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AI solution speeds deployment of computer vision on the edge

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By Rich Pell


Computer vision platform provider alwaysAI has partnered with IoT electronics products and services provider Seeed Studioon on an AI solution that accelerates the deployment of computer vision applications on Seeed’s edge devices by integrating the alwaysAI computer vision platform. The alwaysAI Accelerated Edge Deployment for Developers is designed to address the challenges in deploying computer vision production applications to IoT devices.

This new approach, says the company, will help millions of developers and their companies create computer vision applications that will work seamlessly on their IoT devices, such as Seeed Studio’s reComputer of Jetson series and Odyssey X86. Developers can add the alwaysAI runtime engine and deployment capabilities when purchasing their IoT devices to deploy their computer vision solutions faster than ever.

“Accelerating deployment of computer vision applications on IoT devices will set developers and companies up to be able to scale their CV applications much faster,” says Steve Griset, CTO & Co-Founder of alwaysAI. “We are excited to be able to partner with an innovative company like Seeed Studio to bring the power of computer vision to millions of developers worldwide.”

The integrated alwaysAI solution will allow developers to use 130+ pre-trained models, optimized model training for NVIDIA and X86 devices, and seamless deployment capabilities. alwaysAI and Seeed Studio say they are focused on enabling computer vision deployment at scale for developers around the world to improve their businesses and understand what is happening in the physical world, in real-time.

“This partnership brings enterprise developers an easier, faster, and more effective way to create CV applications, and deploy them onto the edge remotely in scale,” says Eric Pan, CEO and Founder at Seeed Studio. “alwaysAI’s extensive Python APIs and real-time analytics are also ready for a customized solution.”

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