Bringing together the transformative power of 5G and AI technologies is essential to driving the next generation of high-compute, low-power robots and drones for consumer, enterprise and industrial sectors. In this session, Dev Singh, Qualcomm Technologies’ GM of Robotics, Drones […]
In this in-depth tutorial, you’ll learn how to build real-world embedded machine learning (ML) applications ranging from simple sensor configurations to powerful Linux-based computer vision applications, hands-on. We’ll cover: Collecting and classifying datasets Designing and training high-accuracy models Optimizing and […]
Machine learning is making it possible to give machines capabilities that were unthinkable just a few years ago. But the techniques for implementing, deploying and maintaining machine learning algorithms and software in products are radically different from the tried-and-true techniques […]
MaskCam is a prototype reference design for a smart camera that counts the number of people wearing masks in its field of view and reports statistics to the cloud. Based on the Nvidia Jetson Nano, all AI processing is handled […]
Video data is abundant and being generated at ever-increasing rates. Analyzing video with AI can provide valuable insights and capabilities for many applications ranging from autonomous driving and smart cameras to smartphones and extended reality. However, as video resolution and […]
OpenVX is a popular computer vision and machine learning API standard developed by the Khronos Group to be a novel, open and royalty-free standard for cross-platform acceleration. In this talk, we will present the latest features in OpenVX 1.3 in […]
Performant spatial AI and CV enables human-like perception and real-time interaction with the world. But embedding performant spatial AI and CV into actual products is difficult, costly and time-consuming. DepthAI makes building products with these capabilities fast, easy, and flexible. […]
Around the world, there is a serious and growing shortage of nurses. Nursing care at night is a particular challenge because night shifts are less attractive to nurses and since patients’ needed rest can be disturbed by in-person monitoring. Computer-vision-based […]
Although there are many applications for low-power facial recognition in edge devices, perhaps the most challenging to design are always-on, battery-powered systems that use facial recognition for access control. Laptop, tablet and cellphone users expect hands-free and instantaneous facial recognition. […]
The need for IoT edge applications has never been greater. But complex requirements and unique connectivity, security, and latency challenges impede progress and extend time to market for software developers. In addition, many solution developers face the challenge of scaling […]
