#USA #Las Vegas #Microip #CES 2026 #AIVO Edge AI

Introduction

At CES 2026 in Las Vegas, MICROIP Inc., a Taiwanese provider of Application-Specific Integrated Circuits (ASIC) design and AI software solutions, showcased its cutting-edge AIVO (AI Vision Operation) Edge AI platform. This innovative platform marks a significant leap in scalable, production-ready deployments across multiple sectors such as transportation security, smart agriculture, and autonomous systems.

Overview of the AIVO Platform

The AIVO platform serves as the flagship solution for MICROIP within its Cross-Platform AI Powered Solutions (CAPS) strategy. It aims to address practical constraints faced by Edge AI systems, moving beyond mere performance benchmarks of raw hardware. These constraints include diverse network conditions, limited computational resources, and ongoing operational costs. As highlighted by Dr. James Yang, chairman of MICROIP, CES has become a proving ground for AI to demonstrate its tangible value in real-world applications.

Key Applications of AIVO

The AIVO platform operates across four essential domains:
1. Transportation Security: AIVO facilitates real-time monitoring in subways, railways, airports, and aviation environments. By integrating alerts into control centers and government security systems, it enhances response capabilities without increasing workforce demands.
2. Smart Agriculture: Addressing labor shortages and an aging workforce, AIVO utilizes visual technologies to monitor livestock health and environmental conditions. Designed for low-power consumption and limited connectivity, AIVO ensures stable and long-term deployment in agricultural settings.
3. Autonomous Systems: In the realm of autonomous devices, including AI drones and robotics, AIVO empowers devices to navigate infrastructure and respond to emergencies. Even in GPS-restricted or limited communication environments, AIVO enables real-time object tracking and dynamic obstacle avoidance, expanding operational capabilities in high-risk scenarios.
4. In-Vehicle Applications: AIVO enhances the functionality of in-vehicle systems, ensuring safety and efficiency for drivers and passengers.

Technical Architecture

AIVO employs a distributed master-client architecture, allowing for real-time local inference on edge devices while centralizing system management and decision-making logic. This approach drastically reduces bandwidth requirements by transmitting structured inference results and metadata, maintaining real-time responsiveness even in unstable network conditions. Additionally, AIVO supports heterogeneous real-time multitasking, enabling multiple AI model executions on one hardware platform with dynamic resource prioritization.

Future Prospects

The CAPS solution exemplifies a broader software-controlled hardware strategy by integrating AIVO, XEdgAI, and custom ASIC technologies to optimize software-defined hardware through real-world workload validation. As AI evolves, platforms like AIVO will be pivotal in transitioning from concept validation to everyday operational deployment in critical areas such as transport safety, agricultural efficiency, and autonomous systems.

Conclusion

MICROIP’s AIVO Edge AI platform stands at the forefront of AI application, promising reliable performance under real-world conditions. By addressing the complexity and challenges of deploying Edge AI, MICROIP demonstrates its commitment to leveraging AI for tangible societal benefits at CES 2026.