Open Source and rapid prototyping puts the Magic in Magical Products. How to take an IoT concept from Paper to a Successful Product in less than 6 months, repeatedly! ------------ Makers leverage Open Source to benefit from a great of deal of already done work in open source HW and open source SW space to make things. With rapid growth of open source prototyping platforms, it has become incredibly easier to prototype and bring IoT concepts to life. This has made going through the cycle of "Design / Build / Measure" which is key to creating great products, incredibly fast and viable for all product innovation and development teams, whether in startups or large companies. This Hands-on talk touches both the Design and Technical sides of leveraging Open Source for getting IoT products right. It additionally discusses how to bring IoT ideas to life quickly using cost effective and ready to use Open Hardware Sensors and components and Open Source Software.

1. Putting Magic in Magical products
Bringing to life IoT IDEAS With rapid prototyping
MOE TANABIAN
VP of Engineering | Head of IoT Innovation Lab
Samsung Electronics

2. ABOUT ME
MOE TANABIAN
Vice President of Engineering,
Head of Smart Things IoT Innovation Lab
Samsung Electronics, San Jose, CA
16 years of industry experience in building and
launching CE, Mobility and Wireless products in
companies such as Samsung, Amazon, Nortel
2!

3. Product Innovation – The Maker Way
Silicon Valley way of Innovation by Tinkering, Hacking and Making
Moe Tanabian - Head of Samsung Smart Things IoT Innovation Lab in the Bay Area

4. 4!
What
is
this
“Maker”
thing?

5. Visionary
products
are
NOT
envisioned
over-­‐night
5!

6. Then
how
are
great
new
products
born?

7. 7!
It
all
starts
with
a
burning
desire,
a
missing
piece
–
Why
can’t
we
do
“THIS”

8. And
-­‐
is
this
a
material
addressable
market
with
growth
potenHal?
8!
2015 2018

9. Our
core
tenets
of
product
innovaHon
9!
X-­‐Device
Experiences
Indiscernible
UI
Superb
SIMPLE
Experience
Seamless
D2D
experiences
across
Samsung
devices
Dras5cally
Simple
UX
–
AQracHve,
Natural
design
Sensor,
Context,
Machine
Learning
–
enable
minimal
to
No
UI
UX

10. Our
product
development
is
Market
Driven
10!
Enabling
Technology
Team
Product
Development
Team
Market based IoT based
Innovative Products
Market & Product
needs & insight
(what technologies we need to focus on)
Enabling Technologies
(COMM, SEN, SVC, ML, SEC)
+
=
Beautiful simple
Smart products

11. If
all
YES,
Then
we
get
together
and
beat
the
h^%$
out
of
it
11!

12. Then
we
do
the
IniHal
coarse
designs
12!

13. More
refined
designs…
13!

14. And
then
we
Make
stuff
14!

15. And
we
Write
code…
15!

16. Test
and
Iterate
through
designs…
16!

17. Make
more
stuff…
17!

18. Write
more
code…
18!

19. Test
again
the
design
for
UX,
and
Technical…
19!

20. We
do
this
cycle
of
Make
!
Test
!
Validate
a
few
(~6-­‐15)
Hmes
(each
taking
2-­‐3
weeks)
20!

21. And
finally….
21!

22. Finally
we
demo
and
handover
to
HQ
22!

23. So,
What
is
the
core
of
how
we
do
things?
23!

24. Tenets
of
Successful
Making
–
how
to
make
this
happen
24!
1 2 3
Mix of Design &
Technology
Rapid Iterations Duality of skills in x-
Functional Small
Teams

25. 25!
1
Mix of
Design and
Technology in
thinking &
Making

26. 26!
2
Rapid Iteration
over Ideate /
Make / Pivot

27. 2
Also Worth reading

28. 28
BACKUP
SLIDES
Moe Tanabian
@motanabian
www.linkedin.com/in/mtanabian/

29. 29
Building IoT Products
With RAPID PROTOTYPING using Open HW and SW

30. ABOUT ME
30!
Rapid prototyping puts the magic in magical products
1. Rapid
Prototyping
is
fundamental
to
Innova5on
and
Disrup5on
2. This
applies
even
more
to
IoT,
since
almost
always
HW
ins
involved

31. OUTLINE
31!
Design Success Factors
For IoT products

32. • Connected
• Senses & reacts; can enable action proactively
• Often limited IO capabilities
• Best designed when user does not notice them
• Part of human spaces: On-body, Living, Office,
Transportation
32!
CHARACTERISTICS OF IoT Devices

33. 33!
OOBE ( Out Of Box Experience)

34. SOCIAL WEIGHT
SW = CL + PP + SC
CL → cognitive load
PP → physical presence
SC → social convention
34!
Source:A.
Toney,
B.
Mulley,
B.
H.
Thomas,
and
W.
Piekarski,
“Social
weight:
designing
to
minimise
the
social
consequences
arising
from
technology
use
by
the
mobile
professional,”
Personal
and
Ubiquitous
Compu5ng,
vol.
7,
no.
5,
pp.
309–320,
2003.

