Videos

Search Videos

Skip to Videos
  • Demystifying Satellite IoT for Cellular Specialists

    Demystifying Satellite IoT for Cellular Specialists

    Learn what the key considerations are for systems integrators who are more accustomed to working with cellular networks.

  • Advantages of cellular IoT platform integration with LPWA modules in the sub-GHz stack

    Advantages of cellular IoT platform integration with LPWA modules in the sub-GHz stack

    Learn how low power wide area networks provide excellent solutions for IoT applications thanks to...

  • Cellular IoT Multi-Carrier Billing Automation, Data Usage Tracking and Invoicing

    Cellular IoT Multi-Carrier Billing Automation, Data Usage Tracking and Invoicing

    Learn about solutions that automate the billing process in a multi-carrier IoT environment. You will learn about how to improve...

  • Debunking IoT Myths: Part 2

    Debunking IoT Myths: Part 2

    IoT has rapidly evolved, promising transformative changes in various sectors. However, amidst the excitement, misconceptions about IoT are common...

  • Debunking IoT Myths: Part 1

    Debunking IoT Myths: Part 1

    IoT has rapidly evolved, promising transformative changes in various sectors. However, amidst the excitement, misconceptions about IoT are common...

  • IP vs. Messaging for Satellite Data Transmission

    IP vs. Messaging for Satellite Data Transmission

    Length: 24 minutes

    In this IoT Central webinar, learn why the fastest and easiest way to send IoT data over satellite - an IP connection - often isn't the most efficient or cost-effective route. Watch this webinar to hear satellite IoT connectivity experts Alastair MacLeod and Ric Searle explain:

    - The positives and drawbacks of using an IP connection
    - How to optimise your data to save costs and conserve power
    - The value of MQTT in improving data transfer efficiency
    - The benefits, and challenges, associated with moving to message-based data transfer

    Using the most recently available satellite airtime services, they demonstrate how to build a highly efficient connectivity infrastructure, while limiting the amount of custom development required. They conclude with recommendations based on a series of simple questions that will help anyone with a remote data transfer challenge to determine the best way forward.

    Register now to watch and earn.

    Speakers:
    Alastair MacLeod, CEO at Ground Control
    Ric Searle, Group CTO at Ground Control
  • Can 3GPP Standards Progress the Adoption of Satellite IoT?

    Can 3GPP Standards Progress the Adoption of Satellite IoT?

    Learn why satellite IoT communications has historically come with a premium price due to the high costs...

  • Better Outcomes with Remote Patient Monitoring

    Better Outcomes with Remote Patient Monitoring

    RunTime: 21 minutes
    Discover how the medical Internet of Things empowers healthcare providers with real-time data for improved decision-making.

    Watch this on-demand webinar and you will learn:

    • The benefits of remote patient monitoring for patients and providers
    • The best technologies for remote patient monitoring solution
    • How to select the right communication module and connectivity provider for your smart healthcare monitoring solution

    Register today to learn about the latest advancements in connected healthcare.

    Speaker: Carsten Brockmann, Vertical Segment Manager at Telit Cinterion

  • Challenges and Opportunities in the Age of EVs

    Challenges and Opportunities in the Age of EVs

    RunTime: 27 minutes
    Understand how the Internet of Things enables fleet management solutions for electric vehicles (EVs).

    Watch this on-demand webinar and learn:

    • How to overcome fleet telematics challenges for EVs
    • What technologies to choose for your EV fleet management solution
    • What opportunities fleet telematics offer for EVs and how to take advantage of them

    Register today to learn what you need to know about the latest in fleet telematics for EVs.

