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CASE STUDIES BRINGING ADVANCED MEMS TECHNOLOGIES FROM CONCEPT TO MARKET MARCELLINO GEMELLI BUSINESS DEVELOPMENT BOSCH SENSORTEC

Transcript of CASE STUDIES - sites.ieee.orgsites.ieee.org/scv-mems/files/2018/03/Bosch-Sensortec-Bringing... ·...

CASE STUDIES

BRINGING ADVANCED MEMS TECHNOLOGIES FROM CONCEPT TO MARKET

MARCELLINO GEMELLIBUSINESS DEVELOPMENTBOSCH SENSORTEC

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But sensing everything in multiple and complex environments bears a lot of challenges…

IoT is about making life simpler and more exciting. Everything should be “Simply. Connected“ for the user.

Role of smart sensors in the IoT

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Driving innovation and cooperation: building sensor solutions

▶ Overcoming the challenge of TECHNOLOGY− Leverage CORE MEMS- and system know-how− Size, power, performance, embedded intelligence

▶ Overcoming the challenge of FRAGMENTATION− Platform solution with hardware and software− APPLICATION know-how in the Bosch Group− Application-specific software, e.g. AR/VR/PDR

▶ Overcoming the challenge of COMPLEXITY− From components to systems and solutions− Simple design and TURN-KEY solution− COOPERATION with third parties, reference designs

Smart sensors are sensing our world in multiple and complex environments, allowthings to be “Simply.Connected.” and act as the enablers of the IoT.

Role of smart sensors

► Information (Analytical data processing)► User activity (quantified)► User environment status (altitude, temperature...)

► Decision (Based on own & connected data)► Weighted activities scenarios (predictions)► Weighted context scenarios (predictions)

► Interpreted Data (Comparative data processing)► Pattern detection► Simple event trigger

► Processed Data► Filtered► Compensated► Corrected

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Information hierarchy in sensors

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IoT System Drivers Pull in Different Directions

LatencyC

loud Storage

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Case Study 1 – Power Management System challenges Always-on, battery-operated/energy harvested device Asynchronous wake-up motion

Solution Accelerometer with multiple interrupt modes Lowest operational power, keeps MCU sleeping

MEMS example BMA400 – Interrupt – Tap, orientation, low-g, high-g, flat, any-motion, …

LatencyC

loud Storage

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Case Study 2 – Wearables System challenges Always-on, battery-operated, multimode Complex, programmable gesture recognition

Solution Low power programmable motion hub, secondary interfaces Always-on processing offloaded from main CPU

MEMS example BHA250, BHI160 – Ultra low power processor

LatencyC

loud Storage

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Case Study 3 – Robotics, Drones System challenges Accurate, high performance fusion Integrator focuses on use case

Solution Turnkey motion solution Fusion software doesn’t interfere with application

MEMS example BNO055, BNO080 – 9 axis with sensor fusion core BMF055 + BMP380 – 10 axis flight control with height stabilization

LatencyC

loud Storage

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Case Study 4 – AR and VR System challenges Minimum/no drift, zippy response Low latency, high performance fusion

Solution Accurate, stable gyro Fusion software tightly coupled with sensors

MEMS example BMI080+BMM150, BNO080 – Sensor solutions built around lowest drift gyro

LatencyC

loud Storage

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Case Study 5 – Industrial System challenges Detect sporadic motion anomalies Predictive maintenance, decrease downtime

Solution Low sensitivity to PCB bending, temperature variation Design guidelines

MEMS example BMA456 – low offset, low noise accelerometer

LatencyC

loud Storage

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Case Study 6 – Rapid prototyping System challenges Short development time Explore system design with limited sensor knowledge

Solution Simplify integration by providing sensor boards for diverse platforms Plug-in modules to Arduino, mikroBUS™, M2.COM, LaunchPad™,…

MEMS example BME680, BNO055 modules – Environmental and motion solutions

LatencyC

loud Storage

The Next Frontier

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Instinctive Machines

The Next Frontier

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Instinctive Machines

The Next Frontier

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Cognitive and Limbic Systems

- The place that hosts cognitive intelligence- Long latency & high computing power- Big-Data Database access (memory)

Cognitive Component

- Immediate reaction (reflex)- Always on (vigilant)- Locally contained behavior (analysis & decision)

Limbic Component

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Perceptrons in Hubs Sensor “Bots”

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P2

P3

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α2

α3

1α P1 αP22 αP33+ + { ><

TT

“1”“0”

The Next Frontier

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Bosch MEMS sensors – The hidden champions of your everyday life

Marketing | 2/28/2018© Bosch Sensortec GmbH 2017. All rights reserved, also regarding any disposal, exploitation, reproduction, editing, distribution, as well as in the event of applications for industrial property rights.

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Calorietracking

Step counting

Sleep monitoring

Asset tracking

Intrusion detection

Augmentedreality

Step countingIndoor/outdoor

navigation

Calorietracking

Indoor air quality

Parking spotdetection

Bosch MEMS sensors: Enablers for the Internet of Things

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