The BenQ Qisda Group COMPUTEX 2026 exhibition marks a major milestone in the commercial deployment of artificial intelligence, demonstrating that the true value of intelligence lies in practical, real-world execution. Under the overarching theme of “AI In Action,” the Group has transformed complex, abstract technologies into intuitive, highly efficient end-to-end solutions. By focusing on cross-disciplinary resource integration, the collaborative ecosystem aims to deliver measurable productivity gains, optimized asset management, and resilient infrastructure for global enterprises.
As organizations shift away from experimental AI models toward scalable production, the Group’s structural framework offers a clear blueprint for deployment. Here at AarokaTech, we take a close look at how these cross-industry implementations are modernizing operations across four core business sectors.
1. AI Vision & Display: Immersive Fields and Intelligent Workspaces
The integration of advanced visual computing with next-generation display hardware is reshaping interactive environments, ranging from large-scale recreational spaces to corporate boardrooms and digital classrooms.
Sports and Entertainment Simulations
Utilizing an immersive football stadium setup, the Group demonstrates the capabilities of its LH860ST projection solution. Powered by advanced software layers, an integrated AI Coach provides real-time posture detection and movement guidance to optimize athletic performance. This configuration leverages dual-layered skeleton node tracking to enable multi-user interaction without requiring physical wearable devices. To preserve visual fidelity across multi-projector setups, factory-grade white balance calibration guarantees seamless image consistency and ultra-low latency.
Smart Education Frameworks
By marrying AI with Internet of Things (IoT) hardware, the smart classroom solution unifies interactive displays, cameras, and projectors under a centralized cloud architecture. Managed via specialized platforms like AMS, DMS, and X-Sign, the architecture delivers:
- Intelligent Interaction: Built-in optical character recognition (OCR), automated handwriting analysis, text-to-speech (TTS), and instant Q&A search engines.
- Environmental Safety: Real-time air quality tracking and localized automated environmental adjustments to preserve student health.
Next-Gen Corporate Collaboration
The award-winning CP Series digital whiteboards introduce seamless Google Meet integration alongside rapid NFC and QR-code account synchronization. During collaborative sessions, embedded vision models translate gesture controls, parse live content, and autonomously compile action-item summaries. Driven by high-performance MediaTek processors, these displays register a 176% leap in localized AI computing performance while remaining fully compatible with remote enterprise management tools.
Commercial UAVs and Rugged Unmanned Systems
Expanding beyond static screens, a diverse portfolio of commercial unmanned aerial vehicles (UAVs) covers tasks from pilot training and agricultural monitoring to solar panel maintenance. These aerial systems rely on localized edge processing for real-time situational awareness and obstacle avoidance. For extreme operational constraints, ruggedized display modules from DATA IMAGE deliver IP65/IP67 ingress protection, high-brightness anti-glare filters, and localized dimming arrays to ensure mission-critical visibility under direct sunlight or severe weather.
2. AI Infrastructure: High-Performance Data Centers and Next-Gen Cooling
To sustain heavy AI workloads without exceeding thermal or environmental limits, hardware architectures must undergo structural upgrades. The infrastructure division addresses this bottleneck through targeted partnerships with enterprise networking and hardware specialists.
| Infrastructure Component | Key Technology Platform | Operational Breakthrough |
| Rack-Scale AI Processing | AEWIN Technologies Architecture | Comprehensive, one-stop environment optimized for real-time big data processing and large-scale analytics. |
| Thermal Mitigation | Arivor Technologies 2P DLC | Integrated two-phase direct liquid cooling designed to manage extreme high-density server heat loads. |
| High-Speed Networking | Alpha Networks 1.6T Data Center Switch | Leverages Broadcom TH6 ASIC tech to unlock 102.4T switching capacity across a 64-port matrix. |
This hardware integration achieves an outstanding Power Usage Effectiveness (PUE) rating between 1.1 and 1.2, reducing total data center cooling power draw by more than 20% while matching standard ORv3 rack constraints.
3. AI Solutions & Smart Manufacturing: Autonomous Operations
The operational landscape benefits immensely from multi-agent configurations and edge visual monitoring, removing manual bottlenecks from the factory floor to retail storefronts.
Agentic Retail and Store Management
The WiXtar platform introduces a continuous “AI Store Manager” paradigm. Using Vision-Language Models (VLM) alongside the D8AI Agent Builder, an autonomous 24-hour inspection robot systematically transitions between distinct daily operating shifts. It monitors standard operating procedures (SOP), tracks real-time inventory depletion, and provides predictive loss prevention. Complementing this, automated self-checkout points utilize VLM spatial recognition to track items instantaneously, dropping labor overhead and streamlining transaction throughput.
Enterprise-Grade Agent Orchestration
For on-premises security and localized computation, the D8AI platform offers a graphical interface to map out intricate enterprise service flows. This setup connects secure local large language models (LLMs) with high-capacity GPU clusters. Similarly, solutions like Grandsys’s GEAP platform combine text-to-speech pipelines with cloud backbones to process corporate service logs, condensing complex post-call workflows down from minutes to single-click summaries.
[Edge Camera / Sensor Input]
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[DFI Rugged Hardware Platform] ──► (Vision AI / VLM Analysis)
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[APLEX AVS-553 Ultra-Speed Core] ──► (Inspects 1,000 units/min)
Industrial Edge Automation
DFI, in tandem with specialized chip developers, presents high-durability hardware designed to run vision models in punishing industrial environments. A primary example is the APLEX AVS-553 edge system. Outfitted with Intel 14th Generation Core infrastructure and accommodating NVIDIA RTX 50-series expansion, it pairs with WinEdge-V software to analyze up to 1,000 objects per minute—virtually eliminating missed manufacturing defects. Furthermore, the URSROBOT AMR BOX unites primary AI processing (“the brain”) and low-level motion control (“the cerebellum”) into a unified architectural footprint, dramatically shortening deployment times for outdoor autonomous mobile robots.
4. AI Hospital and Wellness Ecosystem: Clinical Precision
In high-stakes clinical settings, the application of smart systems improves workflow traceability and patient diagnostic speed. DFI’s medically certified MPC350-RPS edge computer acts as the dependable core engine for these environments.
By integrating MarkeTop Smart Solutions’ automated wound recognition tools, clinical personnel can instantly capture, analyze, and catalog localized tissue damage metrics. The system calculates physical wound boundaries and tracks recovery profiles with high mathematical consistency, mitigating subjective human error. Because the platform natively connects with standard Hospital Information Systems (HIS), tracking data is automatically archived to maintain an audit-ready, standardized electronic health record.
Commitment to Circular Engineering and ESG Design
The BenQ Qisda Group COMPUTEX 2026 platform also serves as an industry demonstration for sustainable event execution, marking its third consecutive year earning ISO 20121 Event Sustainability Management honors. The dedicated ESG Zone showcases how carbon reduction practices are embedded directly into the product lifecycle long before assembly begins.
By prioritizing the sourcing of post-consumer recycled plastics, trimming down structural component weight, and deploying smart power-saving microcode for end-users, the Group proves that aggressive processing power can coexist responsibly with strict carbon neutrality targets.
