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

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

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

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

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

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

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

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

RunTime: 28 minutes
Maybe you are just starting to consider your first IoT product deployment or you may be a seasoned IoT expert. Either way, you will find these helpful tips useful in seamlessly monetizing your business and scaling from hundreds to millions without the hassle of restructuring your charging model!

In this IoT Central webinar, Robert Entrican, Founder and CTO of RevX Systems will be interviewed and share his expertise and insights. In less than 30 minutes, you will learn about:

- The key elements of an IoT solution and how they relate to your business's pricing model
- The top challenges companies face when monetizing and scaling their IoT solutions
- Various business models and challenge-specific strategies with proven results
- Three "cheat codes" to IoT monetization that you can put into practice immediately

Speaker: Robert Entrican, Founder and CTO

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

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

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

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

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

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

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

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

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

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

Run Time: 29 Minutes

In this IoT Central MicroSession with Edge Impulse, see how to use the Edge Impulse C++ SDK library to perform inference on any platform. You will learn how to build a C++ application that includes the necessary library functions to predict class probabilities from a static set of raw features, as well as construct a Makefile to link the libraries together.

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

Optional Hardware: Lunix computer, (i.e Raspberry Pi)

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