Use open source and rapid prototyping to put magic in magical products in IoT
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Moe Tanabian, VP of Engineering at Samsung Electronics, outlines the process of rapid prototyping in developing IoT products, emphasizing the importance of innovation and market-driven design. The core tenets of successful product making include a mix of design and technology, rapid iterations, and cross-functional team collaboration. Features of effective IoT devices involve seamless user experiences, proactive sensing, and minimal cognitive load for users.
Use open source and rapid prototyping to put magic in magical products in IoT
- 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
- 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
- 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/