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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.

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DeGirum Demonstration of Efficient Pipelining of Multiple Models Using DeGirum PySDK

Shashi Chilappagari, Co-Founder and Chief Architect of DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Chilappagari demonstrates DeGirum’s hardware (ORCA) and software (PySDK). Chilappagari demonstrates PYSDK’s ability to pipeline multiple machine learning models by showcasing a use case in which the output of one

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DeGirum Demonstration of Running Multiple Object Detection Models in Parallel on DeGirum ORCA

Shashi Chilappagari, Co-Founder and Chief Architect of DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Chilappagari demonstrates DeGirum’s hardware (ORCA) and software (PySDK). Chilappagari demonstrates a use case in which three YOLOv5-based object detection models (hand detection, face detection, and person detection) are running

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Cadence Demonstration of Next-gen On-device and Edge AI Using a Tensilica Turnkey AI Accelerator Solution

Suhas Mitra, Director Product Management and Marketing at Cadence, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Mitra demonstrates Cadence’s Tensilica AI accelerator portfolio, specifically showcasing the company’s Tensilica NNA (Neural Network Accelerator) 110 IP. These IPs can significantly improve the performance of edge and

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Cadence Demonstration of In-vehicle Infotainment

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 2023 Embedded Vision Summit. Specifically, Borkar demonstrates an automotive in-vehicle infotainment system, implemented on a customer’s platform and featuring the Tensilica Vision DSP. Infotainment is an important

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BrainChip Demonstration of Sensor-agnostic, Event-based, Untethered Edge AI Inference and Learning

Nandan Nayampally, Chief Marketing Officer and Head of Product at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Nayampally demonstrates the value propositions of BrainChip’s Akida platform. The Akida platform provides efficient AI edge processing, easily integrated fully digital IP, and a full stack

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BrainChip Demonstration of Vision and Edge Learning Solutions for Event- and Frame-based Cameras

Nikunj Kotecha, Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kotecha demonstrates BrainChip’s brain-inspired Akida platform. With the Akida platform, AI applications are free from the tethers of the cloud and can learn independently. Whether recognizing faces in conventional webcam images

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Avnet Demonstration of Its Edge AI Kit for Fast Stereo Face Recognition with NXP’s i.MX 8M Plus MPU

Monica Houston, Advanced Application Group AI/ML team manager at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Houston demonstrates Avnet’s Edge AI Kit, which provides stereo vision capabilities that help ensure facial recognition is accurate and secure, in action. Houston also explains what’s included

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Avnet Demonstration of the RZBoard V2L for Energy-efficient AI Acceleration with the Renesas RZ/V2L

Evan Stoddard, Advanced Applications Group Embedded Software Engineer at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Stoddard demonstrates Avnet’s RZ board for energy-efficient AI acceleration, featuring the Renesas RZ/V2L processor. In the demo, various AI/ML models are executed on the energy-efficient DRP-AI accelerator

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Avnet Demonstration of RASynBoard, a Low-power, Always-on, Edge AI Smart Sensor Module

Peter Fenn, Advanced Applications Group Director at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Fenn demonstrates why Avnet’s compact, embeddable RASynBoard module is an ideal solution for battery powered, edge-AI applications requiring always-on sound and sensor fusion processing. Based on the Syntiant NDP120

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Eye-Catching Edge AI and Vision Industry Case Study Clips

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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