SenseCAP K1100 - The Sensor Prototype Kit with LoRa? and AI

RWF 160,000.00

'SenseCAP K1100 - 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.

Product Description

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.

Key Features

Deploy in 10 Minutes: Build an AIoT project through 3 steps in 10 minutes

Advanced Technologies: Combination of Machine Learning, LoRa� technology, and pre-trained embedded AI Vision Sensor

Great Extensibility: Compatible with 400+ Grove sensors to support extensive applications and customization options

Broad Integration: Compatible with mainstream platforms for Cloud support

Open-source Platform: Compatible with beginner-friendly programming platforms enabling co-creation of IoT sensors

Upgradable to Industrial Sensors: Gateway to the higher-end SenseCAP series of outdoor sensors for industrial usage

Deploy in 10 minutes

SenseCAP K1100 enables the easiest deployment and the shortest processing time from the front end to the cloud system. We've spared no effort to adapt the kit to the SenseCAP platform, which provides convenient and full Cloud support. Therefore, the complex and lengthy process to get started will be a thing of the past, and people of various backgrounds and skill sets can make DIY sensors to develop AIoT solutions within 10 minutes.

Walk through the tutorial to get started!

Advanced Technologies

Application to Start With

Human Traffic Flow Detection: Monitor the data of human traffic flow using the AI Vision Sensor

Indoor Air Quality Control: Detect various gas types and carbon dioxide in the air to monitor the atmospheric environment indoors

Potted Plants Health Monitor: Monitor data of temperature, humidity, and soil moisture to maintain the optimal environment for the desktop potted plants