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

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

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

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

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

Cadence Demonstration of Tensilica DSPs’ Vision and AI Capabilities for Industrial Products
David Bell, Product Marketing Director for Tensilica AI IP products at Cadence, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Bell demonstrates the vision and AI capabilities of Tensilica DSPs for industrial products, in the process also answering the question of whether a tomato is

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

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

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

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

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