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Bringing intelligence to the internet of things Introducing the Intel® Quark™ SE Microcontroller John Moore Intel IoT Application Engineer 2nd Nov 2016 Legal Disclaimers You may not use or facilitate the use of this document in connection with any infringement or other legal analysis concerning Intel products described herein. You agree to grant Intel a non-exclusive, royalty- free license to any patent claim thereafter drafted which includes subject matter disclosed herein No license (express or implied, by estoppel or otherwise) to any intellectual property rights is granted by this document. All information provided here is subject to change without notice. Contact your Intel representative to obtain the latest Intel product specifications and roadmaps. The products described may contain design defects or errors known as errata which may cause the product to deviate from published specifications. Current characterized errata are available on request. Copies of documents which have an order number and are referenced in this document may be obtained by calling 1-800-548-4725 or by visiting: http://www.intel.com/design/literature.htm Tests document performance of components on a particular test, in specific systems. Differences in hardware, software, or configuration will affect actual performance. Consult other sources of information to evaluate performance as you consider your purchase. For more complete information about performance and benchmark results, visit http://www.intel.com/performance. Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com. Intel, Intel Quark, the Intel logo, the Intel Inside logo, Xeon, Xeon Inside, Intel Atom, Intel Atom Inside, Itanium, and Intel Xeon Phi are trademarks of Intel. *Other names and brands may be claimed as the property of others. Copyright © 2015 Intel Corporation. All rights reserved. 2 Agenda • Intel® Quark™ MCU product line • Intel IoT reference platform and where Quark fits • Quark SE features including Sensor Hub and Pattern Matching Technology • Documentation and Collateral • Parting thoughts 3 Intel® Quark™ launched Products Product Class 2015 2016 2017 2018 - Intel® Quark™ X1000 Series 400MHz X86 core, Low & High Speed Interfaces Series ProcessorU Intel® Quark™ Discrete ASSPs Discrete Intel® Quark SE Atlas Peak/Atlas Creek Platform 32MHz; 80kB/384kB, I2C, UART, ADC, SPI, USB, I2S Series Series Internal Sensing Hub, Pattern Matching Engine - Edge IOT MCUs MCUs IOT Intelligent Intel® Quark™ microcontroller D1000 32MHz, 8kB/32kB MCU MCU I2C, UART, ADC, SPI Edge Intel® Quark microcontroller D2000 Intel® Quark™ ProcessorD Quark™ Intel® IOT 32MHz, 8kB/32kB I2C, UART, DMA, PWM, ADC Leading Edge = PRQ 4 Trailing Edge = No Implication Intel® Quark™ technology connecting your things Edge analytics combines with a low-power processor for vertical industry innovation Intel® Quark™ Intel® Quark™ D2000 Intel® Quark™ SE D1000 • Ultra low power, Entry Level • High-efficiency power consumption • Ultra low power, Entry Level • 32MHz, 32-bit x86 Microcontroller, • 32MHz, 32-bit x86 Microcontroller 32kB Flash, 8kB SRAM • 384Kb Flash, 80kB SRAM • 32MHz, 32-bit Microcontroller, 32kB Flash, 8kB SRAM • Scalable Software Development Kit, • Scalable Software Development Kit, with sample apps and libraries with sample apps and libraries • Software Development Kit with sample apps and libraries • Pre-validated comms and sensor • Pre-validated comms and sensor modules modules • Pre-validated comms and sensor modules • Full Intel x86 instruction set • Full Intel x86 instruction set architecture for compatibility and architecture for compatibility and scalability scalability • Always sensing: always-listening Internal Sensor Hub • Intelligent: Pattern Matching Technology 5 Intel® Quark™ se microcontroller Block Diagram 6 Logical Definition of The Intel® IoT Platform Horizon 2: Smart and Connected Things On-Premise or Off-Premise Data Center or Cloud WiFi + LP WiFi Bluetooth + BTLE rd 3G/4G/LTE (GPRS) 3 Party Trusted Analytics Platform ZigBee, Zwave Systems (TAP). 