Total financing in the field of artificial intelligence has been growing steadily year after year, from $200 million in 2010 to $600 million in 2013 to $1.2 billion in 2015. In the first quarter of 2016, the field of artificial intelligence has reached more than 400 million US dollars, which is comparable to the same period in 2015, and it is expected to rise to the next level.
Artificial intelligence will also develop in the next few years. Machine vision and computer vision are two important branches, and they have also made great progress.
Computer vision and machine vision
Computer vision is a science that studies how to make a machine "look". Further, it refers to the use of cameras and computers instead of human eyes to identify, track and measure machine vision, and further graphic processing to make computers It becomes an image that is more suitable for human eye observation or transmission to the instrument for detection. Computer vision can also be seen as the science of how to make artificial systems "perceive" from images or multidimensional data. Its ultimate research goal is to enable computers to visually observe and understand the world like humans, with the ability to adapt to the environment.
Machine vision is to use the machine instead of the human eye to make measurements and judgments. The machine vision system converts the ingested object into an image signal through machine vision products (ie, image capturing device, divided into CMOS and CCD), and transmits it to a dedicated image processing system to obtain shape information of the target, according to pixel distribution and Information such as brightness and color is converted into a digitized signal; the image system performs various operations on these signals to extract features of the target, and then controls the action of the device on the basis according to the result of the discrimination.
From the subject classification, both are considered to be subordinate subjects of ArTIficial Intelligence, but computer vision software is used to identify and analyze images through algorithms, while machine vision software and hardware include (acquisition equipment, light source, lens, control, mechanism, algorithm). Etc.) refers to the system, which is more practical. To put it simply, we can think of computer vision as the science of studying how to make a machine look, and machine vision is the science of studying how to use it after reading it.
With the continuous development of hardware, algorithms and big data, the entire artificial intelligence field is facing unprecedented scale growth, which has also prompted many foreign startup companies to be acquired by large companies.
In May, Amazon.com acquired a top European machine vision team for research in the field of drones. Coincidentally, Intel acquired the Italian computer vision company Itseez for the driverless field. ARM announced the acquisition of Apical, a British embedded computer vision technology company, for $350 million. Previously, Snapchat acquired computer vision company Seene; Pinterest acquired visual startup company VisualGraph; Twitter acquired Madbits, a computer vision startup based on deep 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 (Computer Vision) startups have also emerged in China.
1. Despise technology: let the machine understand the world
Beijing Vision Technology Co., Ltd. was established in November 2012, when it received an angel financing from Lenovo Star; in 2013, it won a million-dollar A round of investment in innovative workshops; in May 2015, it completed a round B financing of $22 million.
The company specializes in face recognition technology and related product application research, providing services to developers, providing a complete set of face detection, face recognition, face analysis and face 3D technology visual technology services, mainly through the provision of cloud API, The offline SDK and the user-oriented self-developed product form have widely applied face recognition technology to Internet and mobile application scenarios.
Face++ said that they are currently the most used face recognition engine in the world. Through cooperation with many Internet companies, they have mastered 5 million face image databases through “desensitization†technology, and the accuracy of face recognition LFW in Internet pictures. The rate reached 99.6%. The partners include a large number of large-scale pictures, social and equipment companies such as Ali, 360, Weibo, Momo, Mito, etc., and Alibaba has begun to adopt its facial recognition technology, which is used in Alipay. "Smile payment" service.
2, cloud from technology: the face recognition technology derived from the father of computer vision
Guangzhou Yunshang Information Technology Co., Ltd. (referred to as Yun Cong Technology) is a high-tech enterprise specializing in computer vision and artificial intelligence. The core technology is derived from the academician of the Fourth Academy and the father of computer vision, Professor Thomas S. Huang. The core team won the world of intelligent recognition worlds from 2007 to 2011, and obtained strategic investment from listed companies Jiadu Technology and Hong Kong Jieyi Capital.
The company's main technical team comes from the Chongqing Branch of the Chinese Academy of Sciences. It is the most powerful face recognition team in the research and development of the Chinese Academy of Sciences. It is the only face recognition team for the strategic pilot science and technology project of the Chinese Academy of Sciences. The representatives participated in the security control of Xinjiang Kashgar and other places.
3, Green squat: let the computer understand the world
Gling is a technology company that applies computer vision and deep learning technology to the commercial field. The self-developed squat technology is the world leader in the detection, tracking and identification of people and vehicles. With massive data, the company lets computers read the world like humans, real-time access to everything that is happening in the natural world, and a search engine for the natural world.
4. Beijing Moshanghua Technology Co., Ltd.: Artificial Intelligence Computer Vision Engine
Clothing + is the leading artificial intelligence computer vision engine. In the international top computer vision competition ImageNet2015, won five world firsts. Currently working with a number of top organizations to provide an engine (viewing and recognizing more than 300 categories and 400 scenes) by providing an engine while watching and searching for more than 100 of the same items in real-time search in videos and pictures. ), the face attribute analysis engine serves a large number of users, while helping the content side to achieve scenario marketing. Team members come from CMU, Singapore National University, Nanyang Polytechnic, Tsinghua University, Peking University, Chinese Academy of Sciences, Shanghai Jiaotong University, Google, Microsoft, IBM, Intel, Alibaba, Tencent, Baidu, 360, Jumei and so on.
5, according to technology: with you to build the future of computer vision
Established in September 2012, and obtained the $1 million angel investment of Xu Xiaoping, the founder of Zhenge Fund, in January 2015, he obtained the multi-million dollar A round of financing from Gaochun Capital. Currently working on computer vision, intelligent understanding of image and video, and distributed systems and big data applications, providing users with computer vision products based on image and video understanding.
At the beginning of its establishment, Etu was responsible for vehicle identification. It mainly cooperated 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 points of the product to finance. Compared with vehicle object recognition, the application range and scene of face recognition are more extensive, and of course the difficulty is much higher. At this year's Shanghai Financial Exhibition, Yitu and China Merchants Bank launched the face-lifting payment function.
6, code long technology: the most fashionable artificial intelligence
Malong Technologies is an artificial intelligence company focused on leading deep learning and computer vision technology breakthroughs, creating a world-leading visual decision engine and providing companies with leading international, customized computer vision solutions.
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