Lets look at the different hardware devices that make the edge AI possible. We will also see how many of them can be combined to create value in a real-world situation. The key is to keep an eye on the BLERP analysis and understand which kind of device is suitable for which kind of data.
Processors at the Edge AI Read More »
Sensors are electronic components that give the edge devices the power to interact with the environment. Sensors give the devices a stream of data. The stream of data can be in a few formats like Types of Sensors Sensors can be grouped by their modality. Modality is the way in which something happens or is
Sensors and Signals at Edge AI Read More »
An extremely important part of an AI project is that it works correctly in the real world. AI being new and rapidly evolving does suffer from some inherent problems. They are vulnerable to a class of issues that do seem to be working well at first but in reality, they may be failing with dire
Responsible, Ethical and Effective AI Read More »
As we learned in the previous post Edge AI is particularly useful where there is a lot of sensor data and limited compute functionality. In a city, it may seem like we have all the bandwidth available but 50% of the earth is untouched by human development, a very small % of the earth has
Edge AI in Real World Read More »
Embedded Systems Embedded systems are computers that control the electronics of physical devices. Devices such as Bluetooth headphones, and brushes to the engine interface of cars. Embedded systems are small for microcontrollers like a digital watch or bigger such as the system that controls a smart TV. They usually perform one specific dedicated task. Embedded
Since we understand the devices and gateways, let us go deeper into the IoT Hub. We will specifically talk about the features of the Klyff Hub as well. Some terminology would be handy to get an understanding of the features of the Hub Telemetry: Telemetry is the recording and transmitting of values received by an IoT
Decoding the Klyff Hub Read More »
In the last blog, we learned about the devices and gateways. In this blog, we will learn more about device management and control. Device Management do tasks like Messages Messages received on the IoT Hub can be further enriched or transformed. For example, they add information to the message to identify the device or the
Understanding Device Management & Control Read More »
In the last blog, we went through the basics of edge computing, in this blog we will delve a little deeper to understand devices and how they connect with gateways. Code on Devices The code on the devices performs one or many of these The device code is usually containerized. For Example, docker. These containers
Understanding Edge Devices & Gateways Read More »
The interplay between AI, cloud, and edge is a rapidly evolving domain. Earlier, the edge was supposed to capture just data and send it back to the datastore where it was used for analysis and retrieval later. Now, through machine learning and deep learning, models can be trained on the cloud and pushed to the
Understanding Edge computing Read More »