Image Processing

Speed Up Image Processing With Highly Distributed Resources

Image processing has always been computationally intensive and required significant resources. As a result, these applications have benefited greatly from the expansion of and declining prices of the public cloud.

Ridge Cloud gives you lower latency and greater
proximity to your compute anywhere in the world.

Process Images Closer to THE Source to Get Results Faster

From image correction and enhancement to number plate recognition, facial recognition, machine vision-based factory automation, proximity to compute can significantly improve performance. As image resolution continues to increase and complex systems assume real-time response, many applications can not tolerate the transit times and throughput constraints associated with connecting with a small number of public cloud regions from all over the world.

The Ridge Cloud offers points of presence worldwide, ensuring that workloads are processed rapidly and reliably. Highly distributed cloud infrastructure obviates the need for on-premises deployments of hardware, reducing operational complexity, and enabling a cloud services business model.

One API to rule them all

Start deploying image processing technologies anywhere you want. Ridge Cloud allows you to programmatically access global locations using standard RESTful APIs without changing a single line of code. To support high-performance image processing all over the world, your underlying infrastructure must be ready to spin up anywhere.
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Make it Easy to Run Image Processing

If your existing deployment is undersized and cumbersome, Ridge Cloud can bring your infrastructure up to speed seamlessly. If you are designing a new image processing system from scratch, you can use Ridge to optimize for massive distribution so that your resources are absolutely everywhere. All of this means that you can shift these systems’ operational burden from your customer’s IT department to a global public cloud.