Discover PHX-N2000 Series: Compact Edge AI Camera for Industrial & Retail Innovation

EverFocus is excited to introduce the PHX-N2000 Series, the compact yet powerful Edge AI Cameras designed for high-performance computing at the edge. Powered by the NVIDIA® Jetson Orin™ NX/Nano system-on-module and featuring a 5MP SONY IMX335 image sensor, the all-in-one device brings intelligent applications to industrial and retail environments with ease.
 
All-in-One and Compact Design for Easy Deployment
The PHX-N2000 Series combine AI computing, high-resolution camera, and versatile connectivity into a single, streamlined unit—no additional components required. With up to 16GB LPDDR5 memory and a wide operating temperature range (-20˚C to 70˚C), it’s ideal for demanding industrial environments, including:
 
•  Smart Factories – Enable real-time AI image recognition for assembly lines or robotic arms, and verify employee safety gear
•  Smart Warehouses – Integrate with AGV robots, manage package handling, optimize storage, and monitor stock levels
•  Retail & POC Use Cases – Analyze customer behavior, track products, and support intelligent store automation

Simplified AI Integration
Thanks to its compact, all-in-one design, the PHX-N2000 Series minimize setup complexity, reduce installation costs, and accelerate deployment—making it easier to move from development to proof of concept.

Key Features:
✅  Powered by NVIDIA® Jetson Orin™ Nano/NX for high-performance AI processing
✅  Up to 16GB LPDDR5 memory for enhanced AI capability
✅  SONY IMX335 image sensor delivering 5MP (2560×1920) resolution
✅  Multiple I/O interfaces for flexible integration
✅  Wide operating temperature range (-20˚C to 70˚C) for industrial use
✅  Pre-installed AI models for instant deployment

Whether you’re building solutions for a smart warehouse, factory, or retail space, the PHX-N2000 makes Edge AI implementation smarter, faster, and more scalable.

Contact EverFocus to discover how it can unlock new opportunities for your business!
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www.everfocus.com
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