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
Video over Ethernet on Lattice CrossLink™-NX FPGA: Microsecond Latency Demo
Tecphos demonstrates real-time video over Ethernet using a Lattice CrossLink-NX 40 FPGA at the Embedded Vision Summit. The FPGA captures raw image data from a MIPI image sensor, processes and scales it, and simultaneously delivers an uncompressed stream to the host while compressing it to JPEG on-chip. Compressed data is formatted into Ethernet packets and
Mark Oliver Demonstrates AI Segmentation Accelerated in Hardware AI Accelerators on the FPGA Fabric
Mark Oliver, the VP of Marketing at Efinix demonstrates how multiple AI models can be compiled to run on dedicated AI accelerators implemented in the high performance Titanium FPGA family. He shows how Efinix supplied tools can be used to optimize an AI model to run on an AI accelerator delivering hardware level performance while
Mark Oliver Demonstrates the Power of Custom Instruction Acceleration for Edge AI
Mark Oliver, the VP of Marketing at Efinix demonstrates the ability to run four independent AI models on the hardened quad core processor inside the Titanium family of FPGAs. He shows how an intuitive software flow can be accelerated through custom instructions to run “bottle neck” software routines in the FPGA fabric at hardware speed
Mark Oliver Demonstrates Super Resolution on the Power-Efficient Efinix Titanium FPGAs
Mark Oliver, the VP or Marketing at Efinix demonstrates the superior performance of an AI algorithm to perform super resolution on a low resolution image. This approach is only feasible due to the low power consumption and superior performance of the Efinix Titanium family of FPGAs meaning that the super resolution functionality can be placed
Cadence x MosChip Demo: On-Device SLM Voice Agent on a Vision DSP (Cloud-Free Conversational AI)
This demonstration by MosChip and Cadence shows a Small Language Model (SLM) voice assistant running entirely on-device on the Cadence Tensilica Vision Q7 DSP within an Axera AX650N platform – with no cloud connection. It walks through the full interaction loop: spoken input is converted to text, a compact quantized language model (SLM) generates
Beyond the Bench: The Hard Truth About Robotics Automation in Logistics with Pickle Robotics
This video was originally published by Peridio. It is reprinted here with the permission of Peridio. In this episode of Beyond the Bench from Peridio, Bill Brock sits down with Ari Eisenstein, co-founder and CTO of Pickle Robotics. They discuss the evolution of robotics and AI, focusing on Pickle’s innovative approach to logistics automation. Ari
Vedya Labs Demonstration of Stable Diffusion Deployment on Cadence Tensilica DSPs
Suresh Pasupuleti, Managing Director of Vedya Labs, presents the company’s work in bringing Stable Diffusion-based image generation to DSP-centric embedded platforms. The demonstration showcases a nearly 500-million-parameter model running on the Axera AX650N SoC, with the text encoder, U-Net, and VAE stages optimized for dual Cadence Tensilica Vision DSPs. Using INT8 quantization and a combination
Bolom Sound Classification on Cadence Tensilica HiFi 5
Mauricio Greene of Bolom demonstrates real-time Sound Classification running on the Cadence Tensilica HiFi 5 DSP at the Embedded Vision Summit. Bolom Acoustic Intelligence edge models identify hundreds of distinct sound events and soundscape scenes – such as sirens, alarms, horns, traffic and more, fully on-device and without relying on the cloud. The Tensilica HiFi
Pulling Back the Curtain on a Smarter, More Connected AI Future
At the 2026 Embedded Vision Summit, Boston AI CEO Peter Winston explores the latest advances shaping the future of AI. From intelligent agents to next-generation edge applications, he highlights how AI is evolving beyond task automation to become a more capable and collaborative partner within organizations. The video concludes with a look at emerging trends
Insight Mirror: The mirror that sees you. The mirror that knows you. The mirror that talks back.
At the 2026 Embedded Vision Summit, Dan Daogaru shows an interactive, AI-aware smart mirror designed to redefine customer engagement. The Insight Mirror is not just a reflection; it is a fully integrated, intelligent AI companion capable of dynamic, voice-first conversations, open-vocabulary visual recognition, and presence-aware engagement. Built around a single high-performance C++20 application and fully
