Deep Learning with Embedded Vision
Embedded vision enables a large number of new applications that rely on compact size, low power consumption and low costs. Combining deep learning and cost-effective embedded vision systems can lead to innovative embedded applications. Therefore, much of the deep learning action can and should happen at the edge where smart, connected devices provide faster runtime responses, lower latency and advanced privacy and security.
Basler embedded vision systems for deep learning
At Basler, a dedicated team of hardware and software engineers builds complete deep learning embedded vision solutions. Besides offering a wide variety of high-quality camera modules with different sensors, frame rates and interfaces, we also integrate various high performing edge computing options. Our products work with different processor options from all major manufacturers, namely NXP® and NVIDIA®. For rapid prototyping we also supply you with ready-to-start development kits to accelerate your development.
The advantages of Basler products for embedded deep learning applications are:
compact systems due to small form factor
lowest system cost due to lean hardware design
scalability with different processor options from all major manufacturers
industry-proven and long-lasting hardware components
easy cloud integration (AWS, MS Azure, Google)
Implementing deep learning in the cloud or at the edge
No matter which processing unit you work with: we offer you the driver packages and software to get your deep learning application up and running. We support the cloud integration of Amazon Web Services (AWS), Microsoft Azure, or Google's cloud platform. Want to run your artificial neural network "at the edge"? No problem! Our embedded vision technology helps you to operate one or more vision systems for deep learning applications "at the edge".