Environmental IoT

project “VasP”

LET’S AVOID AIR POLLUTION FOR YOUR HEALTH

we can do it with “VasP”

VALUE OF “MICRO ENVIRONMENTAL

DATA”

imagine…

You’re plaining to play outside with your children in holiday

DANGER!DANGER!

DANGER!

DANGER!

Then, you find the air monitoring stations show like this …

What will you do?Are you staying at home? Are you going outside without

any care…?

PLEASE REMEMBER, “AIR POLLUTION CAN KILL PEOPLE”

1.6 millionpeople per year

died by Air Pollution in China17% of whole death

how about in United States?• 300,000/year : Obesity related deaths

• 101,000/year : Deaths due to lack of health care

• 88,000/year : Air pollution related deaths (reported by US EPA)

• 16,500/year : murders

• 4,300/year : pedestrians killed by automobiles

5% of whole death Is it small? or big?

+27% +10ppb“Lung cancer risk” per “SO2 density”

reported by Japanese Ministry of the Environment in 2008researched over 10 year in 3 capital cities

*10 ppb = 0.0000001%

Yearly average of PM2.5：12μg/m3 → 13μg/m3

Number of Asthma patients：46,000 → 140,000

Expectation reported by US EPA

We already had data accumulation…Why such less awareness?

↓Shortage of the data resolution

We don’t know actual situation “right here, right there”

DISTRIBUTION OF CURRENT MONITORING STATIONS

If the place taking over 1 hour driving from San Francisco City is 30% less of lung cancer risk …. Will you go there with your children just for playing at the park?

high-resolution mappingproduced by VasP

max 4.7ppm = 4700ppb difference→ lung cancer risk about x100

not 100% up , 100 times!

This is the value of “micro environmental information”

marina

near 101

Now, you can choose where you play!

*less than 1 mile between 2 places

what is “VasP”<MISSION>

gather and provide“micro environmental information”

all over the Earth

* Vehicle as Probe = VasP

VasP unitbattery

mobile network

sensorsGPS

* Vehicle as Probe = VasP

J-POP SUMMIT REVIEW8th - 9th Aug. ’15

@Fort Mason Center in San Francisco

EXHIBITION

gathered CO, CO2, NO2, Ozone, SO2, temperature, humidity, pressure, noise,

UV, ambient light by bicyclesmapped each data on web application

LRI = LIVING RISK INDEXour original index evaluating air pollution level connected with

death and disease risk

we knew mission area is better than market for living, but it’s shown as difference of “living risk”…the behavior of consumers could be changed

market

mission

MAJOR FEEDBACKS

• Recommendation to measure PM2.5 and radiation (and pollen)

• Lower awareness of environmental issues in SF (where is the best place?)

• Correlations between multiple factors might make next innovation (nobody tried)

Mr. Furukawa(former president of Microsoft Japan)

Mr. Sugano(data scientist)

BUSINESS MODEL

make profit in each directions

BUSINESS STRATEGY

vehicleoperators VasP

government/business/consumer

data

$

sensor unit

$

services

data

services

TRACTION

COLLABORATION #1“Simularity”

correlation Census data with VasP data

Startup company in Richmond City

COLLABORATION #1“Simularity”

we won the competition of Industrial Hackathon in “Meeting of Mind”

Day1 Day2

Judges: Qualcomm, Cisco, Microsoft, Richmond City

TEAM

https://www.linkedin.com/pub/yuichiro-kuzuryu-kuz/38/928/27b

yuichiro “kuz” kuzuryumaster degree of electrical engineering at Tokyo Institute of Technology in Japan

YAMAHA Corp. 8.5 yrselectrical engineer, project manager and product producer

Miselu Inc. (startup company in Silicon Valley) 3.5yrshardware architect, director of engineering

YAMAHA Motor US 0.5yrshardware engineer

embedded software engineerSIer

web application engineerproject manager

entrepreneur

CONTACT

yuichiro “kuz” kuzuryuyuichiro_kuzuryu@yamaha-motor.com

qzuryu@kuzlab.com

LinkedIn available

(APPENDIX)EXAMPLE OF TARGET MATERIALS• air pollution

• CO, CO2, NO2, O3, SO2, toluene, methan, N2O, benzene, etc.

• climate

• temperature, humidity, barometric pressure, UV, ambient light, etc.

• critical risks

• PM2.5, radiation, etc.

• smell and living comfortability

• ammonia, H2S, sound noise, etc.