    Speaker: Jitender Vohra, Senior Director Carrier Relations at Telit Cinterion

  • Data Curation and Feature Scaling

    Data Curation and Feature Scaling

    Run Time: 19 Minutes

    In this IoT Central MicroSession with Edge Impulse, learn how to perform feature normalization and standardization prior to uploading data to Edge Impulse. This process involves calculating the mean and standard deviation of each channel and standardizing the data along a single axis to have a mean of 0 and a standard deviation of 1. The means and standard deviations will need to be recorded for inference during deployment. We use Google Colab to perform this analysis and transformation prior to uploading the data to Edge Impulse.

    Instructor: Shawn Hymel Senior Developer Relations Engineer, Edge Impulse

    Optional Hardware: None

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • Data Collection with a Custom Sensor

    Data Collection with a Custom Sensor

    Run Time: 25 minutes

    In this IoT Central MicroSession with Edge Impulse, learn how to collect data from custom sensors and store the readings in CSV files for analysis and uploading to Edge Impulse. For seamless efficiency, the Edge Impulse Data Forwarder tool can be used to automatically send data to the Edge Impulse Studio using an internet connection with your embedded system tethered to your computer via USB. By storing data to CSV files, you can then collect samples in the field without an internet connection.

    Instructor: Shawn Hymel, Senior Developer Relations Engineer, Edge Impulse

    Required Hardware: Arduino Nano 33 BLE Sense

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • Create Real-Time Object Detection on Low-Power Microcontrollers

    Create Real-Time Object Detection on Low-Power Microcontrollers

    Run Time: 19 Minutes

    In this IoT Central MicroSession with Edge Impulse, learn how to create a real-time object detection system (FOMO) using low-power microcontrollers. You will learn how to collect a high quality object detection dataset to train and deploy a FOMO model to a microcontroller like the Himax WE-I Plus.

    Instructor: Jenny Plunkett, Senior Developer Relations Engineer, Edge Impulse

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • Classify Non-Human Voice Audio for Automation and Embedded Machine Learning

    Classify Non-Human Voice Audio for Automation and Embedded Machine Learning

    Run Time: 23 Minutes

    In this IoT Central MicroSession, learn how to create a non-human voice audio classification system to identify when a faucet is leaking. This demo can also be adapted for industrial use cases, such as identifying machine failures with grinding sounds, or even for wildlife conservation purposes, to recognize the vocalizations of various endangered species in the wild.

    Instructor: Jenny Plunkett, Senior Developer Relations Engineer, Edge Impulse

    Optional Hardware: Mobile Phone

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • Auto ML with EON Tuner

    Auto ML with EON Tuner

    Run Time: 18 Minutes

    In this IoT Central MicroSession with Edge Impulse, learn how to speed-up your machine learning pipeline design using the EON Tuner, Edge Impulse's tool for AutoML and much more. The EON Tuner analyzes your input data, potential signal processing blocks, and neural network architectures, providing an overview of possible model architectures that will fit your chosen device's latency and memory requirements. Louis will walk you through this process and show how to leverage the tool in just 18 minutes.

    Instructor: Louis Moreau, Senior Developer Relations Engineer, Edge Impulse

    Required Hardware: none

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • Advanced Sensor Anomaly Detection

    Advanced Sensor Anomaly Detection

    In this IoT Central MicroSession with Edge Impulse, learn how you can easily create a machine learning classifier to detect anomalous sensor readings using only nominal training data for embedded machine learning models directly in the Edge Impulse Studio.

    Instructor: Jenny Plunkett, Senior Developer Relations Engineer, Edge Impulse

    Optional Hardware: mobile phone or a microcontroller with accelerometer sensor

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • IoT Connectivity and Multi-Carrier Management Platform

    IoT Connectivity and Multi-Carrier Management Platform

    Many enterprises struggle to effectively deploy and then manage their active cellular devices in multiple regions around the world. This problem occurs due to differences between carrier SIM management platforms, a lack of comprehensive reporting and dissimilar workflows for activating and deactivating service within each carrier platform.

    In this first of a three-part IoT Central webinar series, you will learn about solutions that simplify cellular IoT & Fixed Wireless deployments. You will see how they improve operational efficiencies through standardized and automated data usage reporting and SIM workflows across multiple wireless carriers.

