(© Donecle – Latam 2019) Experience the flying dentCHECK at this year’s MRO Europe in Amsterdam, booth #3080C and #9059 CONSTANCE, Germany and RANCHO CUCAMONGA, Calif. (PRWEB)October 15, 2021 – In early 2020, the French Defense Innovation Agency launched a program in partnership with 8tree, Donecle and Dassault to explore automated drone-based dent-inspection of the […]
Ian Riches, Vice President of Automotive Practice and Director at Strategy Analytics, presents the “Automotive Vision Systems – What’s Growing, What’s Not, and Why?” tutorial at the May 2021 Embedded Vision Summit. In this presentation, Riches looks at the key applications and use cases that are driving rapid adoption of vision systems in automotive applications,
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. High-performance, energy-efficient AI compute is heightening autonomous vehicles’ detection capabilities. For autonomous vehicles, what’s on the surface matters. While humans are taught to avoid snap judgments, self-driving cars must be able to see, detect and act quickly
Patrick Bangert, Vice President of AI at Samsung, presents the “Highly Data-Efficient Deep Learning Approach” tutorial at the May 2021 Embedded Vision Summit. Many applications, such as medical imaging, lack the large amounts of data required for training popular CNNs to achieve sufficient accuracy. Often, these same applications suffer from an imbalanced class distribution problem
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Venkatesh Wadawadagi, Solution Consultant at Sahaj Software Solutions, presents the “Challenges in Vision-based Adaptive Traffic Control Systems” tutorial at the May 2021 Embedded Vision Summit. Adaptive traffic control systems (ATCSs) adjust traffic signal timing based on demand. Wadawadagi begins by presenting the main building blocks of a vision-based ATCS, including pre-processing, vehicle detection, vehicle classification
Alex Fink, consultant at Panopteo, presents the “10 Things You Must Know Before Designing Your Own Camera” tutorial at the May 2021 Embedded Vision Summit. Computer vision requires vision. This is why companies that use computer vision often decide they need to create a custom camera module (and perhaps other custom sensors) that meets the
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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
Use Case: Defect Detection in Metal Surfaces Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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