AIoT and Edge AI Trends in Enterprises

As enterprises increasingly adopt artificial intelligence in their operational processes, the AIOT model - combining AI with intelligent device infrastructure - is emerging as a key technology trend. Rather than processing all data in the cloud, many systems are now shifting toward Edge AI, which enables data analysis and processing directly at edge devices to reduce latency, improve system stability, and ensure reliable operation in real-world environments.

In response to this trend, EYEFIRE and iBASE Technology have partnered to integrate EYEFIRE’s AI Vision software platform with iBASE’s Edge devices, creating a complete AIoT solution for enterprise applications.

EYEFIRE’s Capability to Transform IP Cameras into AI Cameras

Within this architecture, Vision AI and Safety AI developed by EYEFIRE are responsible for analyzing image and video data in real time, enabling the detection of objects, behaviors, and operational situations.

One of the key highlights of the platform is its ability to transform existing IP camera systems into AI-powered cameras, allowing enterprises to deploy AI-driven applications quickly without replacing their existing camera infrastructure.

Meanwhile, iBASE Edge devices provide high-performance hardware infrastructure designed for stable operation in industrial environments. Processing data directly at the edge reduces latency, minimizes reliance on cloud infrastructure, and ensures system reliability even in environments that require continuous operation.

Edge AI for Intelligent Operational Systems

The combination of EYEFIRE’s AI software and iBASE’s Edge devices forms a complete Edge AI architecture, enabling AI models to run directly on edge hardware in real-world environments. This allows enterprises to deploy AI applications more quickly and flexibly.

This approach supports a wide range of enterprise use cases, including production monitoring, workplace safety management, security, and smart factory operations. It also reflects a growing industry trend in which AI systems are increasingly deployed directly within operational environments.

EYEFIRE Brings AI Vision Solutions to Embedded Tech Day 2026

As a demonstration of the practical applications of these solutions, EYEFIRE showcased its Vision AI and Safety AI systems at Embedded Tech Day 2026, hosted by AMD on March 14 in Hanoi.

At the EYEFIRE x iBASE booth, visitors had the opportunity to experience live demonstrations of Vision AI and Safety AI technologies. The system analyzed video data from cameras in real time to identify objects, detect potential risks in workplace environments, and generate immediate alerts.

Participating in and presenting solutions at a major technology event within the AMD ecosystem also highlights the real-world potential of the Edge AI solutions jointly developed by EYEFIRE and iBASE.