Facial recognition only creates value when it drives the right action. This free customer solution whitepaper from CyberLink and Asteria shows how FaceMe® Security and Gravio combine recognition events, sensor context and on-premise automation, with two integration patterns, five measurable outcomes, the reference architecture and a three-step fit assessment.

AI readiness is the capacity to adopt, integrate and derive sustained value from AI. This guide distils six established frameworks from Gartner, Deloitte, McKinsey, Oxford Insights, the European Commission and the ITU into one practical six-dimension model, with a self-assessment scorecard and a roadmap for whatever score you land on.

Airports can unlock more value from camera infrastructure by combining traditional computer vision with VQA for more contextual and flexible use cases. Gravio connects these visual insights with operational systems, applies business logic, and triggers actions, creating a practical way to test, refine, and scale airport AI without rebuilding the entire technology stack.

Monitor equipment temperatures in real time with Gravio and Axis Communications Thermal Cameras. Learn how this no-code edge solution helps manufacturers and facility operators detect overheating early, automate alerts, visualize temperature trends, and improve preventive maintenance while reducing downtime.

The biggest challenge in Physical AI is not building intelligent models, but orchestrating devices, systems, and workflows across the enterprise to achieve production scale.

Explore why Physical AI increasingly relies on edge-first architectures, and how low latency, reliability, and hybrid edge-cloud deployments enable intelligent systems to operate effectively in real-world environments.

Explore how enterprises are using Visual Question Answering (VQA), Computer Vision, and AI Vision technologies to build event-aware operational systems that combine visual intelligence, workflow orchestration, and real-world automation.

This article breaks down the Physical AI stack into its core layers and explains how perception, edge compute, intelligence, and orchestration work together to enable real-time, scalable systems in the physical world.

Physical AI is not defined by robots, but by systems that sense, decide, and act on the physical world through orchestrated intelligence.

Official Axis Partner Solution Note detailing the architecture, integration approach, and use cases for edge AI and physical automation with Gravio.