistics that may help us improve our garden and the "bird wildlife community" as a whole? ("If we cannot measure, we cannot manage").

Inspiration: In the UK, there is this intuitive organised by RSPB (a charity) called The Big Garden Birdwatch (https://ww2.rspb.org.uk/get-involved/activities/birdwatch), aiming to do exactly that - "Count the wildlife that's counting on you. We'd love to know what you saw during Big Garden Birdwatch". The way it works: you spend a day with your loved ones, sitting by the garden, watching wildlife (primarily birds) coming in and out, and jot down what you see. You then submit the survey result via the web portal - contributing in building that big picture of "the bird wildlife community".

The Problem: not everybody has the time to participate, or the bird identification skills - and as a result, vital bird statistics collection opportunity may be lost, or birds being mis-identified.

So here's an idea - A network of local RealSense Cameras sitting on small form factor computers that poll and feed wildlife statistics of our back gardens onto a cloud server, where data maybe stored, analysed, visualised, and used for education.

Could we add AI recommendation (e.g. this is how to increase your chance of getting 50% more birds and reduction of garden pests... etc). Could we integrate some kind of auto bird recognition software? Include sound recording too? Time of day? Temperature and humidity? Sensors and Actuators? The possibility is infinite... maybe start simple and stupid, then go complicated and clever?

What will you make.

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Johnny C. added a comment on project The Small Garden Birdwatch

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The Small Garden Birdwatch

Despite urbanisation, our back garden silently provides wildlife a chance to recuperate from our harsh urban landscape. Birds are able to fly into our garden - pecking away seeds from birdfeeders; pulling out and sucking worms from the soil; sneakily hunting bugs (that enjoy sticking onto plants and composts) for "yummy" snacks; having a wash by the pond; and even just sitting around sunbathing.

Some gardens attract certain types of birds, whilst some other, may attract other types. Wouldn't it be awesome to get a visual big picture of bird statistics that may help us improve our garden and the "bird wildlife community" as a whole? ("If we cannot measure, we cannot manage").

Inspiration: In the UK, there is this intuitive organised by RSPB (a charity) called The Big Garden Birdwatch (https://ww2.rspb.org.uk/get-involved/activities/birdwatch), aiming to do exactly that - "Count the wildlife that's counting on you. We'd love to know what you saw during Big Garden Birdwatch". The way it works: you spend a day with your loved ones, sitting by the garden, watching wildlife (primarily birds) coming in and out, and jot down what you see. You then submit the survey result via the web portal - contributing in building that big picture of "the bird wildlife community".

The Problem: not everybody has the time to participate, or the bird identification skills - and as a result, vital bird statistics collection opportunity may be lost, or birds being mis-identified.

So here's an idea - A network of local RealSense Cameras sitting on small form factor computers that poll and feed wildlife statistics of our back gardens onto a cloud server, where data maybe stored, analysed, visualised, and used for education.

Could we add AI recommendation (e.g. this is how to increase your chance of getting 50% more birds and reduction of garden pests... etc). Could we integrate some kind of auto bird recognition software? Include sound recording too? Time of day? Temperature and humidity? Sensors and Actuators? The possibility is infinite... maybe start simple and stupid, then go complicated and clever?

What will you make.

Medium profile pic

Johnny C. created project The Small Garden Birdwatch

Medium e95ca34b 0975 4a0d 9802 1fe45dce5ba9

The Small Garden Birdwatch

Despite urbanisation, our back garden silently provides wildlife a chance to recuperate from our harsh urban landscape. Birds are able to fly into our garden - pecking away seeds from birdfeeders; pulling out and sucking worms from the soil; sneakily hunting bugs (that enjoy sticking onto plants and composts) for "yummy" snacks; having a wash by the pond; and even just sitting around sunbathing.

Some gardens attract certain types of birds, whilst some other, may attract other types. Wouldn't it be awesome to get a visual big picture of bird statistics that may help us improve our garden and the "bird wildlife community" as a whole? ("If we cannot measure, we cannot manage").

