Mike Connor reached for the microphone, with a faint smile on his face: "before the report starts, I want to explain to you what computer vision is."

"Some people may think that computer vision is very complicated, but it is very simple and can be understood literally."

"Computer vision is actually a science that studies how to make machines" see ". Furthermore, it refers to the technology that uses cameras and computers instead of human eyes to recognize, track and measure targets, which is more suitable for human eyes to observe."

For this reason, we have done a lot of research on object segmentation, object segmentation and image segmentation

"These research results promote the vigorous development of computer vision, so today, I would like to propose another topic, that is, the application of computer vision in the field of intelligent robots! Let intelligent robot have vision just like human beings

"Just recently, our computer vision development team of imperial technology has been working on a machine to replace human beings in digital image forensics, and identify those altered images through real tampering image training."

Quiet!

It was as quiet as death, and everyone was staring at Mike Connor, and they all knew that this was the first experiment of computer vision in robotics.

If successful, it will set off a huge storm in the computer field, which may change the pattern of several industries!

"Gulu ~" they all swallowed their saliva and asked carefully, "what's the result? Has the experiment been successful? "

"It's not success, it's not failure..." Think about it, Mike Connor said slowly.

Success is success and failure is failure. What does it mean if it is not success or failure?

Forgive them for reading less. They don't understand Mike Connor.

"Professor Connor, what do you mean?" After a long silence, someone in the crowd asked.

"Before doing the experiment, we selected 20 pictures and modified 10 of them to some extent, but the results of the experiment were not satisfactory."

"10 changed pictures, the computer only found 7 pictures!" "So I can't think of him as a success or as a failure for this result," said Mike Connor, with no expression

The overall test process is OK, but the test results are not satisfactory.

If computer vision can't be 100% correct, Mike Connor won't think he's successful.

Because of the 100 percent success rate, it's very important.

Just like his future application field face payment system, if the computer can not recognize the face 100%, then it is easy to steal brush.

This will not only bring huge economic losses to people, but also bring great influence to computer vision.

The first test, has reached 70% of the success rate!

What about the second and third time?

To put it bluntly, this is already a very high success rate.

They really can't understand why Mike Connor is still not satisfied!

"Professor Connor, the success rate of the first experiment reached 70%, which is a great achievement..."