Introduction

In the era of the Internet of Things, due to factors such as diverse facilities, different manufacturers, the coexistence of multiple data transmission protocols, and the existence of exclusive protocols for open architectures, systems and data must be integrated on the same cloud platform for seamless interface, complete data synchronization and storage. Only by taking functions can they work collaboratively and synchronously.

The LOOK IoT platform is aimed at all current IoT devices (excluding video streaming), as long as the device can be sent back through https, http, mqtt, mqtts and other communication protocols, it can be received, stored and displayed. Check the current status of the device with the Dashboard. The returned value can be converted through a custom syntax, and a message can be sent after the condition is fulfilled, or the purpose of controlling the device can be achieved.

Application field

Our company has developed a multi-domain general cloud platform through a common communication protocol and video streaming, and uses AI machine learning/deep learning to find predictive or reusable values, which are applied to various industries and government departments.

Features

  • Ubiquitous Monitoring
    Anyone who supports the MQTT protocol can use this cloud service system. In addition to IoT information, it can also support video streaming services. The device can be set up and used online within half an hour.
  • Build your own Internet of Things website
    In addition to receiving your own IoT devices, you can also connect to Opendata, set a theme, quickly browse, and create your own dashboard. In addition, this website supports multi-language switching, which can meet the needs of global IoT monitoring.
  • Complete information is not missed
    In addition to real-time information through the website and APP, you can freely set various equipment alert rules, and use instant messaging and APP services to push broadcasts.
  • Provide big data query and AI analysis
    In addition to writing all the received data into the self-created NoSQL database for querying, the system also provides a TensorFlow environment for users to load the training model and achieve real-time functions of prediction and analysis through IoT data.

Contacts

04-24516609#260

Jeffrey