Recent trends in computation and automation highlight a massive and sustained growth for computer vision based applications on the edge. Market research also points to tremendous interest in these applications amongst entrepreneurs and developers alike. However, developing commercial-grade CV applications for the edge is hard (link to the new article here). There are two primary reasons for this.

We recently connected with an awesome blogger in the computer vision space. We wanted to highlight his blog to our community as he publishes several relevant and interesting articles about Computer Vision and Robotics. It is called the Serious Computer Vision Blog, and is definitely worthwhile checking out.  

Many of us spend most of our days hunched over a desk, leaning forward looking at a computer screen, or slumped down in our chair. If you’re like me, you’re only reminded of your bad posture when your neck or shoulders hurt hours later, or you have a splitting migraine. Wouldn’t it be great if someone could remind you to sit up straight? The good news is, you can remind yourself! In this tutorial, we’ll build a posture corrector app using a pose estimation model available from alwaysAI.

Many models, including those for pose estimation, may have much better performance when run on a GPU rather than a CPU. In this tutorial, we’ll cover how to run pose estimation on the Jetson Nano B01 and cover some nuances of running starter apps on this edge device.

alwaysAI’s Co-Founder & CEO, Marty Beard, recently shared in a quarterly report (click here or see video below) key updates around the company’s product, developer, partner and corporate progress - as well as exciting news for the remaining months of 2020.

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alwaysAI set out to create a platform for developers to easily and affordably build and deploy computer vision (CV) applications on edge devices. Early this year, alwaysAI came out of beta and officially released a...

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...

At the dawn of a new decade, mobile devices already dominate our personal and professional lives. During the 2020s, computer vision (CV) will come more into focus.

The Jetson Nano is a powerful compactly-packaged AI accelerator that allows you to run intensive models (such as the ones typically used for semantic segmentation and pose estimation) with shorter inference time, while meeting key performance requirements. The Jetson Nano also allows you to speed up lighter models, like those used for object detection, to the tune of 10-25 fps.

The AI & Big Data Expo was a great success for alwaysAI. We were a sponsor at the event, which took place at the Santa Clara Convention Center on November 13th & 14th. Our booth was met with an overwhelmingly positive response as we demonstrated how to easily create and deploy computer vision apps on the edge with the alwaysAI platform, and attendees got to witness these applications performing in real time.

CEO Marty Beard gave a compelling talk at the Convergent Technology Stage,...

It's time: software and hardware technologies are advancing to a place where you can easily equip low-power, resource-constrained edge devices with AI computer vision capabilities. Here's a brief overview of how CV started, what CV is now, where it might be going, and how you can use it to empower your existing equipment or new project. Ultimately, developers everywhere are now able to easily build and deploy deep learning computer vision applications to make your business more functional,...