IMAGO Technologies has launched Vision Box AI, a fanless Deep Learning computer equipped with an ultra-high performance GPGPU (general purpose graphics processing units) vision system for AI and other applications requiring GPU computational power. The fanless, compact vision computer, powered by the NVIDIA AGX Orin GPGPU, can achieve computing power of 275 TOPS (Tera Operations per Second, 8-bit Integer) and has up to 12 ARM CPU cores with up to 64 GB of RAM. The GPU accelerator supports AI applications with high process cycles or complex networks and can execute both the learning program and the inference program of an AI solution. The GPGPU vision system also provides the power for other applications that require a CUDA-based accelerator, such as hyperspectral imaging or light field cameras. Vision Box is also equipped with the interfaces required for industrial image processing, including standard I/O ports such as real-time digital IO, an RS422 for connecting incremental encoders, Ethernet, USB and an optional monitor output, as well as up to four GigE interfaces for connecting standard GigE cameras. In addition, the Camera Link interface delivers data in real time.
To Learn More:
Headquarters: Friedberg, Germany
Product: Vision Box AI
Key Features: Ultra-High performance GPGPU, up to 275 TOPS computing power, up to 64 GB of RAM
What IMAGO Technologies says:
View more information on Vision Box AI
Share your vision-related news by contacting Linda Wilson, Editor in Chief, Vision Systems Design.
