Hello.
I’ve read this article - [url]https://medium.com/@ageitgey/build-a-hardware-based-face-recognition-system-for-150-with-the-nvidia-jetson-nano-and-python-a25cb8c891fd[/url] and I want to create mini-project (in the next time- it will be a startup - who knows)
Will be high to make personalize discounts and recommendations in clothing stores… for example :
- you’re the first time in the store (make/combine Datasets ) for unique Face ID
- your next time in the store = analyze your (tracking, orders and something else…)
- if you had orders = make preferences and create Mind map preferences for ID and generate Data to the Dashboard
For deployment (I think…)
- Jetson TX2 or Nano (it will be perfect and not expensive for prototyping)
- Two parallels mode of work = for create new classification ID Face (collection Data) and method of Recognition
- One serv for learning (for each week) transfer Data and Learning Neural Network … nad of course back to new Face ID model to devices in the store.
Features:
- gender identify
- age
- Frequency visit (use Face ID)
- Recognition Clothes what you are choosing or choose
I think it will be interesting. What do you think about it? (Please comment …)