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The rapid development of vision technology in embedded systems is providing ultra-high-speed imaging solutions for automotive safety, machine vision and motion analysis. This, in turn, translates into significant improvements in performance and imaging capabilities through more powerful image sensors and smaller pixel architectures.

Machine vision technology uses image recognition algorithms to identify objects in images and enables more detailed and accurate images of objects without distortion in a wide range of applications such as industrial automation, robotics, agricultural drones, and 3D modeling.


First, small but powerful processor platforms are reducing the cost of traditional machine vision systems. Next, new types of image sensors, with the help of powerful, low-cost and energy-efficient processing, are rapidly evolving to meet the needs of industrial-grade imaging applications such as optical inspection and industrial automation.

Image sensors are a key element of any machine vision design, quickly reinvented on both speed and resolution boundaries. The new image sensor enables higher frame rates without compromising image quality. And, to achieve resolution, these image sensors have a robust optical format that ensures the imaging detail and performance required for modern machine vision and inspection use cases.

In addition, these low-power embedded systems can support multiple product resolutions while satisfying a variety of pixel functions. In these embedded vision systems, which are rapidly evolving with new pixel architectures, larger pixels can exchange resolution in a given optical format for higher imaging sensitivity.