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Docker Vision's AI-powered computer vision platform automates the identification and verification of containers, vehicles, and rail wagons across port and terminal operations. Using real-time AI-driven OCR and computer vision, the solution validates container numbers, ISO codes, IMDG labels, seal presence, container damage, wagon numbers, and vehicle license plates, replacing manual inspections with real-time digital workflows. Integrated with Terminal Operating Systems (TOS), Vehicle Booking Systems (VBS), and ERP systems, it provides audit trails, safety monitoring, damage-dispute support, and ESG intelligence.

IrisGo-mcp brings agentic AI to smart home automation, using local context to adapt connected-device actions as needs change. Onboarded to the ASUS NUC 15 Pro+, it pairs an MCP-enabled application with a compact edge system powered by Intel® Core? Ultra processors (Series 2). Local processing supports responsive automation and helps limit the movement of sensitive data to the cloud.

TransitWatch is an AI-powered video intelligence solution that transforms conventional surveillance infrastructure into an intelligent edge-based monitoring platform for transportation and public infrastructure environments. Deployed on the ASUS NUC 15 Pro+ and powered by Intel® Core? Ultra processors (Series 2), the solution delivers real-time video analytics directly at the edge, enabling rapid detection of safety, security, and operational events with low latency and reduced infrastructure dependency.

Monitoreal Agentic Vision AI Platform transforms existing IP camera deployments into intelligent, privacy-centric systems that can perceive, reason, and act locally without requiring cloud connectivity or infrastructure changes. Deployed on the ASUS NUC 16 Pro, the solution leverages Intel® Core? Ultra Series 3 processors to deliver advanced edge AI in a compact, scalable form factor.

SeeChange's Vision AI platform helps retailers reduce shrink, improve self-checkout accuracy, and enhance customer experiences through real-time computer vision analytics. The solution monitors self- checkout transactions using existing cameras and sensors, automatically detecting events such as mis- scans, barcode switching, product stacking, walkaways, and other loss-prevention risks.

SensoryAI brings physical AI to food service by combining Ella robotics, SensoryOS and intelligent agents in one connected platform. Showcased at Computex 2026, Ella runs on Intel® Core? Ultra Series 3 processors and the Innodisk APEX-E400 edge AI platform, using CPU, integrated GPU and NPU resources with OpenVINO? for local AI inference.

Sodaclick provides a conversational voice AI solution designed for quick service restaurant drive-thrus. Onboarded to the ASUS NUC 14 Pro powered by Intel® Core? Ultra processors and optimized with the OpenVINO? toolkit, the solution runs LLM-driven voice recognition to enable fast, highly accurate, and human-like customer interactions with low latency. The ASUS NUC 14 Pro provides a compact, power- efficient edge AI platform that enables low-latency voice interactions and consistent performance without heavy reliance on cloud processing.

EdgeExl is a school curriculum-aligned AI Teacher that interacts with students in real time using state-of-the-art small language models running locally on the Panache PDLMT-265-AI, an AI- ready mini tower powered by the Intel® Core? Ultra 7 processor 265 with Intel® AI Boost NPU. Using hardware virtualization (SR- IOV), a single system supports up to four users, enabling cost- effective deployment in schools.

SamurAI is Tapway's end-to-end Vision AI platform that transforms existing CCTV networks into real-time operational intelligence, without replacing cameras. Its modules cover people counting, footfall and dwell-time analytics, queue management, vehicle and license plate recognition, PPE and safety compliance, and automated incident alerts, all managed from a single dashboard.

UniStop's Mr.R is an AI-driven autonomous retail terminal combining a six-axis robotic arm, multi- temperature-zone storage, computer vision, and a large-format 3D curved LED/touchscreen display to deliver a full unmanned retail experience.

The ZEDEDA Edge Intelligence Platform enables organizations to deploy, manage, secure, and scale AI applications across thousands of distributed edge locations through a centralized control plane. The platform built on EVE-OS, the open-source foundation developed by ZEDEDA and contributed to the Linux Foundation, unifies edge infrastructure orchestration, AI application and model lifecycle management, and autonomous agent operations.

Intel's SoC supports a wide range of cameras and interfaces, such as MIPI and GMSL, giving you the flexibility to design robust vision systems.