Inspiration: In the UK, there is this intuitive organised by RSPB (a charity) called The Big Garden Birdwatch (https://ww2.rspb.org.uk/get-involved/activities/birdwatch), aiming to do exactly that - "Count the wildlife that's counting on you. We'd love to know what you saw during Big Garden Birdwatch". The way it works: you spend a day with your loved ones, sitting by the garden, watching wildlife (primarily birds) coming in and out, and jot down what you see. You then submit the survey result via the web portal - contributing in building that big picture of "the bird wildlife community".

The Problem: not everybody has the time to participate, or the bird identification skills - and as a result, vital bird statistics collection opportunity may be lost, or birds being mis-identified.

So here's an idea - A network of local RealSense Cameras sitting on small form factor computers that poll and feed wildlife statistics of our back gardens onto a cloud server, where data maybe stored, analysed, visualised, and used for education.

Could we add AI recommendation (e.g. this is how to increase your chance of getting 50% more birds and reduction of garden pests... etc). Could we integrate some kind of auto bird recognition software? Include sound recording too? Time of day? Temperature and humidity? Sensors and Actuators? The possibility is infinite... maybe start simple and stupid, then go complicated and clever?

What will you make.

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Johnny C. created project Two-way Panic Button and Buzzer with Intel Edison, NodeRed Restful API, Arduino Grove Sensors

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Two-way Panic Button and Buzzer with Intel Edison, NodeRed Restful API, Arduino Grove Sensors

Problem and Solution:

(1) Imagine your Grandma visits your house over a weekend.

(2) You sleep upstairs whilst grand-ma sleeps downstairs.

(3) At 3am in the morning when everybody are asleep, Grandma feels ill and require urgent help.

(4) Grandma presses the "Panic button" by her bed.

(5) A buzzer is "buzzed" upstairs.

(6) You wake up from your sleep, quickly run downstairs, and help out grandma urgently.

(7) A potential fatal situation is prevented.

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Johnny C. added photos to project Water Leakage Early Warning System with Intel Edison, NodeRed, Bluemix Cloud, Twilio

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Water Leakage Early Warning System with Intel Edison, NodeRed, Bluemix Cloud, Twilio

Problem and Solution:

(1) Imagine you (home owner) and your family, is away on a 2-week holiday.

(2) While you are away there is a small water leakage (say, somewhere just under the kitchen sink!).

(3) A water sensor detects the sudden change of water content around that local region.

(4) A text alert (or whatever alerting mechanism) is sent to you, your trusted friend who live nearby, the insurer (e.g. Allianz), and the delegate plummer (e.g. Allianz's assisted service department).

(5) While you and your family are still away, your friend, insurer and the plummer work together, get that leakage fixed (with cost all sorted out at the insurer's side)

(6) A potential devastating damage is caught and prevented early.

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Master in Computer Engineering by USP and MSc. in Computer Engineering by Politecnico di Milano. Winner of some awards as TNW - Hack Battle Latin America, Top10 projects with Badaboom in Intel Perceptual Challenge Brazil in 2013 and was the first Brazilian "Intel Innovator" in 2014. He founded in 2012 the Naked Monkey Games, that has pivoted to VRMonkey in 2015.

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Pooja Baraskar

Pooja Baraskar is an Intel Innovator and Microsoft MVP. She is a Microsoft Certified Professional and C# specialist. She enjoys developing games rather than playing. She has develped many apps and games for Windows Store and Tizen Store. Her current interest is Internet of Things, hence won Microsoft Internet of Things competition and has been awarded at Azure Conference 2015 Pune also all her articles at CodeProject are prize winning. Recently she has been awarded as the Most Valuable Blogger by DZone. Know more about Pooja from her blog http://poojabaraskar.com/

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Peter Ma has been a software developer for more than 12 years. He was involved in many startups and projects that pushed the envelope of innovation. His accomplishments include speaking about mobile apps at TEDGlobal 2010. He also won the 2015 AT&T Developer Summit grand prize. In 2016, Peter gave Secretary of State John Kerry a demo of Anti-Snoozer, a drowsy detection system that leverages both Intel® EdisonTM board and Intel RealSense technology. He is part of Intel Software Innovator. Innovator.

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