Applications

Object Detection & Classification

Object detection & classification uses machine learning as a base, identifying objects within a video or image, and specifying where they are within said video or image. It isolates these elements using bounding boxes, and applies classifications to these objects as set by the user beforehand.

Xilinx Kria KV260 Vision AI Starter Kit

The Kria KV260 Vision AI Starter Kit is ideal for vision application development without requiring complex hardware design knowledge. The KV260 is based on the Zynq UltraScale+ ...

PlanetSpark Edge AI Box X7

The PlanetSpark Edge AI Box X7 is an arm-based, AMD Zynq Ultrascale+ MPSOC computing device for easy deployment on-site or mobile deployments.

With it’s included middle...

ADI MAXIM MAX78000 AI Microcontroller

The MAX78000FTHR is a rapid development platform to help engineers quickly implement ultra low-power, artificial intelligence (AI) solutions using the MAX78000 Arm® Cortex® M4...

NXP S32V2 Processors for Vision Machine Learning and Sensor Fusion

The S32V234 is a second-generation vision processor family and member of the 64-bit Arm® Cortex®-A53 S32V processors. The S32V234 processor offers an image signal processor (I...

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Facial Recognition & Detection

Facial recognition and detection, commonly used in security systems to allow access, uses a camera system to capture the facial features of an individual, comparing them with a preset database of faces, pinpointing similar facial features and subsequently allowing or denying access.

Smart City

A smart city usually refers to an urban area with advanced technological implementations. The technology can come in many forms, but the common idea of a smart city is to make use of various electronic installations fitted with voice activation mechanisms and sensors to collect data from its surroundings, including that of its inhabitants, and the environment. The data collected can be related to traffic conditions, waste management, power plants, education, healthcare, human traffic, and population density, among a great many other statistics. The information collected from these sensors can then analysed, discerning patterns within the data, and using these inferences to develop an understanding so as to be able to manage assets, resources, and services and improve operation efficiency across the different sectors from which the data was collected from.