Attendees FAQ Partners

Hosted by

Lakshantha Dissanayake

Application Engineer - Seeed Studio

Learn more

3 Quick Steps to Build Smarter Sensors with The Things Network (Virtual)

Where

Parallel sessions

When

Thursday 22 September 2022

02:00 pm - 03:00 pm CEST

Add to Calendar 22-09-2022 02:00 pm 22-09-2022 03:00 pm Europe/Paris 3 Quick Steps to Build Smarter Sensors with The Things Network (Virtual)

Traditionally, a development kit is nothing more than matching one or more themed modules, combining their functions, and then programming to achieve a certain systematic function.

SenseCAP K1100 – the sensor prototype kit with LoRa® and AI is the one that changes the game. It is not only designed for traditional makers, but also for software engineers and system integrators with various backgrounds. With the kit in hand, you can deploy a set of smart sensors in a few minutes through The Things Network, and train your machine learning model in the featured AI Vision Camera to achieve different object detection. It actually serves as a gateway to industrial sensor nodes through which higher-end IoT solutions are built.

During the workshop, we will provide detailed instructions on how to extract real-world data and train ML models with Seeed Studio Grove sensors, and then transmit it to the cloud through The Things Network. You will be using the kit to prototype smart sensors for IoT solutions through a quick path from the end to the cloud.

Join us and take an in-depth look at the “what” and “how” behind smart sensors’ capability with LoRa® and AI.

*The LoRa® Mark is a trademark of Semtech Corporation or its subsidiaries.

Summary of the content of the workshop:

  • Introduction 
  • 3 steps to build smarter sensors
  • Data collection and display through Wio Terminal
  • Train ML models with AI Vision Camera
  • Relay out sensor data though TTN console
  • The gateway to industrial sensor node 

Workshop Requirements:

  • SenseCAP K1100 – the sensor prototype kit
  • The Things Network coverage
  • A TTN platform account
  • A computer installed with Arduino IDE 1.8.x

Traditionally, a development kit is nothing more than matching one or more themed modules, combining their functions, and then programming to achieve a certain systematic function.

SenseCAP K1100 – the sensor prototype kit with LoRa® and AI is the one that changes the game. It is not only designed for traditional makers, but also for software engineers and system integrators with various backgrounds. With the kit in hand, you can deploy a set of smart sensors in a few minutes through The Things Network, and train your machine learning model in the featured AI Vision Camera to achieve different object detection. It actually serves as a gateway to industrial sensor nodes through which higher-end IoT solutions are built.

During the workshop, we will provide detailed instructions on how to extract real-world data and train ML models with Seeed Studio Grove sensors, and then transmit it to the cloud through The Things Network. You will be using the kit to prototype smart sensors for IoT solutions through a quick path from the end to the cloud.

Join us and take an in-depth look at the “what” and “how” behind smart sensors’ capability with LoRa® and AI.

*The LoRa® Mark is a trademark of Semtech Corporation or its subsidiaries.

Summary of the content of the workshop:

  • Introduction 
  • 3 steps to build smarter sensors
  • Data collection and display through Wio Terminal
  • Train ML models with AI Vision Camera
  • Relay out sensor data though TTN console
  • The gateway to industrial sensor node 

Workshop Requirements:

  • SenseCAP K1100 – the sensor prototype kit
  • The Things Network coverage
  • A TTN platform account
  • A computer installed with Arduino IDE 1.8.x