6LoWPAN WiHART Business Sensor P D A Ethernet M RFID Stream Batch Logic & Rules A Remote Analytics Analytics Actuator C S M Control Data & Metadata Apps IoTVertical Services Sensor P D P D Orchestration M M Sensor A A S M S M Secure Network Processing Storage Infrastructure Service Brokers APIs, API Thing Security, Attestation & Libraries, SDK D L B Management Sensor P M A S M Actuator A Asset Info, Policies & Business Portal C Security Management Metadata Systems Business IT/ P M A Protocol Mapper & Adapter (formerly UPAL) Data Center Management & Security (Monitoring, Auto-scaling, Logging, C Actuation & Control S Security & Attestation Intelligent Thing Eventing) Analytics & Machine A Thing/Device Mgmt (MCU/GW Learning (Real-Time) M 3rd Party Business & ) Data Flow: MQTT, HTTPS, WebSockets, XMPP, CoAP, REST, AMQP, DDS, IoTivity, et L API’s & API Libraries B Application Agent Securityal. & Mgmt Flow: MQTT, EPID, OMA-DM, TR-069, REST, IoTivity, et al. Storage D Data Ingestion & Processing Actuation & Control Flow: MQTT, CoAP, XMPP, AMQP, DDS, IoTivity, et al. Security on all Smart Objects, Devices, Data, & Comms from Things to Cloud (Identity Protection, Integrity, Confidentiality, Trusted Execution, Attestation) 7 Intel® Quark™ SE Pattern Matching Technology End-to-End Machine Learning Solution for Edge Analytics Edge Device Server / Cloud Application Pattern Matching Engine Real-time Sensor Data Classification Model Creation & Ongoing Learning Intel® Quark™ SE Intel® Knowledge Adaptive Learning SoC Classifications + raw Builder Toolkit Quark™ CPU data from detected Developer tool enabling algorithm learning (Lakemont) anomalies uploaded to for Quark™ SE pattern recognition server Feature Engineering To CPU Modeling Testing Data Feature Feature Physical Flash Power Data Capture Set & Results Handling Generation Selection Selection Assessment, Sensor & Formatting Host & Optimizer Input(s) interface Sensor Hub USB/SPI/I2C/GPIO Internal bus OUTPUT INPUT Model Creation and Refinement memory … memory memory memory Pattern Matching Engine N 2 1 0 Initial push of model and subsequent model enhancements pushed to device with use Development Savings Of Up To 75% 2-8 months down to 3-8 weeks Identified Uncertain Pattern-Matching Engine • Three states returned by the pattern matching engine • Identification, Uncertain or Unknown.. • Two types of pattern recognition: • K-Nearest Neighbour (KNN), • Input consists of the Known closest training examples, • The entire space is mapped and with a single possible category (i.e. colour code) per position. • KNN always gives a response: Closest match (note that the shortest distance value can still be high • Radial basis function (RBF), • Depends on the distance from the origin to correctly classify new instance • The space is mapped partially with certain zones being unclassified • The zones with multiple mapping are zones of uncertainty. 9 Example: Apples and Oranges Learning Phase Apples Diameter Oranges Weight Intel Confidential – NDA Customer Classification/Recognition phase “Uncovered” areas are unknown ? Identified Overlapping areas are uncertain Diameter Weight Intel Confidential – NDA Customer Nearest neighbour & Radial Basis Function classifiers: fast algorithms for the associative memory + + ++ + + - + ? - - + ++ - - - + - ? - + - -- + -- ? - ? K-NN. Maps all feature vectors as RBF clusters feature vectors and points in a multidimensional space. creates influence fields (always return a trained class) (may return an “unknown” class) 12 Documentation and Collateral Download Intel® Knowledge Builder Toolkit • https://software.intel.com/en-us/intel- knowledge-builder-toolkit Want to develop code your self? • https://github.com/01org/Intel-Pattern- Matching-Technology Whitepapers, User Guides, Templates, Sample Code… Parting Thoughts…… Making smart decisions takes a lot of processing, which can burn a lot of power….. The Intel® Quark™ SE microcontroller tackles this power/ performance dilemma with an innovative pattern-matching engine and a smart sensor subsystem. Key questions to ask yourself about your next industrial or consumer IOT product… • Will my product have basic analytics or advanced analytics? • Is my analytics development process efficient and affordable? • Can my product easily adapt to customer demands? Intel® Knowledge Builder Toolkit Enables Efficient Development of Advanced Pattern Matching Analytics For Cutting Edge IOT Products 15 .
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