#USA #Las Vegas #Edge AI #Microip #AIVO

Introduction

Las Vegas was the stage for innovation as MICROIP Inc., a Taiwanese ASIC design service provider, showcased its revolutionary AIVO (AI Vision Operation) Edge AI platform at the CES 2026 event. This cutting-edge platform is designed for scalable deployment across diverse sectors, notably in transportation security, agriculture, and autonomous systems.

The AIVO Platform

The AIVO platform stands as MICROIP's flagship offering within its comprehensive CAPS (Collaborative AI Solutions for Platforms) framework. Unlike many AI solutions that focus solely on performance metrics, AIVO addresses real-world limitations presented by large-scale Edge AI systems. The platform considers factors such as heterogeneous network conditions, limited computational resources at the network edge, and the challenge of minimizing long-term operational costs.

Real-World Applications

During the CES 2026 presentation, MICROIP highlighted the practical applications of AIVO across different sectors. In transportation security, AIVO enables real-time monitoring for subways, railways, and airports, integrating alerts into control rooms to enhance response capabilities without the need for additional workforce. This transformative approach ensures heightened security while maintaining efficiency.

In smart agriculture, AIVO confronts labor shortages and an aging workforce by offering tools for monitoring livestock health and environmental conditions through sophisticated camera functionalities. The platform operates with low power consumption and limited connectivity, making it ideally suited for rural settings while translating expert agricultural knowledge into actionable AI models.

AIVO's capabilities extend to autonomous systems, which include AI-driven drones and robotics. The platform enhances device autonomy for infrastructure inspection and disaster response, enabling real-time object tracking and dynamic obstacle avoidance even in GPS-denied environments. This feature significantly expands the operational range of autonomous systems in high-risk scenarios.

Distributed Architecture

At its core, AIVO employs a distributed server-client architecture, facilitating real-time local inference on edge devices while centralizing system management and decision-making logic. By transmitting structured inference results and metadata instead of raw video streams, the platform drastically reduces bandwidth demands and maintains real-time responsiveness, even amid unstable network conditions. Furthermore, AIVO accommodates heterogeneous multitasking, allowing multiple AI models to operate concurrently on a single hardware platform with dynamic resource prioritization.

Strategic Vision

The introduction of AIVO is part of MICROIP's broader strategy to advance software-driven hardware solutions. By integrating technologies such as XEdgAI and CATS (Custom ASIC Technologies and Solutions), AIVO allows for software-defined optimization validated by real-world workloads.

Conclusion

As articulated by Dr. James Yang, Director of MICROIP, "CES is where AI must demonstrate its value in real-world applications." The AIVO Edge AI platform is explicitly crafted to function reliably in real deployment scenarios, transcending mere concept validation to facilitate everyday operational efficiencies in transportation security, agriculture, and autonomous systems. The innovations introduced by MICROIP at CES 2026 mark a significant milestone in the evolution of Edge AI technologies, proving their potential to reshape industries worldwide.