    In this webinar, you will learn about:
    • Solutions for normalizing workflows across carriers
    • Optimized SIM and carrier options for companies deploying products across NA and globally
    • Uniform reporting for a variety of KPIs across the leading global carriers
    • A means of automating cellular billing management when working through dealer or distribution channels

    Register for this IoT Central webinar now to learn about these valuable tools.

    Guests:
    Jim Greco, CRO at Zipit Wireless
    Ralph Heredia, VP Business Development at Zipit Wireless
  • Using Image Data Augmentation to Train a Better ML Model

    Using Image Data Augmentation to Train a Better ML Model

    Learn the process of performing data augmentation on an image dataset, which includes flipping, translating, zooming, rotating, and adding noise.

  • Learn How to Integrate an Object Detection Model in a Custom Application

    Learn How to Integrate an Object Detection Model in a Custom Application

    Learn how to integrate object detection models with the Linux Python SDK to build fully-customizable applications.

  • Data Collection with a Custom Sensor

    Data Collection with a Custom Sensor

    Collect data from custom sensors and store the readings in CSV files for analysis and uploading to Edge Impulse.

  • Advanced Sensor Anomaly Detection

    Advanced Sensor Anomaly Detection

    How to easily create a machine learning classifier to detect anomalous sensor readings using only nominal training data for embedded machine learning models directly in the Edge Impulse Studio.

  • Data Curation and Feature Scaling

    Data Curation and Feature Scaling

    Learn how to perform feature normalization and standardization prior to uploading data to Edge Impulse. This process involves calculating the mean and standard deviation of each channel and standardizing the data along a single axis to have a mean of 0 and a standard deviation of 1. The means and standard deviations will need to be recorded for inference during deployment. We use Google Colab to perform this analysis and transformation prior to uploading the data to Edge Impulse.

    Instructor: Shawn Hymel Senior Developer Relations Engineer, Edge Impulse

    Optional Hardware: None

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup

  • Inference with Custom Sensors

    Inference with Custom Sensors

    Learn how to create a keyword spotting system to recognize spoken words. Follow along or use an Arduino board (details below) and classify words using Edge Impulse.

  • Auto ML with EON Tuner

    Auto ML with EON Tuner

    Learn how to speed-up your machine learning pipeline design using the EON Tuner, Edge Impulse's tool for AutoML and much more.

  • Automate your ML Pipeline

    Automate your ML Pipeline

    In this IoT Central MicroSession with Edge Impulse, learn how to create complete automated data pipelines so you can work on your active learning strategies.

  • How to Build Continuous Audio Classification Applications

    How to Build Continuous Audio Classification Applications

    Run Time: 16 Minutes

    In this IoT Central MicroSession with Edge Impulse, quickly learn how to build continuous audio classification applications using Edge Impulse. First see a walkthrough of the theoretical understanding of the continuous classification methods before diving into the demo. Then follow a demo of the data collection and exploration, impulse design, and finally perform live inference on an Arduino Nano 33 BLE Sense, smartphone or anyone one of the boards listed below.

    Instructor: Clinton Odour, Senior Developer Relations Engineer, Edge Impulse

    Optional Hardware: Any smartphone and most boards with a microphone or an accelerometer. Examples include: ST B-L475E-IOT01A, Arduino Nano 33 BLE Sense, ESP32 FireBeetle with LIS3DHTR accelerometer, Himax WE-I Plus, Nordic Semiconductor nRF52840 DK, nRF5340 DK or nRF9160 DK, Silicon Labs Thunderboard Sense 2, Sony's Spresense, TI CC1352P LaunchPad, Raspberry Pi 4, Nvidia Jetson and more.

