Imagine walking up to a kiosk in a busy fast-food restaurant. Instead of tapping through a complex menu on a touchscreen, you simply say, "I'd like a cheeseburger, no onions, with a side of fries and a vanilla milkshake." The kiosk confirms your order instantly, and you're ready to pay. This isn't science fiction; it's the future of customer interaction, and it's powered by AI running directly at the edge.
In this article, we explore how artificial intelligence (AI) can dramatically improve the speed and accuracy of retail checkout processes, helping businesses reduce training costs and improve customer satisfaction.
Deploying SLAM on embedded platforms remains a challenge. In this article, we evaluate whether the Qualcomm® QCS6490 platform can reliably support Depth VSLAM for AMR and smart vision applications.
By leveraging ROS 2 VSLAM nodes provided in the QIRP SDK, we aim to measure system feasibility, performance, and identify optimization points for real-world deployment.
QL601 is a powerful single-board computer equipped with Qualcomm® QCS6490 chipset, along with AVerMedia software stack, helping developers to build AI-powered multimedia applications.
In this tutorial, we will guide you through the steps to set up the QL601 development environment, helping you to get started with the QL601 quickly.
Qualcomm AI Hub provides various AI models optimized for Qualcomm devices. This guide introduces two methods for downloading these models:
qai-hub-models.You'll learn how to access all the Qualcomm-provided models, including those with licensing restrictions like YOLOv8 and YOLOv11.