Chapter 765: Amazing Success Rate
Mike Connor stretched out his hand to hold the microphone, with a faint smile on his face: "Before the report officially begins, I want to explain to everyone what computer vision is."
"Some people may imagine computer vision to be 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". Further, it refers to the use of cameras and computers instead of human eyes to identify, track and measure objects, becoming a technology more suitable for human observation."
"We have done a lot of research for this, such as image classification, object detection, object tracking, language segmentation, and instance segmentation."
"These research results promote the vigorous development of computer vision, so today, I want to propose another topic, which is to apply computer vision to the field of intelligent robots! Let intelligent robots have vision just like humans!"
"Just recently, our Imperial College computer vision development team has done a time, and has built a neural network all the way to a machine, allowing him to replace humans in digital image forensics, and identify those altered through real tampered image training. pictures."
quiet!
It was deadly quiet, and everyone was staring at Mike Connor, who knew that this was the first experiment with computer vision in robotics.
If successful, it will set off a huge storm in the computer field that has the potential to change the landscape of several industries!
"Gulu~" Everyone swallowed their saliva and asked cautiously, "What's the result? Did the experiment succeed?"
"It's not a success, it's not a failure..." After thinking about it, Mike Connor said slowly.
Success is success, failure is failure, what does this mean?
Forgive them for not reading much, they kind of don't understand what Mike Connor meant.
"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 a certain extent, but the results of the experiment were not satisfactory."
"The computer only found 7 of the 10 altered pictures!" Mike Connor said with a blank expression: "So, for this result, I can't think he succeeded or failed."
The overall test process is OK, but the test results are not satisfactory.
If computer vision can't get it 100% right, Mike Connor doesn't think he's successful for a day.
Because 100% success rate is very important.
Just like the face payment system in his future application field, if the computer can't even recognize the face 100%, then it is easy to be stolen.
This will not only bring huge economic losses to people, but also have a great impact on the discipline of computer vision.
The first test has already reached a 70% 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 figure out why Mike Connor is still not satisfied!
"Professor Connor, the first test has a 70% success rate, which is already a very impressive result..."