SenseCAP - The Sensor Prototype Kit Overview
In the digital age where IoT and big data are becoming more prevalent, massive data collection through sensors is required to facilitate digital transformation. Under such a background, SenseCAP K1100 comes with all the essential sensors and devices, including a Wio Terminal, an AI Vision Sensor, and a LoRa®-enabled module - that together allows users of all backgrounds and levels to create DIY sensors for data collection and solving real-world challenges.
SenseCAP - The Sensor Prototype Kit with LoRa® and AI enables you to rapidly digitize the world using LoRaWAN® and solve real-world challenges. With this plug-and-play toolkit, anyone can add AI to their edge devices and unlock the potential of AIoT.
Upgradable to Industrial Sensors
With the SenseCAP S2110 controller and S2100 data logger, you can easily turn the Grove into a LoRaWAN® sensor. Seeed not only helps you with prototyping but also offers you the possibility to expand your project with the SenseCAP series of robust industrial sensors.
The IP66 housing, Bluetooth configuration, compatibility with the global LoRaWAN® network, built-in 19 Ah battery, and powerful support from APP make the SenseCAP S210x the best choice for industrial applications. The series includes sensors for soil moisture, air temperature and humidity, light intensity, CO2, EC, and an 8-in-1 weather station. Try the latest SenseCAP S210x for your next successful industrial project.
Catalogue
Quick Start
Microsoft Azure IoT
SenseCAP
Sensors Wiki
Sensor & Helium/TTN Arduino Programme
Helium
The Things Network Section
WiFi
Cloud
TinyML
Project
Introduction
Quick Start With SenseCAP - K1100
| In this tutorial, we would like you to start by going through our Quick Start Guide section. Learn about the extraordinary data presentation of our kit and the ease of IoT functionality. In this chapter, you can experience the fun of data collection and data processing with our open source project in the shortest time. And you can transfer the data you collected to different platforms through WiFi or LoRa®. Jump to chapter > |  |
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SenseCAP Cloud Applications
| To make it easier for our users to connect data from the SenseCAP platform to various other Paas platforms for more in-depth data processing. We will do a series of tutorials for SenseCAP & Node-RED. Jump to chapter > | | |
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| SenseCAP Console with Node-RED Quick Start | Connect SenseCAP to Azure IoT Central via Node-RED | |
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| This tutorial, the first in a series, will walk you through installing and using Node-red and calling the SenseCAP backend API to connect to Node-RED. | The content of this chapter will continue to use the Node-RED introduced earlier and facilitate the management of the K1100 kit in Microsoft Azure IoT Central through the use of Node-RED. | |
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| Connecting SenseCAP to Power BI via Node-RED | Connecting SenseCAP to InfluxDB via Node-RED | |
| In this tutorial we will guide you through how to import sensor data from SenseCAP into Power BI for more in-depth data processing by using Node-RED. | The content of this chapter will continue to use the Node-RED introduced earlier and facilitate the management of the K1100 kit in InfluxDB through the use of Node-RED. | |
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| Connecting SenseCAP to Twilio via Node-RED | Connecting SenseCAP to Datacake via Node-RED | |
| This section will use the SenseCAP K1100 kit as well as the SenseCAP console, Node-RED, to complete the task of triggering a Twilio message push under certain conditions. | The content of this chapter will continue to use the Node-RED introduced earlier and facilitate the management of the K1100 kit in Datacake through the use of Node-RED. | |
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Microsoft Azure IoT
| Microsoft Azure IoT is a collection of Microsoft-managed cloud services that connect, monitor, and control billions of IoT assets. It includes security and operating systems for devices and equipment, along with data and analytics that help businesses to build, deploy and manage IoT applications. |  | |
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| Connect SenseCAP to Azure IoT Central via Node-RED | Connect Wio Terminal to Microsoft Azure IoT Central (WiFi) |  |
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| In this chapter, we will describe how to forward data stored in SenseCAP to Azure IoT Central by using Node RED. | In this chapter, we will describe how to send data from the Wio Terminal to Azure IoT Central via the WiFi function that comes with the Wio Terminal. | |
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| Develop in Microsoft Azure IoT Central | ||
| In this chapter we will describe how to process data and further develop it in Azure IoT Central. | ||
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| Connect the Wio Terminal to Microsoft Azure IoT Hub (WiFi) | Integrate into Azure IoT Hub (Helium) |  |
| In this chapter, we will describe how to send data from the Wio Terminal to Azure IoT Hub via the WiFi function that comes with the Wio Terminal. | This chapter describes the use of Azure IoT Hub in the Helium console. | |
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| Microsoft IoT Hub for Beginners Course | ||
| The course cover the journey of food from farm to table. This includes farming, logistics, manufacturing, retail and consumer - all popular industry areas for IoT devices. | ||
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| Microsoft Azure IoT Data visualisation with Power BI | Configure Web APP Visualization | |
| In this tutorial, you configure your IoT Central application, then use Power BI store, manager to visualize the insights derived from the telemetry. | This section describes how to visualize the data information received by Microsoft Azure using the free Web APP integration. | |
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Arduino Programming Sensors Section
| If you are an engineer interested in hardware/software or have been in the industry for years, you can start your journey of discovery with our Arduino section. You don't have to worry about the content in the cloud. The easy-to-understand tutorials will enable you to complete various IoT projects with minimal time cost. | ||
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| Wio Terminal Light Sensor | Wio Terminal IMU Sensor | Soil Moisture Sensor |
