Top 10 of China Machine Vision Company

To make the machine understand the world, Top10 Artificial Intelligence, a computer vision company, will also have blowout-like development in the next few years. Machine vision and computer vision, as two important branches of it, have also made considerable progress.

Total financing in the field of artificial intelligence has been growing steadily year by year, from $200 million in 2010 to $600 million in 2013, to $1.2 billion in 2015. In the first quarter of 2016, more than $400 million has been financed in the field of artificial intelligence, which is comparable to the same period in 2015 and is expected to rise even higher throughout the year.

Computer Vision and Machine Vision

Computer vision is a science that studies how to make the machine "see". To go further, it means to use cameras and computers instead of human eyes to recognize, track and measure the target, and to further do graphic processing, so that computer processing becomes more suitable for human eyes to observe or transmit to the instrument to detect the image. Computer vision can also be seen as the science of how to make artificial systems "perceive" from images or multi-dimensional data. Its ultimate research goal is to enable computers to observe and understand the world through vision, like human beings, and have the ability to adapt to the environment independently.

Machine vision is to measure and judge with machine instead of human eyes. Machine vision system is to convert the captured object into image signal through machine vision products (i.e. image capturing device, divided into CMOS and CCD) and transmit it to a special image processing system to obtain the shape information of the captured object, and convert it into digital signal according to the information of pixel distribution, brightness, color, etc. The image system performs various operations on these signals to extract the target. Features, and then according to the results of discrimination to control the field equipment action.

In terms of subject classification, both of them are regarded as subordinate subjects of Artificial Intelligence. However, computer vision partial software recognizes and analyses images through algorithms, while machine vision hardware and software include (acquisition equipment, light source, lens, control, mechanism, algorithm, etc.), which refers to the system and is more practical. Simply put, we can think of computer vision as the science of "how to make machines look", while machine vision is the science of "how to use after seeing".

With the continuous development of hardware, algorithms and big data, the whole field of artificial intelligence is facing unprecedented growth in scale, which has also prompted many foreign start-ups to be acquired by large companies.

In May, Amazon acquired a top European machine vision team for UAV research. Coincidentally, Intel acquired Itseez, a Russian computer vision company, for use in the field of driverless driving. ARM announced the acquisition of Apical, a British embedded computer vision technology company, for $350 million. Earlier, Snapchat acquired computer vision company Seene; Pinterest acquired visual startup Visual Graph; and Twitter acquired computer vision startup Madbits based on in-depth learning.

At the same time, the ability of image recognition is getting stronger and stronger, and the error rate is getting lower and lower. A large number of excellent computer vision start-ups have also erupted in China.

1. Ignoring Technology: Let Machines Understand the World

Beijing Wide-sighted Technology Co., Ltd. was established in November 2012. The company focuses on the application research of face recognition technology and related products. It provides services for developers. It can provide a set of visual technology services of face detection, face recognition, face analysis and face 3D technology. It mainly provides cloud API, off-line SDK, and user-oriented independent research and development product forms. Face recognition technology is widely used in Internet and mobile application scenarios.

Face++ has mastered 5 million face image databases by cooperating with many Internet companies and using "desensitization" technology. The accuracy rate of LFW in face recognition of Internet pictures reaches 99.6%. Partners include a number of large-scale photo, social and equipment enterprises such as Ali and 360.

2. Cloud from Science and Technology: Face Recognition Technology from the Father of Computer Vision

Guangzhou Yuncong Information Technology Co., Ltd. (hereinafter referred to as Yuncong Technology) is a high-tech enterprise focusing on computer vision and artificial intelligence. The core technology comes from Professor Thomas S. Huang Yutao, academician of the Fourth Academy and father of computer vision. The core team has won the world championship of intelligent identification six times from 2007 to 2011, and obtained the strategic investment of listed company Jiadu Technologies and Hong Kong Jieao Capital.

The company's main technical team is from Chongqing Branch of the Chinese Academy of Sciences. It is the most powerful face recognition team in the research and development of the Academy of Sciences. As the only face recognition team of the Academy's strategic pilot technology project, the company's representative participates in security deployment and control in Xinjiang Kashgar and other places.

3. Green's Deep Pupil: Let the Computer Understand the World

Gling Deep Pupil is a technology company that applies computer vision and deep learning technology to the business field. The independently developed deep pupil technology ranks the world's leading level in the detection, tracking and recognition of people and vehicles. With the help of massive data, the company enables computers to understand the world like human beings, acquire what is happening in the natural world in real time, and build search engines in the natural world.

