This blog post was originally published in expanded form at RapidFire AI’s website. It is reprinted here with the permission of RapidFire AI. When people talk about deep learning, they usually talk about the inner loop—the elegant dance of forward passes, backpropagation, and gradient descent. This is the part that’s been endlessly refined over the […]
The Outer Loop: The Real Driver of AI Success Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The Low-Power Computer Vision Challenge (LPCVC) is an annual competition organized by the Institute of Electrical and Electronics Engineers (IEEE) to improve the energy efficiency of computer vision technologies for systems with constrained resources. Established in 2015
Low-power Computer Vision Challenge: Empowering AI Development on Edge Devices Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Pick and place robots handle repetitive, labor-intensive tasks. They help deliver high throughput and seamless workflows, thanks to camera solutions. Get expert insights on how cameras work in these robots, their challenges, use cases, and
How to Select the Right Camera for Pick and Place Robots Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Robots must perceive and interpret their 3D environments to act safely and effectively. This is especially critical for tasks such as autonomous navigation, object manipulation, and teleoperation in unstructured or unfamiliar spaces. Advances in robotic perception increasingly
R²D²: Building AI-based 3D Robot Perception and Mapping with NVIDIA Research Read More +
This blog post was originally published at Microchip Technology’s website. It is reprinted here with the permission of Microchip Technology. From the factory floor to the operating room, edge AI is changing everything. Here’s how Microchip is helping developers bring real-time intelligence to the world’s most power-constrained devices. Not long ago, Artificial Intelligence (AI) lived
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This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Online multi-camera system for efficient individual tracking Accurate ID management with Cluster Self-Refinement (CSR) Improved performance with enhanced pose estimation In this paper, we introduce our online MCPT methodology, which achieved third place in Track1
Cluster Self-refinement for Enhanced Online Multi-camera People Tracking Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our live demo of a generative AI assistant running completely on smart glasses — without the aid of a phone or the cloud — and the reveal of the new Snapdragon AR1+ platform spark new possibilities for
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. ROI-based Auto Exposure (AE) and High Dynamic Range (HDR) enhance image quality in embedded vision. The See3CAM_CU81, a 4K HDR USB camera, integrates these features for precise exposure and dynamic range control, making it ideal
How Does Region of Interest (ROI)-based Exposure Benefit Embedded Vision Applications? Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In the rapidly evolving robotics and edge AI landscape, the ability to efficiently process and transfer sensor data is crucial. Many edge applications are moving away from single-sensor fixed-function solutions and in favor of diverse sensor arrays.
NVIDIA Holoscan Sensor Bridge Empowers Developers with Real-time Data Processing Read More +
This blog post was originally published at Synetic AI’s website. It is reprinted here with the permission of Synetic AI. Synthetic data is revolutionizing computer vision. Synetic.ai provides an automated platform for generating training datasets that are photorealistic, annotated, and customizable. Computer vision is the process of extracting meaning from images using statistical patterns in
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