With Connected Devices Leveraging Internet of Things

with connected devices

Frank Callewaert - Global Technology Strategist This Photo by Unknown Author is licensed under CC BY-ND Microsoft IoT Viewpoint

2 …IoT enables an eCustoms and eTrade business revolution, enabled by technology Waves of Innovation Cloud Globally available, unlimited compute resources

IoT Harnessing signals from sensors and devices, managed centrally by the cloud

Edge Intelligence offloaded from the cloud to IoT devices

AI Breakthrough intelligence capabilities, in the cloud and at the edge Internet of Things is everywhere Augmented reality Smart grids Multilayer QR - RFID

Agriculture Buildings Airplanes Livestock Auto Construction Surveillance

Workspaces Charging Location Buses Sports stations Trains Worker Safety Racing

Elevators

Security Pets Vending Medical devices Subways Factories

Shopping Power Plants Equipment Engines Vaccine Manufacturing Traffic Systems dispensers

Postboxes Communications Weather Systems Shipping wearables Smart meters Trucks Smart Seals Freight Drones Public Safety Internet of Things is big

80 billion connected “things” by 2025 - IDC

70% 180 zettabytes digital data by 2025 - IDC value enabled by IoT from B2B scenarios - McKinsey and Company $457 billion global IoT market by 2020 - Gartner A Simple View of an IoT Solution

Things Data & Insights Actions A More Realistic View…

Data storage Deployment Enterprise integration Cloud-to-device Business process integration commands Cold path analytics Device recovery Solution scale Operations monitoring Cost management Internationalization High availability Updating devices Provisioning Warm path analytics devices Device lifecycle Transport protocols Hot path analytics Drivers Things Data & Insights Actions Device updates Disaster recovery Data ownership < ---- End-to-End Security ---- > On device analytics Data visualization Industry and government compliance HW certification Manufacturing scale Device commercialization Securing data … and why IoT needs simplifying Intelligent Cloud

Intelligent Edge

A new Azure Sphere OS secured by Microsoft for the devices 10-year lifetime to create a trustworthy platform for new IoT experiences. GPL’d OSS Linux kernel

A new Azure Sphere class of MCUs, from silicon partners, with built-in Microsoft security technology provide connectivity and a dependable Azure Sphere hardware root of trust

The Azure Sphere Security Service guards every Azure Sphere device; it brokers trust for device-to-device and device-to-cloud communication, detects emerging threats, and renews device security end-to-end solution for securing MCU powered devices 13 IoT in every phase of the eCustoms & eTrade Experience Journey

API economy and Dynamic pricing of Best offer Public portal micro-services owned services prediction for freights Customer self-service B2B process and Offerings definitions information tracking Profile Customer and service quotation augmentation relationship

Multi-modal freight Service contracts Door-to-door End-user final services forecast and agreements delivery Lifts predictive Skype bots for (moving/relocation) Electronic customer services Multi-customer documents maintenance Nationalization/ Claims and Inquiries parcel consolidation Understanding Metadata Port/out-of-port/free- customs Beacons and sensor in customer needs extraction zone storage containers/parcels for value Sentiment Delivery and validation of added services for end- analysis on calls BI & ML for demand preliminary documentation `Document customers forecasting digitalization and Automatic validation and Truck/vans/lifters traffic Cargo leaves OCR metadata in port/warehouses to port area fraud detection/prevention recognition Cargo release Prospecting detect patterns and Uberization of customer and optimize operations trucks/vans services Container return consumer Delivery of goods Free containers BI & ML for and documentation recycle prevention e-Invoicing market analysis Digital signatures Final cargo social listening Billing and Billing and payment storage Crowd shipping advancement payment ETA for trucks/vans Financial services Modal exchange and complementary services Arrival to Crane predictive Billing and payment Digital sensors destination maintenance e-Payments on containers Provision of container Padlocks & GPS in and cargo consolidation containers for real time Locking y traceability tracking and security Digital tracking of containers of containers Sea transportation Fleet value added services Entrance to port area Modal exchange and ETA prediction for complementary services containers Anomalies detection Cargo tracking Livestock & Pets Pets Livestock Freight Airplanes Buses Fleet monitoring Origin Tracking Predictive maintenance Health & Vaccines Arrival predictions Tracking of Trucks Trains Transport conditions Vaccinations Shipping timber/lumber Location Intelligence for Transportation Smart seals Location Traffic Systems Engines Digital Twins

