This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. A step-by-step guide to implement real-time face detection on a Raspberry Pi running 24 frames per second. In this post, I will guide you through a step-by-step process of implementing real-time face detection on a Raspberry Pi, running […]
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Erik Chelstad, CTO and co-founder of Observa, presents the “Maintaining DNN Accuracy When the Real World is Changing” tutorial at the May 2021 Embedded Vision Summit. We commonly train deep neural networks (DNNs) on existing data and then use the trained model to make predictions on new data. Once trained, these predictive models approximate a
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News Highlights: Arm Total Solutions for IoT delivers a full stack solution to significantly accelerate IoT product development and improve product ROI Arm Virtual Hardware removes the need to develop on physical silicon, enabling software and hardware co-design and accelerating product design by up to two years A new Arm ecosystem initiative called Project Centauri
This blog post was originally published at PerceptiLabs’ website. It is reprinted here with the permission of PerceptiLabs. With the rise of Industrial IoT (IIoT) and Industry 4.0, ML is playing an ever-increasing role in enabling automation. With this in mind, we built an ML model that can classify defects on metal materials using image
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Moritz August, CDO at Nomitri GmbH, presents the “Deploying PyTorch Models for Real-time Inference On the Edge” tutorial at the May 2021 Embedded Vision Summit. In this presentation, August 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
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm AI Research’s latest research and techniques for efficient video perception The saying goes that a picture is worth a thousand words, so what does that imply for video? Video, which is essentially a sequence of static
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David Greschler, CEO and co-founder of Nomad Go, presents the “Computer Vision for the Built Environment” tutorial at the May 2021 Embedded Vision Summit. Facilities and operations managers of buildings, college campuses, retail and foodservice establishments all struggle to answer one fundamental question: “What are people doing in our spaces?” Computer vision – specifically edge
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Alexander Belugin, Computer Vision Product Manager at Nedra, presents the “Developing Edge Computer Vision Solutions for Applications with Extreme Limitations on Real-World Testing” tutorial at the May 2021 Embedded Vision Summit. Deploying computer vision-based solutions in very remote locations (such as those often found in mining and oil drilling) introduces unique challenges. For example, it
MicroSys miriac® embedded modules and platforms combined with Hailo-8™ AI acceleration modules offer a high-performance, scalable embedded platform for AI processing at the edge, with applications in fields such as Industry 4.0, automotive and heavy machinery Columbia, MD and Tel Aviv, Israel, September 30th, 2021 – MicroSys Electronics announced today its partnership with leading AI (Artificial Intelligence)
Harro Stokman, Chief Executive Officer and Founder of Kepler Vision Technologies, presents the “Improving Nursing Care with Privacy-Sensitive Edge Computer Vision” tutorial at the May 2021 Embedded Vision Summit. 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
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