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Description
IOT-110 is a platform that integrates the training of edge computing, AI and IoT Its system consists of sensor modules, edge computing
modules, and AI computing accelerators. The course provided is structured coherently and clearly, and the concepts of sensors,
networks, and applications can be introduced progressively and thoroughly. With this system, users shall be able to deploy various smart applications of IOT and edge computing. In addition, users can also choose additional ZigBee, NB-IoT, and LoRa modules when making their purchase, further expanding the capabilities of the IoT training platform. This provides even more possibilities for enhancing your smart applications.
Each sensor modules is embedded in a separate aluminum housing with a built-in hook and powered by a rechargeable lithium battery, so the sensor modules can be deployed in many dif ferent locations as well as on the training stand. The name of each sensor is printed on the housing. (Users can also choose to purchase waterproof box for outdoor sensing applications.)
Features：
1. An open-source integrated development environment: users can start programming using an easy-to-use language.
2. Graphical programming language development tools: users can generate writing programs by dragging and dropping (ideal for beginner programmer)
3. A flexible structure: convenient to set up and deploy required experimental environments easily.
4. All data collected from sensors are stored in database. Data can also be uploaded to cloud servers, such as ThingSpeak, Amazon Web Services, and Microsoft Azure.
5. It is compatible with the MQTT communication protocol, and data is obtained through publication and subscription.
modules, and AI computing accelerators. The course provided is structured coherently and clearly, and the concepts of sensors,
networks, and applications can be introduced progressively and thoroughly. With this system, users shall be able to deploy various smart applications of IOT and edge computing. In addition, users can also choose additional ZigBee, NB-IoT, and LoRa modules when making their purchase, further expanding the capabilities of the IoT training platform. This provides even more possibilities for enhancing your smart applications.
Each sensor modules is embedded in a separate aluminum housing with a built-in hook and powered by a rechargeable lithium battery, so the sensor modules can be deployed in many dif ferent locations as well as on the training stand. The name of each sensor is printed on the housing. (Users can also choose to purchase waterproof box for outdoor sensing applications.)
Features：
1. An open-source integrated development environment: users can start programming using an easy-to-use language.
2. Graphical programming language development tools: users can generate writing programs by dragging and dropping (ideal for beginner programmer)
3. A flexible structure: convenient to set up and deploy required experimental environments easily.
4. All data collected from sensors are stored in database. Data can also be uploaded to cloud servers, such as ThingSpeak, Amazon Web Services, and Microsoft Azure.
5. It is compatible with the MQTT communication protocol, and data is obtained through publication and subscription.
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