Lights Lights Pr oduct ion & Consumpt ion TEAM USS ENTERPR - - PowerPoint PPT Presentation

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Lights Lights Pr oduct ion & Consumpt ion TEAM USS ENTERPR - - PowerPoint PPT Presentation

Lights Lights Pr oduct ion & Consumpt ion TEAM USS ENTERPR TEAM USS ENTERPR 1.2 1.2billion billion People do not waste light 2 TEAM USS ENTERPR TEAM USS ENTERPR [Source]: World Economic Forum 6.5 6.5 billion billion Contribute


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SLIDE 1

Lights Lights

Pr oduct ion & Consumpt ion

TEAM USS ENTERPR TEAM USS ENTERPR

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1.2 1.2billion billion

People do not waste light

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[Source]: World Economic Forum

TEAM USS ENTERPR TEAM USS ENTERPR

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6.5 6.5 billion billion

Contribute to excessive usage of light

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[Source]: World Economic Forum

TEAM USS ENTERPR TEAM USS ENTERPR

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$3.3 $3.3 billion billion

Cost of wasted light in U.S yearly

875 875 million trees million trees

Required to offset CO2

21 21 million tons of co2 million tons of co2

Amount of wasted light yearly in U.S is equivalent to

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[Source]: U.S. Department of Energy

TEAM USS ENTERPR TEAM USS ENTERPR

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Where is the waste from? Where is the waste from?

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Day Time Space Imagery Synthetic Aperture Radar Human Traffic Data Night Time Space Imagery

Compr ehensive M

  • del of t he Wor l d

TEAM USS ENTERPR TEAM USS ENTERPR

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SLIDE 7

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Plan of Action Plan of Action

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1) Gamify identification of inefficient light sources 2) Educate the public on responsible use of light 3) Training of Machine Learning Algorithm to identify light

sources

4) Implementation on ground based solutions

TEAM USS ENTERPR TEAM USS ENTERPR

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SLIDE 10

Customer Base Customer Base

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Our key customers would be the local Urban Planners and OEMs of Smart Infrastructure solutions

1) [Local] 110,000 Lamp Posts in Singapore 2) [Regional] 26 ASEAN Cities of the Smart Cities Network 3) [Global] 1,000 Smart Cities Projects Worldwide

[Source]: CNA, Centre for Liveable Cities Singapore, The Business Times

TEAM USS ENTERPR TEAM USS ENTERPR

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Routemap Routemap

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Game Game Development Development Artificial Artificial Intelligence Intelligence (Machine Learning) (Machine Learning) Potential Partner Cities Potential Partner Cities

  • Reduction of light

Reduction of light

  • Job creation

Job creation

  • Revenue

Revenue 2 months 2 months 4 months 4 months 6 months 6 months TEAM USS ENTERPR TEAM USS ENTERPR

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1 2

Thanks! Thanks!

ANY QUESTIONS? ANY QUESTIONS?

Let’s go light lite