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DEEP LEARNING FOUNDATIONS AND OPTIMIZATIONS Fundamentals of Training AI Models for Computer Vision and Video Analytics Applications AI has become an important component of computer vision and video analytics applications. But creating AI-based solutions is a challenging process. To build a successful product, it is essential that training a deep neural network results in a […]

EMBEDDED DEEP LEARNING INFERENCE TensorFlow Lite for Microcontrollers: Recent Developments TensorFlow Lite Micro (TFLM) is a generic inference framework designed to run TensorFlow models on digital signal processors (DSPs), microcontrollers and other embedded targets with small memory footprints and very low power usage. TFLM aims to be easily portable to various embedded targets, from those

LETTER FROM THE EDITOR Dear Colleague, On Thursday, November 10 at 9 am PT, Perceive will deliver the free webinar “Putting Activations on a Diet – Or Why Watching Your Weights Is Not Enough” in partnership with the Edge AI and Vision Alliance. To reduce the memory requirements of neural networks, researchers have proposed numerous

LETTER FROM THE EDITOR Dear Colleague, Next 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

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

LETTER FROM THE EDITOR Dear Colleague, Last week’s Embedded Vision Summit was a resounding success, with more than 1,000 attendees learning from 100+ expert speakers and 80+ exhibitors and interacting in person for the first time since 2019. Special congratulations go to the winners of the 2022 Edge AI and Vision Product of the Year