4. Moushanghua Technology (Clothes+): Computer V

Clothes + is the world's leading AI computer vision engine. ImageNet2015, the world's top computer vision competition, has won five world championships. It is dedicated to the perception and cognitive intelligence in artificial intelligence. It has reached the leading level in the detection, recognition, understanding, search and recommendation of scenes, general objects, commodities and faces in image and video. At present, we cooperate with many top organizations and products, such as Aliyun, Huawei, Youku Potatoes, Weibo, 360, Huashu, Jingdong, Tianmao Magic Box, CIBN, Yingweida, Interesting Tat, Zanthoxylum, Laixiang, etc., to serve a large number of users by providing side-by-side engine, image and video content analysis engine, and face attribute analysis engine, while helping the content side to realize scene marketing, intelligent analysis and product development. Content interaction. The team members are from CMU, Singapore National Congress, Nanyang Technologies, Tsinghua, Peking University, Chinese Academy of Sciences, Shanghai Jiaotong University, Google, Microsoft, IBM, Intel, Alibaba, Tencent, Baidu, Huawei, 360, Jumei, etc. Get Alibaba Youku A round investment.

5. Ito Technology: Building the Future of Computer Vision with You

Founded in September 2012, and received the True Fund founder Xu Xiaoping's $1 million angel investment, in January 2015, acquired millions of dollars of A round financing of Gaorong Capital. At present, it is devoted to the research of computer vision, intelligent image and video understanding and distributed system and large data application, providing users with computer vision products based on image and video understanding.

At the beginning of its establishment, Yitu was used for vehicle recognition, mainly in cooperation with public security systems such as Jiangsu, Fujian and Chengdu. Later, it began to develop a static portrait comparison system for face recognition applications, and turned one of the key products to finance. Compared with vehicle object recognition, the application scope and scene of face recognition are more extensive, of course, the difficulty will be much higher. Shanghai Finance this year. At the exhibition, Yitu and China Merchants Bank launched the facial brushing, withdrawal and payment function.

6. Malong Technology: The Fastest Artificial Intelligence

Malong Technologies is an AI company focusing on leading in-depth learning and breakthroughs in computer vision technology. It is committed to building a world-leading visual decision engine and providing international leading and customized computer vision solutions for enterprises.

7. Novotel Technology: Artificial Intelligence for Motion Capture

Beijing Noitom Technology Ltd. is an internationally competitive company in motion capture. It was founded in 2012. The core team of the company is composed of a group of engineers with the world's top standards. The main founders of the company have overseas study and working background. Research fields include sensors, modal recognition, motion science, finite element analysis, biomechanics and virtual reality. Novotel has developed a world-leading "motion capture technology based on MEMS inertial sensors", and on this basis, formed a series of low-cost and high-precision motion capture products with fully independent intellectual property rights.

8. Quick Sense Technology: Let Robots Know the World and Change the World with Robots

Quick Sense Technology is an AI start-up company with machine vision as its core. Founded in July 2014, the company has completed two rounds of financing. The team's founders are Tsinghua University Department of Computer Science and Information Design, Beijing University of Aeronautics and Astronautics School of Computer Science and University of Pennsylvania Graduate and PhD background. They also participate in the technical cooperation of Microsoft Asia Research Institute and key national basic projects.

At present, the company's main products are intelligent and random robots with visual follower as the core, systematic operation solutions for intelligent UAVs and robots, and customized system design for different application users with machine vision as the main core module.

9. Sense Time Technology: Teach Computers to Understand the World

Shangtang Group is a science and technology innovation company, committed to leading the core of artificial intelligence "deep learning" technology breakthroughs, building artificial intelligence, big data analysis industry solutions. Shang Tang has successfully gathered influential in-depth learning and computer vision scientists among Chinese people. Under the background of the rise of AI industry, Shangtang Group has rapidly become one of the leading enterprises in AI industry with the accumulation of technology, talents and patents for more than ten years.

10. Tupu Technology: Focusing on Image Recognition

Guangzhou Tupu Network Technology Co., Ltd. is a pioneering technology company standing at the forefront of artificial intelligence, focusing on the overall solution of image recognition.

Committed to building a new generation of computer vision understanding and artificial intelligence engine, so that computers can recognize people, objects, teach computers to understand the world. The company mainly provides intelligent auditing, image value-added, image search, in-depth customization services for enterprises. After its launch in April 2015, our products have officially cooperated with some famous domestic companies such as Xunlei, Cool Dog, Singing Bar, 58 Tongcheng, Stopbeat, Cafe Show, Xiu Xiu Mutual Entertainment, 21CN, etc. In addition, our products have indirectly served hundreds of customers by entering Qiniuyun, Rongyun and UCloud, and our business scale is developing rapidly.