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Vision Box AI vs. Vision Box AI Basic:
Which Solution Fits Your Application?

Friedberg, 21th July 2025

Vision Box AI Versions

Compact power for any application: Vision Box AI (left) and Vision Box AI Basic (right) – scalable computing for industrial image processing.

In industrial machine vision, the demands for computing power, energy efficiency, and seamless system integration are continuously increasing. However, not all applications are created equal—some processes require maximum real-time capabilities, while others primarily benefit from a cost-effective entry into GPU-accelerated image processing. IMAGO offers two powerful platforms designed to meet these different needs: the Vision Box AI and the Vision Box AI Basic.

 

VISION BOX AI: FOR DEMANDING REAL-TIME IMAGE PROCESSING:
The Vision Box AI is an industry-grade embedded vision system based on the NVIDIA Jetson AGX Orin platform—equipped with up to 12 ARM cores, 2048 CUDA cores, and 64 GB of RAM. It is designed for users requiring top-tier performance in traditional image processing and AI-based inference.

TYPICAL USE CASES INCLUDE:
• Deep learning applications with high data throughput
• Hyperspectral imaging
• Light field and 3D cameras
• Synchronized image acquisition with line scan cameras via real-time I/O and encoder interfaces

Thanks to its integrated Real-Time Communication Controller (RTCC), the Vision Box AI enables precise control of lighting, trigger logic, and encoder signals—ideal for applications with strict real-time requirements. It also supports multiple GigE and Camera Link interfaces, offers an HDMI output, and comes with a guaranteed long-term availability of 10 years.

CONCLUSION:
If your application requires high-performance, scalable AI and image processing with real-time capabilities, the Vision Box AI delivers a future-proof platform with full interface and software integration—optimized for HALCON and more.

 

VISION BOX AI BASIC: THE ENTRY-LEVEL MODEL FOR INDUSTRIAL AI APPLICATIONS 
The Vision Box AI Basic is built on the same NVIDIA Jetson technology but offers a streamlined hardware setup—without a Real-Time Communication Controller and with reduced I/O. This makes it ideal for applications where real-time processing and trigger logic are not critical, but GPU power is still essential.

TYPICAL USE CASES INCLUDE:
Cost-sensitive AI projects
Temperature-critical environments (operating range: -20 to +60 °C)
• Visualization or analysis tasks without synchronized camera control
Simple AI inference models for inspection or object recognition

Despite its leaner feature set, the Vision Box AI Basic is a rugged industrial PC with a compact form factor and reliable hardware. It’s well-suited for straightforward AI workflows, pre-trained networks, and applications that don’t require complex real-time logic.

CONCLUSION:
For simple, cost-efficient AI applications in industrial environments, the Basic variant provides a robust entry-level solution with GPU acceleration—without unnecessary overhead.

FEATURE COMPARISON AT A GLANCE:

Feature Vision Box AI Vision Box AI Basic
GPU + Multi-Core CPU
Real-Time Controller (RTCC)
Extended I/O / Encoder Support
Operating Temperature Range 0 – 50 °C -20 – +60 °C
GigE / Camera Link Interfaces Limited
Ideal for High-End AI & Real-Time Tasks Cost-Efficient AI Projects
Long-Term Availability

Whether you’re deploying real-time deep learning, hyperspectral inspection, or straightforward GPU-powered classification: the Vision Box AI product line from IMAGO offers scalable computing tailored to your needs—flexible, compact, and industrial-grade.


Let us help you find the ideal platform for your application.

Press Contact

IMAGO Anne KrugAnne Krug
Marketing / Communication

Telephone: +49 6031-684 26 11
marketing@imago-technologies.com