Edge AI Vehicle Monitoring with Arduino UNO Q

Hi everyone, I'm Stephano, part of the marketing team at Dino and I'm here with Kit, solution engineer at AIUS. Together with your team, we built a multi-stage computer vision demo that is pretty much a pipeline that does way more than just absolutely right. And the edge part of this multi-stage computer vision use case is running here directly on the Arduino Uno Q. And what we're doing is uh being able to detect and track vehicles and then take that cropped image of the vehicle along with the prompt you see on the side of the screen here up to a cloud-based LLM to gather some more contextual information about the image. — Sure. So as you can see there are some questions and the reply from the LM is okay this is a white car from this specific brand and so on. So this is a beautiful application because it shows how we incre the market for smart product or industrial solutions alike. — Absolutely. And also highlight the flexibility in being able to ask different kinds of questions gather the contextual information that you need from your solution. — Thank you Nick. Great work.