Amir Sherman, Global Semiconductor Business Development Director at Edge Impulse, presents the “Deploy Your Embedded Vision Solution on Any Processor Using Edge Impulse” tutorial at the May 2023 Embedded Vision Summit. 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 […]
Jan Jongboom, Co-Founder and CTO of Edge Impulse, presents the “Visual Anomaly Detection with FOMO-AD” tutorial at the May 2023 Embedded Vision Summit. 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
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Hyunjin Kim, Senior Staff Engineer at DEEPX, presents the “State-of-the-art Model Quantization and Optimization for Efficient Edge AI” tutorial at the May 2023 Embedded Vision Summit. Extremely efficient edge AI requires more than efficient processors; it also requires tools capable of generating superefficient software. In this talk, Kim explains and demonstrates how DEEPX’s DXNN SDK
Lokwon Kim, CEO of DEEPX, presents the “Toward the Era of AI Everywhere” tutorial at the May 2023 Embedded Vision Summit. Over the past decade, deep neural networks have proven they can solve a wide range of visual perception problems. Semiconductor companies have invested billions of dollars in developing edge AI processors for deep learning.
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Jay Kim, Executive Vice President of DEEPX, presents the “DEEPX’s New M1 NPU Delivers Flexibility, Accuracy, Efficiency and Performance” tutorial at the May 2023 Embedded Vision Summit. 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
Gabriel Costache, Senior R&D Director at Xperi, presents the “New AI Platform Architecture for the Smart Toys of the Future” tutorial at the May 2022 Embedded Vision Summit. From a parent’s perspective, toys should be safe, private, entertaining and educational, with the ability to adapt and grow with the child. For natural interaction, a toy
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
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