December 22, 2025
blog
Video and computer vision are currently the most influential AI applications in the embedded industry. While manufacturing, warehousing, and robotics use computer vision and video in almost every modern use case, smart city safety and security focuses almost entirely on video data analysis. And these vertical markets require AI in embedded computing at the edge to power their applications and use cases.
Use cases and applications are as diverse as the business segments they serve. Video analytics, advanced video search, live video stream analysis, video summarization, anomaly detection, quality inspection, process optimization, worker safety, operational efficiency, and quality management systems all require video, computer vision, and AI analysis and action for fast, scalable enterprise use cases that can operate in modern facilities.
Awiros' Video AI Platform is a solution that addresses end-user demands for efficient and scalable video AI. According to Awiros, the platform is designed to deliver robust video AI capabilities from the edge to the core in a unified architecture to enhance overall performance.
The Awiros integration platform transforms camera feeds into real-time results in the form of safer and more secure facilities, improved compliance with regulations and standards, and smoother operations without the need to juggle multiple point tools.
This solution is designed to standardize video AI across many locations, allowing the same applications to run simultaneously at the edge and data center. This is made possible by compact connectivity gateways powered by Intel Core Ultra, Intel Core i7, and Intel Core i9 processors that serve edge sites located close to the cameras. Offsite Intel Xeon servers, on the other hand, can manage scaling to hundreds of streams from a central control point.
Awiros leverages Intel's OpenVINO Toolkit to optimize inference for higher camera density and consistent response. Through Awiros' AppStack, the company helps customers add use cases such as PPE, intrusion, occupancy, queue analytics, fire/smoke detection, and forklift safety, all from a single platform with health monitoring and role-based controls. Awiros customers use their video AI platform in airports, smart cities, factories, and warehouses to consistently deploy and scale AI for video iteratively and at scale.
Intel's compute and management capabilities enable Awiros to offer INT8/FP16 inference, edge-core synchronization, integrated GPU, and AI compact edge nodes. Leveraging Intel technology, Awiros can deliver fast, low-jitter inference, quiet and efficient small-form-factor edge nodes built on Intel hardware, and a unified code path from edge to core that reduces porting and maintenance costs.
In summary, the Awiros platform makes AI video more than just a convenience, it becomes essential.
This blog is part of a series reviewing Intel's AI Edge initiative. Intel recently announced the Intel AI Edge System, Edge AI Suite, and Open Edge Platform. These are designed to help partners integrate AI into existing infrastructure, jump-start development, and increase confidence in system performance and security.
As shown in this series of blog posts, Intel works with software partners to create and optimize AI for edge applications. Intel is working with hardware platforms to enable optimal AI performance for key AI edge workloads and specifying Intel AI Edge Systems, which are available in a variety of power levels, sizes, and performance options.
Learn more about Intel Edge AI.
Ken Briodagh is a writer and editor with 20 years of experience. He loves technology and if he had a teacher he would beta test everything from shoe phones to flying cars. In previous lives, he was a rush order cook, a telemarketer, a medical supplies technician, a funeral home body mover, a pirate, a poet, an alliterator, a parent, a partner, and a usurper to various thrones. Most of his accomplishments are exaggerated or outright false.
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