We are at the stage of sticker recognition, so we haven’t tested image classification yet. It is always possible to have some errors for a network. We planned to add more critical information on sticker to aid classification.
CAO, Xuanyu
January 19, 2022 3:27 pm
Interesting. What is the main technical challenge of implementing this system? Is it the image processing part?
Indeed. Also the integration of different hardware modules is quite challenging as well.
TANG, Erqiang
January 19, 2022 3:01 pm
A very interesting project! I’d like to know if you plan to implement the image classification part? And how would you like to separate the sticker from the background?
Thank you for your interest! We will try to find a suitable network such as YOLO to do the classification. Separating sticker from background can be done with 2D code because we can redesign the sticker.
An interesting work. How accurate is the method for image classification? Is that possible to have some errors? How to make it robust and reliable?
We are at the stage of sticker recognition, so we haven’t tested image classification yet. It is always possible to have some errors for a network. We planned to add more critical information on sticker to aid classification.
Interesting. What is the main technical challenge of implementing this system? Is it the image processing part?
Indeed. Also the integration of different hardware modules is quite challenging as well.
A very interesting project! I’d like to know if you plan to implement the image classification part? And how would you like to separate the sticker from the background?
Thank you for your interest! We will try to find a suitable network such as YOLO to do the classification. Separating sticker from background can be done with 2D code because we can redesign the sticker.
That’s great. Thanks for your reply!