Edge AI and Vision Alliance

SELECTING AND COLLECTING TRAINING DATA Data Collection in the Wild In scientific papers, computer vision models are usually evaluated on well-defined training and test datasets. In practice, however, collecting high-quality data that accurately represents the real world is a challenging problem. Developing models using a non-representative dataset will give high accuracy during testing, but the

LETTER FROM THE EDITOR Dear Colleague, On Thursday, August 30 at 9 am PT, Edge Impulse will deliver the free webinar “Edge Impulse’s FOMO Technology and Sony’s Computer Vision Platform: A Compelling Combination” in partnership with the Edge AI and Vision Alliance. Edge Impulse’s FOMO (Faster Objects, More Objects), introduced earlier this year, is a

EDGE AI DEVELOPMENT AND DEPLOYMENT Deploying PyTorch Models for Real-time Inference On the Edge In this 2021 Embedded Vision Summit presentation, Moritz August, CDO at Nomitri GmbH, provides an overview of workflows for deploying compressed deep learning models, starting with PyTorch and creating native C++ application code running in real-time on embedded hardware platforms. He

DEVELOPING SECURE VISION-BASED DESIGNS IoT and Vision: Why It’s a Security Minefield and How to Navigate It Recent advancements in machine learning have enabled market innovators to build insights from IoT sensors in the wild. These insights can be used to solve complex real-world challenges. The lack of security in typical vision-based IoT solutions is

LETTER FROM THE EDITOR Dear Colleague, On Thursday, August 25 at 9 am PT, Intel will deliver the free webinar “Accelerating TensorFlow Models on Intel Compute Devices Using Only 2 Lines of Code” in partnership with the Edge AI and Vision Alliance. Are you using Google’s TensorFlow framework to develop your deep learning models? And