Cloud Kit connects sensors to Amazon to secure IoT devices

by | Aug 21, 2019 | IoT News

The Cloud Kit RX65N provides the distinctive range of embedded designers with secure and high-speed connectivity to the Amazon Web Services, according to Renesas. The Internet of Things applications can be created very quickly by using IDE e2 studio by Renesas. By the looks of it, the applications are brought to life using the FreeRTOS, a robust real-time operating system.

RX65N also utilizes the browser software of the firm, which would allow the users to visualize the data sensors easily. Moreover, this can be done by using a simple yet straightforward cloud dashboard. In the long run, the dashboard would also allow exploring applications such as the networked office, smart meters, building, home appliances, and automation systems from industries.

To correctly evaluate the communication made on the cloud, there are chiefly two segments of programs. Among them, comes the fundamental Amazon Web Services program for communication, which sends a text such as “Hello World” to the cloud system of AWS. By the looks of it, this takes place at regular intervals. The second type of communication is that Amazon FreeRTOS certification makes the communication possible all through Wi-Fi.

The program then gets uploaded to the sensor and significant other data to the Amazon Web Services cloud. It also observes the information present in the dashboard and later sends the data from the three distinctive sensors current on-board the AWS regularly. One of the most prominent features of the on-board sensors is that it allows the observation of the data sensor across the dashboard.

RX65N is more of a 32-bit Microcontroller which comes with dual bank flash to bring forward a secure program for an update. Also, the updates are possible using the remote OTA firmware updates. The double flash bank enhances both the SWAP and BGO functions. Moreover, it gets easier for the network control and the system manufacturers in executing them.

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Neelam Dimri

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