Deep Learning

If you want to get started quickly with deep learning, you will need 3 things to build your first deep learning application: Hardware, Software, and, of course, Engineering experts.

This page provides you with all the information you will need to find these three components that suit you and your application best. Benefit from IMAGO's expertise in embedded vision and our reliable hardware platforms that provide all the computing power necessary for deep learning.

IMAGO's Hardware

VisionBox DAYTONA

256 CUDA cores 

Suitable for: 

Deep Learning, Hyperspectral Imaging, computing 3D images

VisionBox AGE-X Serval+ GPU

>2300 CUDA cores

Made for high-power deep learning applications

VisionDevice Assembly Assistant

ARM Cortex-A15: 2 × 1.5 GHz 

Let a deep learning neural network check your assembled parts with an easy training

VisionBox AGE-X Tiger+ VPU

Movidius Myriad X VPU

Embedded Deep Learning Computer

VisionBox AGE-X Serval+ VPU

16 × Movidius Myriad X VPU

Made for high-power deep learning applications, neural networks and other vision processing tasks

DL Engineers

www.deevio.ai

Deevio

www.iridalabs.gr

Irida Labs

www.sourcewerk.de

Sourcewerk

Software Packages

www.mvtec.com

Halcon DL

Embedded Vision Architects since 1994

IMAGO Technologies GmbH

Strassheimer Straße 45

61169 Friedberg

+49 6031 684 26 11