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • How to Classify Motions Using Embedded ML & Accelerometers

    How to Classify Motions Using Embedded ML & Accelerometers

    Run Time: 15 Minutes

    In this IoT Central On-Demand MicroSession, learn how to classify three-axis motion signatures with machine learning using Edge Impulse. You will navigate through the full MLOps pipeline from the data collection to the live inferencing passing by the digital signal processing features extraction and the neural network training.

    Instructor: Louis Moreau, Senior DevRel Engineer, Edge Impulse

    Optional Hardware: Sensor or smartphone with 3-axis accelerometer

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • How to Create a Keyword Spotting System in 20 minutes

    How to Create a Keyword Spotting System in 20 minutes

    Run Time: 27 Minutes

    In this IoT Central MicroSession, learn how to create a keyword spotting system to recognize spoken words. Follow along or use an Arduino board (details below) and classify words using Edge Impulse.

    Instructor: Shawn Hymel, Senior DevRel Engineer, Edge Impulse

    Optional Hardware: Arduino Nano 33 BLE Sense

    Preperation: Free sign-up at https://studio.edgeimpulse.com/signup
  • Inference with Custom Sensors

    Inference with Custom Sensors

    Run Time: 20 Minutes

    In this IoT Central MicroSession, learn how to create a keyword spotting system to recognize spoken words. Follow along or use an Arduino board (details below) and classify words using Edge Impulse.

    Instructor: Shawn Hymel, Senior DevRel Engineer, Edge Impulse

    Optional Hardware: Arduino Nano 33 BLE Sense

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • IoT Central & Arm Present The IoT Roundtable: Advancing IoT from Cloud to Edge

    IoT Central & Arm Present The IoT Roundtable: Advancing IoT from Cloud to Edge

    IoT Central, and hosting sponsor Arm, continue the successful Roundtable Series with a focus on the latest developments in edge to cloud computing and how it is advancing IoT.

    Host Robert Wolff, from the Arm Developer Relations team, will kick things off with an overview of the growing user demand for edge computing and why a cloud-only world will no longer be sufficient.

    Additionally, Robert will facilitate more detailed presentations from special guest panelists representing industry leading companies with hardware and software solutions advancing the diverse and quickly evolving solutions in this space.

    Join us and learn how you can save time and money with advanced technologies addressing edge/cloud architectures, data processing proximity, security, connectivity, costs, scale and more.

    Panelists:

    Angel Rivera, Senior Developer Advocate at CircleCI
    Steve Sponseller, Senior Director, Business Development & Americas Channel for Kepware at PTC
    Brian Tol, VP of Engineering at SpinDance
  • IoT Central & Arm Present The IoT Dev Board Roundtable: Industrial IoT

    IoT Central & Arm Present The IoT Dev Board Roundtable: Industrial IoT

    IoT Central, and hosting sponsor Arm, continue the successful Dev Board Roundtable series –this time with a focus on the Industrial IoT.

    Hosts, Robert Wolff and Alessandro Grande, from the Arm Developer Relations team, will kick things off with an overview of product development trends in the Industrial IoT space and how “one-size fits all” does not exist when selecting hardware.

    Additionally, Robert and Alessandro will facilitate more detailed presentations from special guest panelists representing industry leading companies with hardware and software building blocks, dev board solutions, and kits for Industrial IoT developers.

    Join us and learn how you can save time and money in the early stages of development!
  • IoT Central & Arm Present The IoT Dev Board Roundtable

    IoT Central & Arm Present The IoT Dev Board Roundtable

    IoT Central, and hosting sponsor Arm, will present a virtual roundtable with IoT industry leaders discussing how to find the best dev boards available to bring IoT projects to life.

    Hosts, Robert Wolff and Alessandro Grande, from the Arm Developer Relations team will kick things off with an industry overview, a few of their favorite boards, and suggestions on how to navigate the dev board chaos and find the board that hits your project "sweet spot".

    Additionally, Robert and Alessandro will facilitate more detailed presentations from four special guests representing industry leading companies with dev board solutions or kits for IoT developers.

