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Videos on Edge AI and Visual Intelligence

We hope that the compelling AI and visual intelligence case studies that follow will both entertain and inspire you, and that you’ll regularly revisit this page as new material is added. For more, monitor the News page, where you’ll frequently find video content embedded within the daily writeups.

Alliance Website Videos

“Introduction to the CSI-2 Image Sensor Interface Standard,” a Presentation from the MIPI Alliance

Haran Thanigasalam, Camera and Imaging Consultant to the MIPI Alliance, presents the “Introduction to the MIPI CSI-2 Image Sensor Interface Standard” tutorial at the May 2023 Embedded Vision Summit. By taking advantage of select features in standardized interfaces, vision system architects can help reduce processor load, cost and power consumption… “Introduction to the CSI-2 Image

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“Practical Approaches to DNN Quantization,” a Presentation from Magic Leap

Dwith Chenna, Senior Embedded DSP Engineer for Computer Vision at Magic Leap, presents the “Practical Approaches to DNN Quantization” tutorial at the May 2023 Embedded Vision Summit. Convolutional neural networks, widely used in computer vision tasks, require substantial computation and memory resources, making it challenging to run these models on… “Practical Approaches to DNN Quantization,”

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“Optimizing Image Quality and Stereo Depth at the Edge,” a Presentation from John Deere

Travis Davis, Delivery Manager in the Automation and Autonomy Core, and Tarik Loukili, Technical Lead for Automation and Autonomy Applications, both of John Deere, present the “Reinventing Smart Cities with Computer Vision” tutorial at the May 2023 Embedded Vision Summit. John Deere uses machine learning and computer vision (including stereo… “Optimizing Image Quality and Stereo

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CircuitSutra Technologies Demonstration of Virtual Prototyping for Pre-silicon Software Development

Umesh Sisodia, President and CEO of CircuitSutra Technologies, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Sisodia demonstrates a virtual prototype of an ARM Cortex-based SoC, developed using SystemC and the CircuitSutra Modelling Library (CSTML). It is able to boot Linux

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“Using a Collaborative Network of Distributed Cameras for Object Tracking,” a Presentation from Invision AI

Samuel Örn, Team Lead and Senior Machine Learning and Computer Vision Engineer at Invision AI, presents the “Using a Collaborative Network of Distributed Cameras for Object Tracking” tutorial at the May 2023 Embedded Vision Summit. Using multiple fixed cameras to track objects requires a careful solution design. To enable scaling… “Using a Collaborative Network of

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ProHawk Technology Group Overview of AI-enabled Computer Vision Restoration

Brent Willis, Chief Operating Officer of the ProHawk Technology Group, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Willis discusses the company’s AI-enabled computer vision restoration technology. ProHawk’s patented algorithms and technologies enable real-time, pixel-by-pixel video restoration, overcoming virtually all environmental

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DeGirum Demonstration of Streaming Edge AI Development and Deployment

Konstantin Kudryavtsev, Vice President of Software Development at DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Kudryavtsev demonstrates streaming edge AI development and deployment using the company’s JavaScript and Python SDKs and its cloud platform. On the software front, DeGirum

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Cadence Demonstrations of Generative AI and People Tracking at the Edge

Amol Borkar, Director of Product and Marketing for Vision and AI DSPs at Cadence Tensilica, demonstrates the company’s latest edge AI and vision technologies and products at the September 2023 Edge AI and Vision Alliance Forum. Specifically, Borkar demonstrates two applications running on customers’ SoCs, showcasing Cadence’s pervasiveness in AI. The first demonstration is of

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“A Survey of Model Compression Methods,” a Presentation from Instrumental

Rustem Feyzkhanov, Staff Machine Learning Engineer at Instrumental, presents the “Survey of Model Compression Methods” tutorial at the May 2023 Embedded Vision Summit. One of the main challenges when deploying computer vision models to the edge is optimizing the model for speed, memory and energy consumption. In this talk, Feyzkhanov… “A Survey of Model Compression

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Eye-Catching Edge AI and Vision Industry Case Study Clips

AI-powered Box Loading In Delivery Trucks
School Bus Safety
Autonomous Drones for Package Delivery
Whole-Body Health Tests via Retina Scans
Touchless Self-Checkout Retail System
Personalized-Info Airport Displays
Avoiding Autonomous Vacuuming Hazards
Vision-Enhanced Fitness
Coffee Pod Identification
Aerial Autonomy on Mars
Talking-Head Synthesis and Optimization
Tracking Down Litterers
Autonomous Infrastructure Inspection
AI-controlled Webcam
Underwater Image Enhancement
Colorizing B&W Images and Video
Hand Tracking on VR Headsets
Object ID for the Visually Impaired
Gesture-Based Mobile Device Control
Smart Vehicle Headlights
Insurance Valuation Via CV Image Analysis
Augmented Reality Shopping for Glasses
Blood Analysis for Malaria
Vision-Based Smart Oven
Facial Recognition for Flight Check-In
Diabetes Detection via AI Retina Scans
Vision Health Self-Analysis
Object Recognition for Children
Bossa Nova Robots in Retail
Autonomous Vehicle Parking

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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