Document Library

Consulting firm designs a 5G RedCap IoT network with deep learning models running on Intel® Core™ i9 processor-based servers and optimized with OpenVINO™ toolkit to process both image and sensor data

Edge AI Scene Descriptor is a modular, event-driven edge AI application that captures video frames from a local media store (/srv/sr/media), processes them through an on-device Florence-based AI model (scene-descriptor, FastAPI on port 8000) to generate rich textual scene descriptions, and asynchronously routes the resulting structured events through RabbitMQ to an ingestion and API service (event-reader) that persists the data and exposes it via REST (port 8001) for external consumption — all while a background cleanup service (edge-event-data-purger) enforces data retention policies, making the entire pipeline self-contained, lightweight, and purpose-built for real-time scene intelligence at the edge.

Premisys provides a full-stack agentic AI platform for manufacturers, supporting preventive maintenance, quality assurance and other critical use cases. The platform unlocks the power of AI to improve operational efficiencies while enabling successful and timely deployments across industrial environments. Premisys uses domain-specific SLMs and statistical industrial analytics to deliver accurate, explainable manufacturing insights beyond generic LLM copilots.

Encrypted Traffic Detection Emerges as a Critical Requirement for Network Supervision; NSFOCUS Utilizes Fastjoy Optimized by Intel to Enhance AI-Based Encrypted Traffic Detection Solution

DeepWall AI Perimeter Protection delivers intelligent, real-time perimeter security for critical infrastructure and industrial sites by transforming existing cameras into proactive detection systems at the edge. Using advanced computer vision, DeepWall identifies, tracks, and classifies intrusions and unauthorized access across large, complex perimeters with high accuracy and minimal latency.

The NEXCOM NDiS B363 is a rugged, fanless edge AI system designed to deliver dependable intelligence where data is created—at the network edge. Powered by the latest Intel® Core™ Ultra processors with an integrated NPU, CPU, and GPU, the system efficiently accelerates AI inference while balancing performance and power usage. This heterogeneous compute architecture enables real-time vision and analytics workloads without relying on cloud connectivity.

Powered by Intel® Xeon® 6 SoCs, the FTA 5190, handles larger key size and complex math needed for post-quantum cryptography (PQC).

Built for public safety and enterprise operations, OKEAN® leverages cutting-edge computer vision, deep learning, and edge computing to process live and recorded video streams—extracting meaningful, real-time intelligence from every frame. What sets OKEAN®, our video analytics software, apart is its powerful BI engine and intuitive dashboards, purpose-built for command centers, law enforcement agencies, corporate EHS teams, and city administrators.

Falcons Defender is an edge-based AI solution developed by Toronto-based Falcons.AI, embodying a Canadian approach to privacy first innovation and responsible AI. Designed to help organizations proactively detect and block NSFW imagery, it supports regulatory compliance while strengthening digital safety. As regulations tighten, enterprises need immediate visibility into image data flowing across their infrastructure—without sacrificing privacy or performance.

Company demonstrates computer vision-based retail product recommendation application powered by Intel’s Edge AI portfolio

HP and Intel join forces to deliver secure, revolutionary remote management and remediation with the HP Workforce Experience Platform (WXP) and Intel vPro® technology supporting business continuity.

EdgeExl is a school curriculum aligned AI Teacher that interacts with students in real time, powered by a state-of-the art Small Language Models running entirely on a local Intel® Core™ Ultra processor (Series 2)-based desktop PC which uses HW Virtualization – SRIOV to allow the desktop compute to be shared by up to 4 users making the solution cost effective for mass adoption for the school education use case.