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
Edge AI and Vision on Renesas RA8P1 MCU
Take a look at the Renesas flagship MCU, RA8P1, featuring a 1GHz ARM Cortex-M85 and Ethos-U55 NPU. Here we are showcasing one facial detection demo using YOLO and a Wheat Disease Detection demo, in partnership with Moschip.
Commonlands Demonstration of Field of View & Distortion Visualization for M12 Lenses & S-Mount Lenses
Max Henkart, Founder and Optical Engineer at Commonlands, demonstrates the company’s latest products at the December 2025 Edge AI and Vision Alliance Forum. Specifically, Henkart demonstrates Commonlands’ new real-time tool for visualizing field of view and distortion characteristics of M12/S-Mount lenses across different sensor formats. This demo covers: FOV calculation for focal lengths from 0.8mm
“Three Big Topics in Autonomous Driving and ADAS,” an Interview with Valeo
Frank Moesle, Software Department Manager at Valeo, talks with Independent Journalist Junko Yoshida for the “Three Big Topics in Autonomous Driving and ADAS” interview at the May 2025 Embedded Vision Summit. In this on-stage interview, Moesle and Yoshida focus on trends and challenges in automotive technology, autonomous driving and ADAS. First up: Sensor fusion is
“Toward Hardware-agnostic ADAS Implementations for Software-defined Vehicles,” a Presentation from Valeo
Frank Moesle, Software Department Manager at Valeo, presents the “Toward Hardware-agnostic ADAS Implementations for Software-defined Vehicles” tutorial at the May 2025 Embedded Vision Summit. ADAS (advanced-driver assistance systems) software has historically been tightly bound to the underlying system-on-chip (SoC). This software, especially for visual perception, has been extensively optimized for specific SoCs and their dedicated
“Object Detection Models: Balancing Speed, Accuracy and Efficiency,” a Presentation from Union.ai
Sage Elliott, AI Engineer at Union.ai, presents the “Object Detection Models: Balancing Speed, Accuracy and Efficiency,” tutorial at the May 2025 Embedded Vision Summit. Deep learning has transformed many aspects of computer vision, including object detection, enabling accurate and efficient identification of objects in images and videos. However, choosing the right deep neural network-based object
“Depth Estimation from Monocular Images Using Geometric Foundation Models,” a Presentation from Toyota Research Institute
Rareș Ambruș, Senior Manager for Large Behavior Models at Toyota Research Institute, presents the “Depth Estimation from Monocular Images Using Geometric Foundation Models” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Ambruș looks at recent advances in depth estimation from images. He first focuses on the ability to estimate metric depth from
“Introduction to DNN Training: Fundamentals, Process and Best Practices,” a Presentation from Think Circuits
Kevin Weekly, CEO of Think Circuits, presents the “Introduction to DNN Training: Fundamentals, Process and Best Practices” tutorial at the May 2025 Embedded Vision Summit. Training a model is a crucial step in machine learning, but it can be overwhelming for beginners. In this talk, Weekly provides a comprehensive introduction to the fundamentals of model
“Introduction to Depth Sensing: Technologies, Trade-offs and Applications,” a Presentation from Think Circuits
Chris Sarantos, Independent Consultant with Think Circuits, presents the “Introduction to Depth Sensing: Technologies, Trade-offs and Applications” tutorial at the May 2025 Embedded Vision Summit. Depth sensing is a crucial technology for many applications, including robotics, automotive safety and biometrics. In this talk, Sarantos provides an overview of depth sensing technologies, including stereo vision, time-of-flight
“Lessons Learned Building and Deploying a Weed-killing Robot,” a Presentation from Tensorfield Agriculture
Xiong Chang, CEO and Co-founder of Tensorfield Agriculture, presents the “Lessons Learned Building and Deploying a Weed-Killing Robot” tutorial at the May 2025 Embedded Vision Summit. Agriculture today faces chronic labor shortages and growing challenges around herbicide resistance, as well as consumer backlash to chemical inputs. Smarter, more sustainable approaches are needed to secure the
