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 Processing 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.
7, Linkface face cloud technology: the world's leading face recognition technology services
Founded in 2014, it has created an innovative face detection algorithm based on deep learning, and built a set of efficient and stable face analysis system, including face detection, face key point detection, face recognition, face attribute analysis. , complete testing and other technologies required for identity authentication.
Link face four co-founders
Link face's FDDB face detection and 300-WBenchmark accuracy rate in 2015, LFW face recognition accuracy rate of 99.5% or more results in the attention of the financial business circle, and initial cooperation with China UnionPay and Jingdong wallet, The “Paint Face Payment†method will be launched soon.
8. Speed ​​Technology: Let robots know the world and use robots to change the world.
Speed ​​Technology is an artificial intelligence startup with machine vision as its core. The company was established in July 2014 and has completed two rounds of financing. The team's main creative staff are the background of the Department of Computer Science and Information Design of Tsinghua University, the School of Computer Science of Beijing University of Aeronautics and Astronautics, and the postgraduate and doctoral background of the University of Pennsylvania. They also participate in the technical cooperation of Microsoft Research Asia and national key infrastructure projects.
At present, the company's main products are intelligent follow-up robots with visual follow-up as the core, systematic operation solutions for intelligent drones and robots, and machine vision as the main core module for different application users.
9. çæ³·Intelligence: a leader in fatigue driving warning technology
The core team of the company was initiated by a former Chinese People's Liberation Army and a military graphic image technology transfer expert. The company's visual identity technology has passed the comprehensive testing requirements of many multinational electronics companies and domestic car manufacturers in Japan and Europe.
çæ³·Intelligent technology, in the field of “active and safe driving†in the Internet of Vehicles, as a pioneer in the development of advanced driver assistance systems at home and abroad, China's leading “vehicle visual identity early warning system†technology supplier.çæ³·Intelligent technology customers include: pre-installation market: vehicle manufacturers, first-level integrated suppliers; and after-sales market users: passenger transport, freight, dangerous transport, taxis, school buses, high-speed rail locomotives, bus buses, etc. Supervised "two passengers and one crisis" transportation enterprises.
10, Sense TIme business soup: church computer to understand the world
Shangtang Group is a technology innovation company dedicated to leading the breakthrough of artificial intelligence core “deep learning†technology and building artificial intelligence and big data analysis industry solutions. We have successfully gathered the best and most influential deep learning, computer vision scientists, and leading figures from a number of industries including Google, Baidu, Microsoft and Lenovo. Under the background of the rise of the artificial intelligence industry, Shangtang Group has rapidly become a leading enterprise in the artificial intelligence industry with more than ten years of accumulation in technology, talents and patents.
In terms of applied technology, technologies such as face recognition, character recognition, human body recognition, vehicle recognition, object recognition, and image processing based on deep learning are far ahead in the industry. In business, Shangtang Group is deeply involved in finance, mobile internet, and security monitoring. The industry has deep cooperation with various industry giants such as UnionPay, Jingdong, Lakara, Huawei, Xiaomi, Sina Weibo, Keda Xunfei, Dongfang Netpower, and Nvidia to promote the intelligent upgrading of industry products.
11, Tupu Technology: focus on image recognition
Guangzhou Tupu Network Technology Co., Ltd. is an entrepreneurial technology company standing at the forefront of artificial intelligence, focusing on the overall solution for image recognition.
Committed to creating a new generation of computer vision understanding and artificial intelligence engine, allowing computers to recognize people, recognize things, and teach computers to understand the world. The company mainly provides intelligent audit, image value-added, image search and deep customization services for enterprises. After the product was launched in April 2015, it has been officially cooperated with domestic well-known companies such as Thunder, Cool Dog, Sing Bar, 58 City, Second Shot, Small Coffee Show, Xiu Color Entertainment, 21CN, etc., in addition to entering the Seven Niuyun. , Rongyun, UCloud, our products indirectly serve hundreds of customers, and the scale of business is growing rapidly.
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