Hardware Compatibility
Works with Your Preferred Hardware
For scalable automation, Computer Vision AI must integrate with your systems. Robovision's hardware flexibility makes it possible. Find out how our solution delivers on meeting your unique needs.
Platform Flexibility
Robovision AI Platform runs with either edge or in a cloud environment and is compatible with AWS, Azure, and Google Cloud (as well as private cloud services and on-premises setups). Scale and take advantage of cloud features like elastic resources and pay-as-you-go pricing. Plus, you get to choose the infrastructure that works best for you.
Edge Integration
Thanks to the versatility of our AI systems, our platform works with a wide range of hardware devices found in industrial environments. Robovision is an ideal fit for edge inference applications that demand low latency and high performance. Support for new devices is added continuously.
Camera Support
We've got you covered in terms of support for both a range of applications and camera types, be it 2D or 3D, single view or multiview. We are happy to talk about visual sensors, since we also support devices like MRI scanners, advanced laser optics and electronic microscopes (and we're always adding more to the list).
Unified Integration Approach
Right out of the box, our platform integrates smoothly with existing Manufacturing Execution Systems (MES) for smooth data exchange and interoperability using industry standards like OPC-UA, GP(I)O, and REST API.
New applications appear all the time, so we continuously expand our compatibility and integrations. You have the flexibility to deploy the Robovision AI Platform in any environment and with any hardware.
Cloud, On-Premises or Hybrid Deployment
Every organization has distinct AI needs, whether in the cloud, on-premises, or a combination of both. With Robovision, deployment can be adapted to your specific requirements.