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| This section describes how to use the Wio Terminal Light Sensor to acquire data and connect to the LoRa® network via the Grove - Wio-E5 in preparation for connecting to the Helium/TTN. | This section describes how to use the Wio Terminal IMU Sensor to acquire data and connect to the LoRa® network via the Grove - Wio-E5 in preparation for connecting to the Helium/TTN. | This section describes how to use the Grove Soil Moisture Sensor to acquire data and connect to the LoRa® network via the Grove - Wio-E5 in preparation for connecting to the Helium/TTN. |
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| Grove VOC and eCO2 Gas Sensor (SGP30) | Grove Temp&Humi Sensor (SHT40) | Grove Vision AI Module |
| This section describes how to use the Grove VOC and eCO2 Gas Sensor to acquire data and connect to the LoRa® network via the Grove - Wio-E5 in preparation for connecting to the Helium/TTN. | This section describes how to use the Wio Terminal Light Sensor to acquire data and connect to the LoRa® network via the Grove - Wio-E5 in preparation for connecting to the Helium/TTN. | This section describes how to use the Wio Terminal Light Sensor to acquire data and connect to the LoRa® network via the Grove - Wio-E5 in preparation for connecting to the Helium/TTN. |
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Helium Section
| To send the sensor values to the cloud platform, the choice of network is a necessary part. We offer two platforms with the widest coverage in LoRa® for you to choose from today. Here is Helium Section. |  | |
| Helium Introduction | Connecting to Helium | |
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| In this chapter, we will introduce the Helium console controls that we use to get a first impression of the Helium console. | This section describes how to configure Helium so that sensor data can be successfully uploaded to and displayed in Helium. | |
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| Helium integrate into Azure IoT Hub | Helium integrate into Google Sheets | |
| This section describes how to configure Microsoft Azure and integrate with Helium to upload data to the Microsoft Azure platform. | This section introduces the use of Google Forms in Helium integration. and using Google Forms to store sensor data. | |
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| Helium integrate into AWS IOT Core | ||
| This section describes how to configure and use the AWS integration in Helium. | ||
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The Things Network Section
| To send the sensor values to the cloud platform, the choice of network is a necessary part. We offer two platforms with the widest coverage in LoRa® for you to choose from today. Here is The Things Network Section. (Hereinafter referred to as TTN) |  | |
| TTN Introduction | Connecting to TTN | |
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| In this chapter, we will introduce the TTN console controls that we use to get a first impression of the TTN console. | This section describes how to configure TTN so that sensor data can be successfully uploaded to and displayed in TTN. | |
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Wio Terminal WiFi Section
| If you are in an environment where LoRaWAN® is not available, you can also choose to use the WiFi function of Wio Terminal to complete the point-to-point communication. | ||
| Advanced WiFi Usage | Connect Wio Terminal to Microsoft Azure IoT Central | Quick Start with Ubidots |
| This section introduces some of the advanced library usage of the Wi-Fi such as HTTPClient, DNSServer and WebServer Libraries. With these libraries implemented, you are able to develop your IoT projects with simple APIs. | In this section, we will walk you through the process of connecting the Wio Terminal to Microsoft Azure IoT Central and send telemetry data from the onboard sensors/ hardware on the Wio Terminal such as the 3-axis accelerometer, light sensor, 3 buttons to Microsoft Azure IoT Central. | In this chapter, we will describe how to experience the process of uploading data to Ubidots and displaying it graphically through your own WiFi network. |
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| Quick Start to using Blynk | Connect Wio Terminal to Google Cloud IoT Core | |
| In this chapter, we will describe how to experience the process of uploading data to Blynk and displaying it graphically through your own WiFi network. | In this section, we will walk you through the process of connecting the Wio Terminal to Google Cloud IoT Core and send telemetry data from the Wio Terminal to the Google Cloud IoT core. | |
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TinyML Section
| Of course, if you are interested in TinyML and want to implement some machine learning projects and content, you can refer to the TinyML section. |  | ||
| Develop Edge Impulse application to cloud via Helium | Train and Deploy Your Own AI Model Into Grove - Vision AI | ||
| Combine Wio Terminal's built-in sensors with Edge Impulse, a powerful and easy-to-use machine learning platform, to train simple sensor recognition projects. | In this wiki, we will teach you how to train your own AI model for your specific application and then deploy it easily to the SenseCAP A1101 - LoRaWAN Vision AI Sensor and Grove - Vision AI Module. | ||
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Project Section
| In addition to the above basic tutorials for each platform, we have prepared a variety of rich examples on the use of this kit, so you can see here that the value of the kit is unlimited! |  |
| Soil moisture monitoring alarm system In this section, we will show you how to unitize the Wio Terminal to link Grove - Wio-E5 and Grove - Soil Moisture Sensor, connecting them with Helium and Azure IoT Central, to build a real-time backyard potting monitor and watering-reminder. Jump to chapter > |
| IoT Into the Wild Contest for Sustainable Planet 2022 We are pleased to share with you the projects that our entrants have produced using this great kit. You can also refer to their projects for even more possibilities! Jump to chapter > |
We hope you enjoy your learning journey in IoT!
Course Code Library
All libraries and code for this course can be found at the following address Before the course starts, you can clone the repo to your own computer for reference and learning.
Helium LoRaWAN®
For more details, please read Helium LoRaWAN®: Public Infrastructure with Private Network Servers.
The Things Network LoRaWAN®
For more details, please read TTN offcial website.
Tech Support
Please do not hesitate to submit the issue into our forum.
Statement
- The LoRa® Mark is a trademark of Semtech Corporation or its subsidiaries.
- LoRaWAN® is a mark used under license from the LoRa Alliance®.