    Hosts:
    Alessandro Grande - Ecosystem Manager, Automotive & IoT, Arm
    Robert Wolff - Manager, Ecosystem Developer Evangelist, Arm

    Panelists:
    Sahaj Sarup - Application Engineer, 96 Boards
    Dario Pennisi - Hardware Development Manager, Arduino
    Rick Bye - Sr. IoT Solutions Marketing Manager, NXP
    Rajan Mistry - Sr. Engineer, Qualcomm
  • Learn How to Integrate an Object Detection Model in a Custom Application

    Learn How to Integrate an Object Detection Model in a Custom Application

    Run Time: 12 Minutes

    In this IoT Central MicroSession with Edge Impulse, learn how to integrate object detection models with the Linux Python SDK to build fully-customizable applications. In this example, you will see how an object detection model running locally can output a live video stream with the bounding boxes in a web application.

    Instructor: Louis Moreau, Senior Developer Relations Engineer, Edge Impulse

    Optional Hardware: Linux x86 or MacOS

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • Learn to Build Object Detection Using Transfer Learning

    Learn to Build Object Detection Using Transfer Learning

    Run Time: 15 Minutes

    In this IoT Central MicroSession with Edge Impulse, quickly learn how to build an object detection model using Transfer Learning. You will also learn how to run the live inference using Edge Impulse Linux CLI or MacOS-based hardware. This is the first ion a two part series (coming soon).

    Instructor: Louis Moreau, Senior Developer Relations Engineer, Edge Impulse

    Optional Hardware: Linux-based or MacOS-based hardware

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • Webinar Series: Fast and Fearless - The Future of IoT Software Development - Part 3 of 4: Making the Most of IoT Connectivity

    Webinar Series: Fast and Fearless - The Future of IoT Software Development - Part 3 of 4: Making the Most of IoT Connectivity

    Webinar Series: Fast and Fearless - The Future of IoT Software Development
    Part Three of Four: Making the Most of IoT Connectivity

    The IoT is transforming the software landscape. What was a relatively straightforward embedded software stack, has been revolutionized due to the IoT where developers juggle specialized workloads, security, machine learning, real-time connectivity, managing devices in the field - the list goes on.

    How can our industry help developers prototype ‘fearlessly’ because the tools and platforms allow them to navigate varying IoT components? How can developers move to production quickly, capitalizing on innovation opportunities in emerging IoT markets?

    This webinar will help you to choose the appropriate connectivity protocol for your IoT application. The presenters will deliver an overview of Wi-Fi, NB-IoT, Bluetooth and LoRaWAN and their benefits, provide examples and application ideas, as well as useful resources for developers of all skill levels - whether you're just getting started or you've been working in the IoT for some years. There will also be an opportunity for Q&A.

    This webinar is part of a series taking you through the fundamental steps, tools and opportunities for simplifying IoT development.

    Speakers:
    Omer Cheema, Head of Wi-Fi Business Unit at Renesas Semiconductor
    Wienke Giezeman, Co-Founder and CEO at The Things Industries
    Samuele Falconer, Principal Product Manager at u-blox
    Thomas Cuyckens, System Architect at Qorvo
  • Using Image Data Augmentation to Train a Better ML Model

    Using Image Data Augmentation to Train a Better ML Model

    Run Time: 18 Minutes

    In this IoT Central MicroSession with Edge Impulse, learn the process of performing data augmentation on an image dataset, which includes flipping, translating, zooming, rotating, and adding noise. This process generates modified copies of the original data. See how to train a convolutional neural network (CNN) on Edge Impulse with the augmented dataset and demonstrate how it is more accurate than a model trained on the original data.

