Autonomous driving, surgical robots, automated factories, the latest innovations depend on sophisticated embedded vision technology. Explore our resources to stay up to date with embedded vision trends and technology.
Artificial Intelligence (AI) will become so commonplace it will be taken for granted. We can say this with some confidence, because so many semiconductor manufacturers already have embedded processors that are designed for AI.
Ultra-low power Bluetooth-enabled image sensors provide an easy way to add ubiquitous intelligence to the IoT. By using cloud-based AI, smart cameras will get smarter over time, without increasing the complexity of the end-application.
Bluetooth-enabled, ultra-low-power image systems and AI-enabled object recognition make it easier to scale up the IoT. For the first time, low power solutions make smart cameras a cost-effective route to adding intelligence everywhere.
Machine vision (MV) and artificial intelligence (AI) provide valuable inspection and analysis capabilities to a wide range of leading-edge applications. As with all advanced technologies, there are pitfalls to avoid.
Field programmable gate arrays (FPGAs) deliver many advantages to artificial intelligence (AI) applications. How do graphics processing units (GPUs) and traditional central processing units (CPUs) compare?
One of the biggest challenges in developing vision systems for autonomous vehicles is handling the large amounts of data created by cameras and sensors.
Improvements in processing performance, power consumption, image sensors, computer algorithms and machine learning have elevated vision to a higher level.