Newsletters

LETTER FROM THE EDITOR Dear Colleague, I’m excited to announce the inaugural AI Innovation Awards, brought to you by the Edge AI and Vision Alliance. The awards celebrate groundbreaking end products powered by edge AI and vision technologies. If you know of an end product introduced in the last year that fits the bill, nominate […]

TOOLSETS FOR EFFICIENT HETEROGENEOUS PROCESSING A New, Open-standards-based, Open-source Programming Model for All Accelerators As demand for AI grows, developers are attempting to squeeze more and more performance from accelerators. Ideally, developers would choose the accelerators best suited to their applications. Unfortunately, today many developers are locked into limited hardware choices because they use proprietary

MULTIMODAL PERCEPTION Frontiers in Perceptual AI: First-person Video and Multimodal Perception First-person or “egocentric” perception requires understanding the video and multimodal data that streams from wearable cameras and other sensors. The egocentric view offers a special window into the camera wearer’s attention, goals, and interactions with people and objects in the environment, making it an

LETTER FROM THE EDITOR Dear Colleague, You probably won’t be surprised that 84% of vision-based product developers are using DNNs. But did you know that 80+% are using non-neural network vision or imaging algorithms? Those are just two findings from last year’s Computer Vision and Perceptual AI Developer Survey. The Edge AI and Vision Alliance

SOFTWARE TOOLSETS Visual Anomaly Detection with FOMO-AD Virtually all computer vision machine learning models involve classification—for example, “how many humans are in the frame?” To train such a model, you need examples of every class of object the model is intended to detect. But what happens when a new type of object appears? Ask a

LOW-POWER SENSING AND PROCESSING Battery-powered Edge AI Sensing: A Case Study Implementing Low-power, Always-on Capability The trend of pushing AI/ML capabilities to the edge brings design challenges around the need to combine high-performance computing (for AI/ML algorithms) with low power consumption (to enable battery-powered sensing systems). Designers are often faced with a choice between using

DEVELOPMENT TOOL ADVANCEMENTS Deploy Your Embedded Vision Solution on Any Processor Vision-based product developers have a vast array of processors to choose from. Unfortunately, each processor has its own unique tool chain. This makes it difficult for developers to evaluate processor options and target different processors for different product needs. Fortunately, there’s Edge Impulse Studio—a

VISION PROCESSING AND ACCELERATION M1 NPU Delivers Flexibility, Accuracy, Efficiency and Performance For a growing range of applications, deploying AI in the real world means running various models at the edge. Fortunately, powerful edge processors are increasingly capable of handling demanding AI workloads. But performance alone is not sufficient. To meet the needs of real-world

IMPROVING VISION PRODUCT DEVELOPMENT Five Things You Might Overlook on Your Next Vision-enabled Product Design When you think about building a vision-enabled product, you probably think about things like: Which processor am I going to use? What neural network will it run? Where will I get the training data? These are important questions that need

OPEN SOURCE-BASED DEVELOPMENT TECHNIQUES Using Kubernetes to Speed Development and Deployment of Edge Computer Vision Applications In this 2022 Embedded Vision Summit presentation, Rakshit Agrawal, Vice President of Research and Development at Camio, presents real-world deployments of computer vision solutions using Kubernetes and shows how containerization enables continuous AI updates on a massive scale at