I have a UR3 robotic arm and a wrist camera, which can realize object recognition on the teach pendant, but I hope that the recognition algorithm can be changed.
I designed a CNN algorithm and hope to use it.

You can retreive the image of the last screw shoot taken by the camera and process it.
Check this post:
https://dof.robotiq.com/discussion/275/wrist-camera-live-image
I did it this way. My browser shows "status: success",and I can see the picture. Thank you very much.bcastets said:You can retreive the image of the last screw shoot taken by the camera and process it.
Check this post:
https://dof.robotiq.com/discussion/275/wrist-camera-live-image
and,second question,I want to change the model of the neural network.
I do not know what to do.
Is there no CNN involve with the camera ? How does camera recognize objects ?bcastets said:@ruihao_xie
You can only get the imagine from the camera. Once you have this imagine you can analyze it on a PC using the technology of your choice. It could be neural network.
There is no CNN involve with the camera.
https://scikit-image.org/ is nice image processing library.
You also have Opencv. The website https://learnopencv.com/ is good to learn opencv.
bcastets said:@ruihao_xie
We have a software analyzing images on the UR controller. It use traditional vision algorithms. We don't use CNN.
So, can I only use the CNN algorithm externally?
Is there any other way besides this?
I want to use the camera to take pictures of apples ,and I will use CNN to identify it.bcastets said:@ruihao_xie
As you have the image of the camera, you can do what you want with a custom vision algorithm. Use CNN or other technology to analyse the image.
and I want let the UR3 arm grab it. What should I learn?
Thank you very much!