DeepView - The Gold Standard for Intelligent IoT Vision Middleware
Helping Our Customers Efficiently Solve the Hardest Edge AI and Machine Learning Challenges
Smarter devices. Safer environments. Increased product value. Novel customer experiences. These are just some of the benefits that you can achieve with Visual Intelligence at the Edge. With more than a decade of experience helping our customers get their embedded computer vision solutions into production, Au-Zone Technologies delivers DeepView advanced vision solutions and tools to support your AI and machine learning project development and help you quickly and confidently realize these benefits.
What We Do
We combine our DeepView solutions and tools with our computer vision expertise to solve your biggest design challenges and meet the rigorous requirements of your intelligent vision project. Whether you need turn-key vision applications, high-performance machine learning models, model optimization tools, or a fine-tuned embedded vision pipeline, we have you covered.
Helping You Succeed
Au-Zone’s production-ready AI and ML Middleware and Vision Starter kits will help you minimize development risks, reduce costs, and accelerate development of your proof of concept or final product. DeepView™ application pack, model pack, development pack, and vision pack are compatible with and optimized for NXP's eIQ Toolkit and processors including the i.MX8 Applications Processor (Arm Cortex-A, GPU, and Neural Processing Unit) and the i.MX RT Crossover MCU product families (Arm Cortex-M7).
What is DeepView™?
DeepView™ Packs are a family of AI software products that help you design, train, evaluate, and deploy leading-edge machine learning applications. Use DeepView directly with the Bring Your Own Model (BYOM) or Data (BYOD) development workflows of NXP's eIQ Toolkit or use it in your own model development environment to quickly evaluate and productize ML solutions to meet the challenges of your intelligent vision application.
DeepViewRT™ Engine is a production-ready inference engine that is deployable on most embedded processor architectures including many of NXP’s product families: i.MX 8, i.MX 7, i.MX 6, and i.MX RT. The engine performance is optimized for ML workloads on each compute core and SoC, whether it be MCU, CPU, GPU, or NPU.
When combined, the DeepView Suite provides developers with a safe and trusted alternative to quickly achieve optimal performance, take control software lifecycle management issues and reduce or avoid the most common AI/ML project risks. Some examples include issues related to backwards compatibility, unplanned updates, IP Provenance & licensing liabilities which are often overlooked with public models, public datasets and Open Source Software alternatives.
Example DeepView Applications
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