Public Safety Surveillance Security Augmented reality

Communications Drones Equipment Warehouse Worker Safety Wearables

Identify and monitor threats Internet of Things for eCustoms Site Security and Surveillance Car plate – Container identification Traceability from producer to Buyer People traceability– Site access control Food Safety Movement Pattern detection Multilayer Origin Tracking - Quality attestation MFA and Smart Badging Smart Seals Factories QR – RFID Counterfeit & Fraud detection 100% Scanning Multilayer QR & RFID Warehouse Stocking conditions Smart seals Agriculture Port Cranes Buyer Augmented Reality Digital Twins Internet of Things for eCustoms Challenges and Solution 2/3 Traceability of wood

Hammered Cut Stocking Transportion Processing Production and End user in sawmill selling An Read RFID1, Read RFID2, Reads RFID2 Reads RFID2, process Applies tags on the Reads to verify georeferenced set RFID2 with verify the and applies other tags finished products traceability

steps RFID1 is info from transacion and on precious wood cuts applied to the individual cut route the piece

tree

actor

Multi

tag -

QR code barcode QR code barcode

Multi

device

- Multi How it is done in the field How it is done in the field

Uses RFID TAGS to identify the tree and the individual cuts RFID reader sync. via bluetooth with smartphone App that lets reference the biometric characteristics of the plant and georeferencing it and the individual cuts

Validate your product’s authenticity DoubleTrust A multi-layer QR Code label with special chemistry Before After Top (red) layer Bottom (yellow) layer

Manufacturer Prescription processor Carrier 1 The drugs originate from the The drugs packaged according to the The product is securely pharmaceutical manufacturer appropriate dosage and sealed with 3M shipped with QR codes DoubelTrust, multilayer QR code labels verifying transfers at each step

Warehouse The product is again verified and stored in the appropriate, secure environment Carrier 2 Carrier 2 scan confirms receipt of Retail store 1000 authentic bottles with 100 bottles are rejected before shelving verified QR codes due to incorrect QR codes

The integrity of the product have been violated. Carrier 2 is liable for penalty as the amount of Drug A when it reached the retail store was less than the Smart Contract was tracking SHARED LEDGER Smart Contract created Carrier 1 Warehouse Carrier 2 Retail store 1000 units of Drug A 1000 units of 1000 units of 1000 units of 900 units Drug A Drug A Drug A of Drug A At various points in the journey, the IoT device scans the QR codes and records the unique serial numbers which are updated on the blockchain IoT, Big Data and AI Machine Learning finds patterns in data then uses those patterns to predict the future Microsoft’s approach to AI deployment Technology can perceive the world

Perception Comprehension

24 Visual Recognition Intelligent Service makes it easy to build a custom image classifier. For example: • Identify whether a photo includes a picture of your product • Differentiate between genuine versus counterfeit https://visionaidevkit.com/

INTRODUCING CORSYS: THE FUTURE OF SECURITY OPERATIONS

THE OVERALL PLATFORM – DIGITALLY ACCELERATING YOUR OPERATIONS

CASE OPERATIONS 01 MANAGMENT 02 PROFILER 03 DECISION CENTRE 04 OPTIMISER

SPLIT INTO 5 RISK CATEGORIES, CUSTOMISABLE TO SPECIFIC PORT PROCESSES

NON-PHYSICAL ANALYSIS & INSPECTION AUTOMATED RISK TOOLS CASE PATHWAY CREATION ASSIGNMENT COMMON 05 OPERATIONAL VIEW MACHINE ASSISTED MANUAL 06 INTELLIGENCE CASE CREATION CONFIRM/ OVERRIDE RISK PATHWAYS 3RD PARTY INGESTION

