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
“Omnilert Gun Detect: Harnessing Computer Vision to Tackle Gun Violence,” a Presentation from Omnilert
Chad Green, Director of Artificial Intelligence at Omnilert, presents the “Omnilert Gun Detect: Harnessing Computer Vision to Tackle Gun Violence” tutorial at the May 2024 Embedded Vision Summit. In the United States in 2023, there were 658 mass shootings, and 42,996 people lost their lives to gun violence. Detecting and… “Omnilert Gun Detect: Harnessing Computer
“Adventures in Moving a Computer Vision Solution from Cloud to Edge,” a Presentation from MetaConsumer
Nate D’Amico, CTO and Head of Product at MetaConsumer, presents the “Adventures in Moving a Computer Vision Solution from Cloud to Edge” tutorial at the May 2024 Embedded Vision Summit. Optix is a computer vision-based AI system that measures advertising and media exposures on mobile devices for real-time marketing optimization.… “Adventures in Moving a Computer
“Bridging Vision and Language: Designing, Training and Deploying Multimodal Large Language Models,” a Presentation from Meta Reality Labs
Adel Ahmadyan, Staff Engineer at Meta Reality Labs, presents the “Bridging Vision and Language: Designing, Training and Deploying Multimodal Large Language Models” tutorial at the May 2024 Embedded Vision Summit. In this talk, Ahmadyan explores the use of multimodal large language models in real-world edge applications. He begins by explaining… “Bridging Vision and Language: Designing,
“Using MIPI CSI to Interface with Multiple Cameras,” a Presentation from Meta
Karthick Kumaran Ayyalluseshagiri Viswanathan, Staff Software Engineer at Meta, presents the “Using MIPI CSI to Interface with Multiple Cameras” tutorial at the May 2024 Embedded Vision Summit. As demand rises for vision capabilities in robotics, virtual/augmented reality, drones and automotive, there’s a growing need for systems to incorporate multiple cameras.… “Using MIPI CSI to Interface
“Introduction to Depth Sensing,” a Presentation from Meta
Harish Venkataraman, Depth Cameras Architecture and Tech Lead at Meta, presents the “Introduction to Depth Sensing” tutorial at the May 2024 Embedded Vision Summit. We live in a three-dimensional world, and the ability to perceive in three dimensions is essential for many systems. In this talk, Venkataraman introduced the main… “Introduction to Depth Sensing,” a
“Advancing Embedded Vision Systems: Harnessing Hardware Acceleration and Open Standards,” a Presentation from the Khronos Group
Neil Trevett, President of the Khronos Group, presents the “Advancing Embedded Vision Systems: Harnessing Hardware Acceleration and Open Standards” tutorial at the May 2024 Embedded Vision Summit. Offloading processing to accelerators enables embedded vision systems to process workloads that exceed the capabilities of CPUs. However, parallel processors add complexity as… “Advancing Embedded Vision Systems: Harnessing
When, Where and How AI Should Be Applied
Phil Koopman dissects strengths and weaknesses of machine learning based AI AI does amazing stuff. No question about it. But how hard have we really thought about “machine-learning capabilities” for applications? Phil Koopman, professor at Carnegie Mellon University, delivered a keynote on Sept. 11, 2024 at the Business of Semiconductor Summit, (BOSS 2024), concentrating on
“Using AI to Enhance the Well-being of the Elderly,” a Presentation from Kepler Vision Technologies
Harro Stokman, CEO of Kepler Vision Technologies, presents the “Using Artificial Intelligence to Enhance the Well-being of the Elderly” tutorial at the May 2024 Embedded Vision Summit. This presentation provides insights into an innovative application of artificial intelligence and advanced computer vision technologies in the healthcare sector, specifically focused on… “Using AI to Enhance the
BrainChip Demonstration of LLM-RAG with a Custom Trained TENNs Model
Kurt Manninen, Senior Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Manninen demonstrates his company’s Temporal Event-Based Neural Network (TENN) foundational large language model with 330M parameters, augmented with a Retrieval-Augmented Generative (RAG) output to replace user
Advex AI Demonstration of Accelerating Machine Vision with Synthetic AI Data
Pedro Pachuca, CEO at Advex AI, demonstrates the company’s latest edge AI and vision technologies and products at the September 2024 Edge AI and Vision Alliance Forum. Specifically, Pachuca demonstrates Advex’s ability to ingest just 10 images and produce thousands of labeled, synthetic images in just hours. These synthetic images cover the distribution of variations