    Instructor: Shawn Hymel, Senior Developer Relations Engineer, Edge Impulse

    Required Hardware: None

    Preparation:
    Free sign-up at https://studio.edgeimpulse.com/signup
    Code and dataset: https://github.com/ShawnHymel/computer-vision-with-embedded-machine-learning

    Additional Resources:
    A non-augmented version of the project used in the video: studio.edgeimpulse.com/public/36514/latest
    An example of the project with augmented data: studio.edgeimpulse.com/public/36800/latest
  • Using Machine Learning for Sensor Fusion

    Using Machine Learning for Sensor Fusion

    Run Time: 22 Minutes

    In this IoT Central MicroSession, learn about use cases for sensor fusion and how it can be accomplished using neural networks. You will walk through how a machine learning model performing sensor fusion can be trained in Edge Impulse and tested on a microcontroller.

    Instructor: Shawn Hymel, Senior Developer Relations Engineer, Edge Impulse

    Optional Hardware: Arduino Nano 33 BLE Sense

    Preparation: Free sign-up at https://studio.edgeimpulse.com/signup
  • Webinar Series: Fast and Fearless - The Future of IoT Software Development - Part 2 of 4: AI and IoT Innovation

    Webinar Series: Fast and Fearless - The Future of IoT Software Development - Part 2 of 4: AI and IoT Innovation

    Webinar Series: Fast and Fearless - The Future of IoT Software Development
    Part Two of Four: AI and IoT Innovation

    The IoT is transforming the software landscape. What was a relatively straightforward embedded software stack, has been revolutionized due to the IoT where developers juggle specialized workloads, security, machine learning, real-time connectivity, managing devices in the field - the list goes on.

    How can our industry help developers prototype ‘fearlessly’ because the tools and platforms allow them to navigate varying IoT components? How can developers move to production quickly, capitalizing on innovation opportunities in emerging IoT markets?

    This webinar series will take you through the fundamental steps, tools and opportunities for simplifying IoT development. Each webinar will be a panel discussion with industry experts who will share their experience and development tips on a specific topic. This session will cover AI and IoT Innovation and will include:

    - How to juggle the additional complexities that machine learning adds to IoT development
    - Why on-device machine learning is more important now than ever
    - What does the combination of AI and IoT look like for developers in the future?

    Speakers:

    Karl Fezer, AI Ecosystem Evangelist at Arm
    Wei Xiao, Principal Engineer, Sr. Strategic Alliances Manager at Nvidia
    Nikhil Bhaskaran, Founder of Shunya OS
    Tina Shyuan, Director of Product Marketing at Qeexo
  • Webinar Series: Fast and Fearless - The IoT Software Developer Experience

    Webinar Series: Fast and Fearless - The IoT Software Developer Experience

    Webinar Series: Fast and Fearless - The Future of IoT Software Development
    Part One of Four: The IoT Software Developer Experience

    The IoT is transforming the software landscape. What was a relatively straightforward embedded software stack, has been revolutionized due to the IoT where developers juggle specialized workloads, security, machine learning, real-time connectivity, managing devices in the field - the list goes on.

    How can our industry help developers prototype ‘fearlessly’ because the tools and platforms allow them to navigate varying IoT components? How can developers move to production quickly, capitalizing on innovation opportunities in emerging IoT markets?

    This webinar series will take you through the fundamental steps, tools and opportunities for simplifying IoT development. Each webinar will be a panel discussion with industry experts who will share their experience and development tips on the below topics.

    In this latest IoT Central webinar, you will learn:

    • Development challenges engineers are facing today
    • How the industry is helping to make IoT development easier
    • Overview of development processes, including cloud-based continuous integration (CI) workflows and low-code development
    • What the future looks like for developers building for the IoT

    Speakers:

    Joe Alderson, Director of Embedded Tools and User Experience at Arm
    Ihor Dvoretskyi, Developer Advocate at Cloud Native Computing Foundation
    Pamela Cortez, IoT Developer Advocate and Sr. Program Manager at Microsoft Azure IoT
    Katherine Scott, Developer Advocate at Open Robotics