Alex Thaman, Chief Software Architect at Unity Technologies, presents the “Human-centric Computer Vision with Synthetic Data” tutorial at the May 2022 Embedded Vision Summit. Companies are continuing to accelerate the adoption of computer vision to detect, identify and understand humans from camera imagery. Unity sees these human-centric use cases in a growing range of applications […]
Manisha Agrawal, Product Marketing Manager at Texas Instruments, presents the “Build Smarter, Safer and Efficient Autonomous Robots and Mobile Machines” tutorial at the May 2022 Embedded Vision Summit. Automation is expanding rapidly from the factory floor to the consumer’s front door. Examples include autonomous mobile robots used in warehouses and last mile delivery and service
Luc Chouinard, AI Specialist and Design Architect at Teledyne Imaging, presents the “Deploying Visual AI on Edge Devices: Lessons From the Real World” tutorial at the May 2022 Embedded Vision Summit. Developing an AI-based edge device is complex, involving hardware, algorithms and software. It requires making many technology-selection decisions and balancing numerous trade-offs. In this
Ganesh Narayanaswamy, Senior Business Marketing Manager in the Industrial and Commercial Solutions Division at onsemi, presents the “New Imager Modules and Tools Enable Bringing High-quality Vision Systems to Market Quickly” tutorial at the May 2022 Embedded Vision Summit. Traditionally, developers have struggled to select the best image sensors and lenses, integrate these with the rest
Ali Osman Örs, Director of AI ML Strategy and Technologies for Edge Processing at NXP Semiconductors, presents the “Intelligent Vision for the Industrial, Automotive and IoT Edge with the i.MX 8M Plus Applications Processor” tutorial at the May 2022 Embedded Vision Summit. Today’s edge-based ML solutions need a powerful multicore processor packed with features and
Jason Corso, CEO of Voxel51, presents the “Creating Better Datasets for Training More Robust Models in FiftyOne” tutorial at the May 2022 Embedded Vision Summit. Nothing hinders the success of computer vision and machine learning systems more than poor-quality data. Gone are the days of focusing only on the model while assuming the data is
Daniel Firu, Co-founder and CPO of Quadric, presents the “Accelerate All Your Algorithms with the quadric q16 Processor,” tutorial at the May 2022 Embedded Vision Summit. As edge and embedded vision applications increasingly incorporate neural networks, developers are looking to add neural network accelerator functionality to their systems. There is just one problem: we need
James Marshall, Chief Scientific Officer at Opteran Technologies, presents the “Natural Intelligence Outperforms Artificial Intelligence for Autonomy and Vision” tutorial at the May 2022 Embedded Vision Summit. Mainstream approaches to AI for autonomy and computer vision make use of data-, energy- and compute-intensive techniques such as deep learning, which struggle to generalize and are fragile
Carlos Garcia-Sierra, Product Manager for DeepStream at NVIDIA, presents the “Vision AI At the Edge: From Zero to Deployment Using Low-Code Development” tutorial on behalf of Alvin Clark, Product Marketing Manager at NVIDIA, at the May 2022 Embedded Vision Summit. Development of vision AI applications for the edge presents complex challenges beyond model inference, often
Akhil Docca, Senior Product Marketing Manager at NVIDIA, presents the “Accelerating the Creation of Custom, Production-Ready AI Models for Edge AI,” tutorial at the May 2022 Embedded Vision Summit. AI applications are powered by models. However, creating customized, production-ready AI models requires an army of data scientists and mountains of data. For businesses looking to
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