35. SOCIAL WEIGHT
CL: •••
PP: ••••
SC: •••••"
CL: ?
PP: ••••••••••
SC: ••••••••••••••
35!
CL: Cognitive Load -- PP: Physical Presence -- SC: Social Convention
CL: •
PP: •
SC: •"

36. CL: Cognitive Load -- PP: Physical Presence -- SC: Social Convention
CL: ••••
PP: ••••••
SC: ••"
CL: ••••
PP: ••••••
SC: ••"
CL: •••••••
PP: ••
SC: ••••"
36!
SOCIAL WEIGHT

37. CL: Cognitive Load -- PP: Physical Presence -- SC: Social Convention
CL: •
PP: •••
SC: •••"
CL: ••
PP: ••
SC: ••"
CL: •
PP: ••••
SC: ••••••"
37!
SOCIAL WEIGHT

38. OUTLINE
38!
Connectivity and sensors

39. Mesh
Data
Audio
Video
State
Bluetooth
N
Y
Y
N
N
BLE
N
N
N
N
Y
Wi-­‐Fi
~Y
Y
Y
Y
N
Wi-­‐Fi
Direct
N
Y
Y
N
N
ZigBee
Y
N
N
N
Y
ANT
N
N
N
N
Y
State:
Low
bandwidth,
Low
Latency,
Low
Power
Data
Source: IEEE
39!
CONNECTIVITY AND SENSORS –

40. 40!
What do you need?
• Easily accessible GPIO’s (for Analog and Digital I/O)
• A computing environment to run IP and HTTP stack
• A means to connect to easily communicate between 1 and 2, decent
speed and RAM
Computing modules –
ARTIK Platform

41. 41!
• PIR senses motion from reading heat signature changes in the
environment
• Widely available, los cost
• Slow reaction speed (<1Hz)
SENSORS – PIR
SENSORS – PIR

42. 42!
PIR sensor breakout board– Parallax 555-28027
• Analog or Digital (Schmitt-triggered) output
• Different view angles based on Fresnel lens used
• Use a normal GPIO to read
• You can deduce movement direction, distance, mass
and speed with a array of PIR sensors
SENSORS – PIR

43. 43!
• Two types: Resistive and LED (photo diode)
• LED based better responsive
• Great for detecting proximity and ambient light
SENSORS – PIR
SENSORS – ALS
VCC: 5V
Incandescent Light
Florescent Light

44. 44!
ALS sensor breakout – TEMT 6000
• Needs power and outputs Analog
• Connects to an Analog GPIO
• Out put voltage changes depending on the amount of
ambient light
SENSORS – ALS

45. 45!
• High sensitivity
• Needs gain controller
• Capacitance based
SENSORS – PIR
SENSORS – MIC

46. 46!
Electret Microphone
• Low cost
• Needs a pre-Amp
• Use an Analog GPIO to feed the audio signal
SENSORS – MIC

47. 47!
• Detects the proximity range
• RS-232 interface
• Available for different field of views
SENSORS – PIR
SENSORS – Ultrasound

48. 48!
Ultrasound range finder – MaxSonar-EZ1
• Output: Analog or Digital (Serial)
• Fairly accurate
• Use a digital GPIO to read RS-232
SENSORS – Ultrasound

49. 49!
Temperature sensor– DHT22
• Output: Digital
• Use an digital GPIO to read
• Read frequency <1Hz
SENSORS – Temperature and Humidity

50. OUTLINE
50!
Reference design for
IoT device

51. 51!
MCU / Application
Processor
Power
Management
Storage
eMMC
UI
Button
Sensors
Wireless Battery
I/O
uUSBDisplay
1-1.5” OLED
Smart watch

52. Application
Processor
BLE
Transceiver
Wi-Fi
Transceiver
Audio AMP
& Codec
Accelerometer
Magnetic sensor
GPS
Receiver
Gyroscope
Graphics
Processor
(GPU)
Display
1-1.5” LCD, OLED
MEMORY
eMMC
Power
Manager
IO
(USB)
Camera
CCD/CMOS
(sensor)
AFE
52!
Wearable camera

53. 53!
Application
Processor
Load control
Circuit
Relay
Display
Flash
Audio
BLE or
ZB
Wi-Fi
Memory
Capacitive
Touch
Sensor
PIR sensors
(Analog or Digital)
MCU
ALS
(Ambient Light
Sensor)
Triac
dimmer
Load
driver
Smart light bulb or switch
GPIO

54. 54
BACKUP
SLIDES
MOE TANABIAN
@montanabian
www.linkedin.com/in/mtanabian/

55. 55
Moe Tanabian
@motanabian
http://www.linkedin.com/in/mtanabian
mometan@gmail.com
55!