MICROIP Unveils AIVO Edge AI Platform at CES 2026 for Scalable Deployments in Various Sectors

MICROIP's AIVO Edge AI Platform Shines at CES 2026

At the bustling venue of CES 2026 in Las Vegas, MICROIP Inc., a Taiwanese provider specializing in ASIC design services and AI software solutions, made waves by unveiling its revolutionary AIVO (AI Vision Operation) Edge AI platform. This innovative platform is set to transform operations across transportation security, smart agriculture, and various autonomous systems, showcasing its ability to enable scalable and reliable implementations in real-world environments.

The AIVO platform is a part of MICROIP’s broader strategy, utilizing its CAPS (Cross-Platform AI Powered Solutions) architecture. This innovative structure emphasizes scalable and production-ready Edge AI solutions that are ready to be deployed in varied conditions. Rather than merely aiming for high benchmark scores associated with raw computational power, AIVO has been thoughtfully designed to overcome the practical limitations typically faced in large-scale Edge AI settings. These include challenges such as heterogeneous network conditions, limited computational resources at the edge, and long-term operational costs.

Dr. James Yang, President of MICROIP, highlighted the importance of practical application at CES, stating, "CES is a place where artificial intelligence must prove its value in practice. The AIVO platform has been built to operate reliably in real-world conditions, facilitating the adoption of AI in critical areas such as transportation security, smart agriculture, and autonomous systems. This edge technology enables AI to transition beyond concept proofing into everyday use."

The AIVO system operates on a master-client distributed architecture. This allows for real-time inference to be processed locally on edge devices, while centralizing system management and decision-making logic. By transmitting structured inference results and metadata, rather than full video streams, AIVO significantly reduces the bandwidth needs and maintains responsiveness in real-time, even within unstable network environments.

Moreover, AIVO is designed to facilitate heterogeneous multitasking in real-time, allowing multiple AI models to run concurrently on a single hardware platform with dynamic resource prioritization. This illustrates a step forward in achieving efficiency across diverse operational scenarios.

During CES 2026, MICROIP highlighted three key areas where AIVO's robust capabilities are already being harnessed for high-reliability applications:

1. Transportation Security

In the realm of transportation security, AIVO enhances the monitoring of metro systems, railways, airports, and aerial environments in real-time. The platform seamlessly integrates alerts with control centers and governmental safety systems, enhancing response capabilities without necessitating an increase in workforce demand.

2. Smart Agriculture

With the pressing issues of labor shortages and an aging agricultural workforce, AIVO addresses these challenges by monitoring livestock health and environmental conditions through advanced vision systems. This AI-driven approach is not only optimized for low energy consumption but also functions successfully in environments with limited connectivity, thus translating specialized agricultural expertise into actionable AI models that can be implemented practically.

3. Autonomous Systems

AIVO supports the autonomy of AI drones and robotic systems in infrastructure control and disaster response. This capability proves vital, especially in GPS-denied environments or areas with communication limitations. AIVO enables real-time object tracking and dynamic obstacle avoidance, expanding the operational range of autonomous systems in high-risk scenarios.

The CAPS architecture encapsulates a wider strategy by MICROIP for software-defined hardware integration, incorporating AIVO alongside XEdgAI and CATS (Custom ASIC Technology Solutions) to optimize software-defined hardware solutions verified through real-world applications.

In conclusion, the unveiling of the AIVO Edge AI platform at CES 2026 marks a significant milestone in the deployment of AI technologies across critical domains. With its emphasis on practical use and scalability, AIVO not only promises to enhance efficiency and safety in transportation, agriculture, and autonomous systems but also sets a new standard for AI applications in everyday life.