Embedded Computing Design

Owing to revolutionary developments in computer architecture and ground-breaking advances in AI & machine learning applications, embedded systems technology is going through a transformational period.

With new-age technologies, customers now have higher expectations from their vehicles than ever before. Many are more concerned with in-car interfaces than with aesthetics or engine power. The majority of drivers desire a vehicle that makes their lives easier and supports their favorite smartphone apps.

Machine Vision has exploded in popularity in recent years, particularly in the manufacturing industry. Companies can profit from the technology's enhanced flexibility, decreased product faults, and improved overall production quality. The ability of a machine to acquire images, evaluate them, interpret (the situation), and then respond appropriately is known as Machine Vision.

Edge AI is the combination of edge computing and edge intelligence to run machine learning tasks directly on end devices. It generally consists of an in-built microprocessor and sensors, while the data processing task is completed locally and stored at the edge node end. The implementation of machine learning models in edge AI will decrease the latency rate and improve the network bandwidth.