Cases ingested from AI and ML algorithms suggest Customs officers either confirm or override the All data feeds into a single view for supervisors to various sources, along a risk level for each case. The suggested risk levels from the profiler engine, these risk understand and control current operations, and an with additional data system learns from itself using levels correlate to various action pathways depending on optimiser to make the best use of available resources. from other sources verdicts from processed cases what inspection processes your port has available Case verdicts feed back to the ML algorithm

smithsdetection.com 29 INTRODUCING CORSYS: THE FUTURE OF SECURITY OPERATIONS

WHICH CAN ADAPT TO DELIVER NEW AVIATION / AIR CARGO CONOPS

CASE Profiler produces risk assessment score for each parcel based on the information captured 01 MANAGMENT 03 PROFILER 06

Building a trusted AI assisted Machine Learning Algorithm that could support future business model change – Scan all Scan some? MACHINE ASSISTED INTELLIGENCE AIRWAY BILL OPERATIONS DECISION CENTRE COMMON + 02 OPTIMISER 04 05 OPERATIONAL VIEW 3RD PARTY DATA Each parcel is routed to Airway bill and other 3rd different party data sent in advance process of shipment. according to decision centre outputs All captured data processed through operations optimiser TRUSTED SHIPPER

DOCUMENTATION ANOMALIES

RECHECK SCAN/TRACE INSPECT DASHBOARD

PHYSICAL INSPECTION

Dashboard provides real-time BI Decision centre gives officers full control and information via stream analytics, with PARCEL IS NOW READY TO LOAD visibility over decision making based on WEIGHTS & all results fed back into Profilers’ PARCEL ARRIVES X-RAY profiler scores ONTO AIRCRAFT FOR SHIPMENT DIMENSIONS machine learning

smithsdetection.com 30

Azure Intelligent Edge + broad Intelligent Cloud Taxonomy

Sensors + Control Sensors to Interactive Integrated Platform Global scale processing

Microcontroller IoT Devices Edge Devices Edge Appliances Edge Stack Hyperscale Cloud Azure Sphere Azure IoT Device SDK Azure IoT Edge Azure Data Box Edge Azure Stack Edge Regions • Devices that aggregate, • Integrated appliances that • Scalable solutions that • First-party cloud regions • Integrated Circuit designed to • Endpoint devices such as process & provide provide a subset of cloud provide a full cloud stack, govern a specific operation in appliances, vehicles, or • Full Range Hyperscale Cloud gateway capabilities for edge roles, such as ML- including IaaS and PaaS an embedded system factory machines that Services IoT endpoints inferencing capabilities • Highly-secured, connected connect, interact and • Tiered Service availability: • Deploy and manage Azure • Data Box Edge: AI-Enabled, • Edge and Disconnected MCU exchange data Heroes > Hubs > Satellites Services in containers on Storage and compute Scenarios • Azure Sphere Linux OS for • 1000+ devices • Open Source Based Services & any IoT device Azure Edge appliance • Regulatory Requirements modern MCUs • 250+ partners Tools • AI, AzureML, Azure Stream • Data Box: Offline, • Cloud app model on- • Included Azure IoT Device SDK • All certified to work great Analytics and more ruggedized data transport, premises with Azure IoT Hub 100 TB – 1 PB

Most specialization Full Spectrum of Cloud + Edge Form Factors Fewest form factors Fewest services Intentional & Appropriate Azure Service Availability Most services Microsoft has all the pieces to meet Customs and Industry IoT needs

Comprehensive Open platform with Leading Extensive partner Large-scale IoT portfolio industry-leading Insights ecosystem experience security

Only hyperscale cloud Any device, OS, data Gartner MQ leader Unique programs & Delivering powerful, vendor to offer SaaS, source and end-to- BI and Analytics industry leaders ready user-friendly PaaS and hybrid end security Platforms to collaborate with solutions at scale solutions for IoT your business Download the white paper and learn how to get more value from the Internet of Things.