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.
Autonomous Mobile Robots are performing tasks that are too dangerous, tedious, or costly for humans. Designing AMRs involves many technical and business challenges. This article covers these challenges and how Avnet will help you overcome them.
The core component in any machine vision system, the image sensor has a major influence on product performance—but there's no universal right fit. There are many aspects to consider, and every manufacturer's product is different.
Today’s most popular 3D imaging technologies are Time of Flight (ToF), stereo vision and structured light. This article overviews the basic operating principles and the relative strengths, weaknesses and trade-offs associated with each option.
From planes, trains, and automobiles to farm equipment and Martian rovers, engineers are extending the capabilities of autonomous technologies to achieve simple productivity improvements and a better understanding of big issues like global warming.
Some may think of machine learning as the supporting act for AI, but in the industrial sector it is the main attraction. We spoke with Avnet Silica’s Michaël Uyttersprot, manager, system solutions, AI/ML and Vision, EMEA, to find out more.
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.
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?
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.
See how designers can capitalize on the power and efficiency of AMD Xilinx's Zynq Ultrascale+ MPSoC devices to implement designs using Avnet's Embedded Vision Kits.
In the growing market of embedded vision, there’s a need to not only rapidly scale to compete but to also be ready for machine learning’s effect on the space. That’s all while keeping up with lightning fast design cycles.
Embedded vision technology will soon touch nearly every aspect of our daily lives –- from automatic vacuum cleaners in our homes to augmented-reality applications in our mobile phones and even in the self-driving cars of the future.