Transform Your Business with Computer Vision

Computer vision (CV) is a huge part of Industry 4.0 and the changing technological landscape as we know it. Computer vision will allow deeper, more impactful insights into businesses in all sectors. Healthcare providers will be able to more quickly and safely diagnose and treat patients. Manufacturing operations will have enhanced security and productivity. Companies looking for more security while operating virtually, can use computer vision to keep track of their assets, and assure the safety of their locations and employees. If you run a business, chances are it can and will be improved with the addition of edge computer vision.

 

For CV to really take hold, it will need to be made accessible to every developer and data scientist. What makes CV really difficult, is there are all these technical challenges and different skill sets needed to build applications, rendering it out of reach for the average enterprise user. 

Who we are

No one, until alwaysAI, has built such an affordable (an account is free), turnkey solution for quick development and deployment of common computer vision applications for edge and IoT.

Let’s get into what makes alwaysAI so user-friendly...

 

Don’t sweat the small stuff

alwaysAI normalizes a variety of framework technologies such as TensorFlow, Caffe, and Darknet; as well as endpoints environments to significantly reduce the time it takes the get a computer vision app up and running.



Pre-built model API catalogModel Catalog

alwaysAI comes pre-loaded with an ever-growing model catalog complete with starter apps and core computer vision APIs.

It’s an end-to-end platform that enables the development of a wide range of CV applications that fit most edge endpoints.

So whether you need to do object tracking on a drone, pose estimation on a security camera, or anything in between, our catalog saves you valuable time upfront.

 

 

Develop your app

The alwaysAI Development Experience

Our development journey can be explained in 5 simple steps

  1. Install alwaysAI tooling
  2. Select your model based on your unique project
  3. Use edgeIQ APIs to build your application
  4. Deploy to edge device via Docker Image
  5. Run your application!

 

That’s it! CV explained in a matter of minutes. No complex computer vision development learning curve required. With alwaysAI, you’re up in and running in days, instead of months.

 

The alwaysAI Advantagedeploy to the edge

Now that you know a little bit about our methodology, it’s important to think about what you’ll save when you choose alwaysAI. You’ll save on:

  • Time to both prototype and deploy
  • Expensive development in-house teams
  • Inflexible testing equipment
  • And delays caused by incompatibility between platform and device

If the concept of building your own CV applications in-house sounds daunting, that’s because it is. With alwaysAI, no longer is powerful CV reserved for the few specialized developers who literally wrote the book on it. 

“We see enormous interest in computer vision and how it can drive new value for enterprise applications and developers – it makes AI and IoT come alive in the real world,” said Marty Beard, co-founder and CEO of alwaysAI. “We love evangelizing the value of this exciting new technology, and I believe we are fundamentally changing the way developers create, prototype and deploy computer vision applications at the edge.”

Developers, from beginners to experts alike, are encouraged to open their free account at alwaysai.co and start creating, prototyping and deploying CV apps on ARM-based devices including cameras, drones, wearables, industrial monitoring equipment and transportation units.

alwaysAI guides you through the entire development experience. All you need is a compatible board and device, and an excitement for the future of Computer Vision for the everyday developer. 

We can’t wait to see what you build.

Get started now

We are providing professional developers with a simple and easy-to-use platform to build and deploy computer vision applications on edge devices.

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