FP-AI-VISION1 FoodReco

[ERICWU]

Hi,

I was trying to figure out how to use external memory and flash with xcubeai, and I found a video posted by STM32 says there is an example food recognition code in stm32ai-modelzoo-services on Github. However, I couldn't find it. Was it deleted?

thanks.

[Edouard Dulau]

Hi Eric,  we have this video STM32 FP-AI-VISION1 Video Application Notes: Part 2, FP-AI-VISION1 Overview   

You can also find some info in stm32ai-modelzoo-services/object_detection at main · STMicroelectronics/stm32ai-modelzoo-services · GitHub

Enjoy the ride with STM32 ! 

That’s a really interesting discussion on food recognition with STM32 and X-CUBE-AI! I recently came across a similar setup using AI for identifying food items, and it’s quite inspiring to see how edge AI applications are evolving. You can check a related example I found here: — it also explores food-based data processing

[johnhere]

FP-AI-VISION1 FoodReco is an innovative solution in food recognition technology, enabling users to quickly identify, track, and analyze meals using AI. Tools like this make it easier to manage nutrition, discover new foods, and even streamline ordering in restaurants. Similarly, for those exploring dessert and drink options in NYC, platforms like Mixue NYC Menu provide up-to-date Mixue menu items, prices, and locations, helping you make informed and delicious choices with ease. 

[longhornmenupricess]

Thanks for sharing this. Food recognition is a really interesting use case for edge AI, especially when running models directly on an STM32 device. It would be helpful if the example from the video was moved to a clearly documented location or if there were notes explaining whether it was renamed or removed. I’m also curious whether there’s a recommended alternative example for handling external flash and memory with xcubeAI, since that would make experimenting with food-recognition projects much easier.