social practice> Types of section> 2019 Computer Vision and Pattern Recognition Professional Project
                            2019 Computer Vision and Pattern Recognition Professional Project
                            Project Category: Science and Engineering Internship Research
                            Enrollment quota: 3-5 people
                            Suitable for groups: high school students, college students
                                                        Activity time: annual enrollment
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project's venue:

                                Remotely

Project purpose:

                                Under the leadership of experts, students will learn more about the history of computer vision and pattern recognition, and the application of artificial intelligence in this field. Using computer vision and pattern recognition related technology, processing experimental data, and writing English patents to complete patent applications.

project cost:

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First, the project background

Computer vision is the science of how to make a machine "look". It refers to the use of cameras and computers instead of human eyes to identify, track and measure targets, and further graphic processing, so that it is more suitable for human eye observation or transmission to instrument detection. Image. Pattern recognition refers to the process of processing and analyzing various forms of information that characterize things or phenomena to describe, identify, classify, and interpret things or phenomena. The pattern recognition involved in the current research is mainly to identify and classify the specific patterns of speech waveforms, seismic waves, electrocardiograms, EEGs, pictures, photos, words, symbols, biosensors and other objects. The development and application of computer vision relies on the help of pattern recognition.

Computer vision and pattern recognition are two important areas of research in engineering science. The ultimate goal is to make computers have the same visual function as human beings and the ability to recognize various things or relationships. Many fields have benefited from the development of computer vision and pattern recognition: fingerprint recognition systems, face recognition systems, and vehicle autopilot systems.

This project is guided by the professional team of the Institute of Automation of the Chinese Academy of Sciences, learning computer vision and pattern recognition expertise, and writing English patents.

Second, the project highlights

1. International platform: Institute of Automation, Chinese Academy of Sciences

The Institute of Automation has 12 research and development departments, including State Key Laboratory of Pattern Recognition, State Key Laboratory of Complex System Management and Control, National ASIC Design Engineering Technology Research Center, Key Laboratory of Molecular Imaging of Chinese Academy of Sciences, and High Technology Innovation Center. , Integrated Information Systems Research Center, Digital Content Technology and Service Research Center, Precision Perception and Control Research Center, Aerospace Information Research Center, Brain Network Group Research Center, Intelligent Perception and Computing Research Center, Brain-like Intelligence Research Center. There are also a number of joint laboratories and engineering centres built with other international and other innovative units. In addition, Hanwang Technology and Sanbozhong have been waiting for more than ten high-tech companies.

2. Results-oriented professional topics

Under the leadership of the experts, the students will study the development history of computer vision and pattern recognition and the application of artificial intelligence in this field. Using computer vision and pattern recognition related technologies (conditional Generative Adversarial Networks, Convolutional Neural Network, Deep Q-Network, Q-Learning, Deep Learning, etc.), processing experimental data, and writing English patents to complete patent applications.

3, expert recommendation letter

Through the form of group cooperation, each person plays different research roles in detail, and coordinates each other in training set processing, data recording, patent writing, etc., and works together to solve problems. Students who pass the course will receive a personal recommendation letter from the associate researcher.

4. Efficient research methods

This activity will be carried out in the form of basic knowledge learning + technical practice + patent application. Before the practice of the project, we will organize students to learn the basic knowledge related to computer vision, pattern recognition and artificial intelligence, and read the professional literature to guide students to complete. Technical practice, processing experimental data, and writing English patents to complete patent applications.

Different from other short-term training programs, students not only learn professional knowledge, but more importantly, they participate in the practice of the subject personally, and finally get overseas innovation patents, and maximize the practical effects of the activities!

Third, suitable for the crowd

1. Apply for a target major in the fields of computer, artificial intelligence, and electronic engineering.

2. Students who want to learn professional methods of computer vision and pattern recognition and improve their research and experimental skills.

3. I want to enrich my research background in computer, pattern recognition, artificial intelligence, etc., and develop students who are interested in their own interests.

Fourth, the basic information

1. Project arrangement:

W1: Background material and basic theoretical knowledge

W2: Analytical methods and practical exercises

W3: Subject Practice and Patent Course

W4: Subject practice, English patent writing and application

  2. Admission requirements:English scores above level 4 or TOEFL scores above 80 or IELTS 6.0 or above

3. Project time

The first phase:

Project time: 2011.04.16 - 2019.05.14 (remote)

Registration deadline: 2019.05.01

Number of students enrolled: 3-5 people

the second term:

Project time: 2011.05.16-2019.06.13 (remote)

Registration deadline: 2019.06.01

Number of students enrolled: 3-5 people

The third period:

Project time: 2019.07.01-2019.07.24 (remote); 7.25-7.31 (in the field)

Registration deadline: 2010.7.23

Number of students enrolled: 4-6 people

Fourth period:

Project time: 2019.08.01-2019.08.14 (remote); 8.15-8.21 (in the field); 8.22-8.31 (remote)

Registration deadline: 2011.08.14

Number of students enrolled: 4-6 people

Fifth period:

Project time: 2019.09.25-2019.10.01 (remote); 10.02-10.07 (in the field); 10.08-10.23 (remote)

Registration deadline: 2019.10.01

Number of students enrolled: 4-6 people

Sixth issue:

Project time: 2019.12.01-2019.12.31 (remote)

Registration deadline: 2019.12.15

Number of students enrolled: 3-5 people

V. Registration method

support hotline:888-8888-8888

  address:15th Floor, Block B, China Electronics Building, No. 3 Danling Street, Zhongguancun, Haidian District, Beijing