December 22, 2025
Blog
In a notable advancement for the embedded computing sector, Awiros has introduced a comprehensive Video AI platform, aimed at fulfilling the increasing demand for efficient and scalable video analysis solutions across various industries. As of December 2025, video and computer vision have emerged as crucial applications for artificial intelligence, particularly in manufacturing, warehousing, robotics, and smart city safety and security. These sectors leverage video data analysis to improve operational efficiency and enhance safety protocols.
The Awiros Video AI platform integrates a unified architecture that enhances performance across multiple locations, enabling simultaneous operation at the edge and in centralized data centers. This innovative design allows businesses to convert camera feeds into actionable insights, leading to improved facility safety, regulatory compliance, and streamlined operations without relying on disparate tools.
Equipped with Intel’s Core Ultra, Core i7, and Core i9 processors, the platform utilizes compact connectivity gateways positioned close to camera locations. Meanwhile, Intel Xeon servers facilitate the scaling of operations from a central point, managing hundreds of streams efficiently. This architecture is particularly beneficial for organizations that require robust video analytics capabilities across expansive facilities, including airports and factories.
Awiros has also harnessed Intel’s OpenVINO Toolkit to optimize inference processes, resulting in higher camera density and more consistent performance. Through its AppStack, the platform allows users to implement a variety of use cases such as personal protective equipment (PPE) monitoring, intrusion detection, occupancy analytics, and fire safety measures—all from a single platform equipped with health monitoring and role-based controls.
The integration of Intel’s computational capabilities enables Awiros to offer advanced features such as INT8/FP16 inference, edge-core synchronization, integrated GPU solutions, and AI compact edge nodes. This allows for rapid, low-jitter inference, enhancing overall system responsiveness while maintaining a compact form factor that fits seamlessly into existing infrastructure.
This development is part of a broader initiative by Intel to enhance its AI Edge offerings, which includes the introduction of Intel AI Edge Systems, Edge AI Suites, and the Open Edge Platform. These tools are designed to streamline the integration of AI into existing systems, improving both performance and security for partner organizations. Intel’s collaboration with various software partners aims to optimize AI for edge applications, ensuring that these enhancements meet the diverse needs of the market.
As Awiros continues to deploy its Video AI platform across various sectors, its potential to transform video analytics into an indispensable tool for operational success becomes increasingly evident. By standardizing video AI across multiple locations and facilitating scalability, Awiros is positioning itself as a key player in the fast-evolving landscape of embedded computing.
For more information, visit Intel Edge AI.
Ken Briodagh is a writer and editor with two decades of experience under his belt. He is in love with technology and if he had his druthers, he would beta test everything from shoe phones to flying cars. In previous lives, he’s been a short order cook, telemarketer, medical supply technician, mover of the bodies at a funeral home, pirate, poet, partial alliterist, parent, partner, and pretender to various thrones. Most of his exploits are either exaggerated or blatantly false.
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