In 2018, artificial intelligence is hot, and computer vision technology represented by face recognition is the most representative one in artificial intelligence applications. Face recognition is based on human facial feature information for identity recognition. In recent years, breakthroughs have been made and the scope of application has become wider and wider.
During the Spring Festival, the concept of “Olympic Pass” at the PyeongChang Winter Olympics allowed the Olympic Games to enter the “brushing era”; some national provinces and cities’ electronic ID cards were launched, using face recognition; specializing in “Chinese-style crossing the road”, face recognition At the concert of Jacky Cheung, the face recognition system captured fugitives... Once and for all, face recognition constantly brushed out the sense of existence and became closer to people's lives.
The relevant analysis report shows that the face recognition market is expected to maintain a growth rate of around 20%. By 2022, the global face recognition market will reach $7.595 billion. The size of the Chinese face recognition market accounts for about 10% of the global market, and it is expected to continue to expand in the future.
While the domestic face recognition market continues to expand, face recognition technology manufacturers have quietly emerged and the team has grown. Face-to-face, business soup, wisdom eye, and Yitu represent the face-lifting emerging companies that have grown rapidly in the past few years and have emerged on the domestic and international stage. Hikvision and Dahua are supported by traditional security technologies. Shares, Jiadu Technology and other enterprises, combined with modern security technology, apply face recognition more effectively in security practice.
In 2018, what are the companies worthy of attention in the field of face recognition? Let us look back at the first half of the year.
Beijing Desire Technology Co., Ltd. is based on deep learning and IoT sensing technology, based on its own original deep learning algorithm engine Brain++ innovative enterprise, its core technology is face recognition technology Face++. Face++ has won numerous awards in the past few years. In 2018, Desperate Technology took the new retail express train and reached a strategic cooperation with the domestic convenience store digital new retail enabler, Fresh Life, and jointly established the Artificial Intelligence New Retail Research Institute.
Shang Tang Technology
SenseTime is the world's leading artificial intelligence platform company, supporting innovations in more than a dozen vertical industries in the fields of face recognition, image recognition, text recognition, medical image recognition, video analysis, and unmanned driving. change. On April 25, 2018, at the creAIte Creative Intelligence – 2018 Shangtang Artificial Intelligence Summit, Shangtang Technology released the first smart car product SenseDriveDMS driver monitoring system. The system combines deep learning technology and embedded chip optimization technology with original leading computer vision and deep learning technology to realize real-time intelligent detection and reminder of driver's fatigue driving, driving distraction, dangerous action and other driver status. Driving safely escorted.
Wisdom Eye Technology focuses on computer vision technology and focuses on artificial intelligence technology in the fields of security, justice, transportation, medical care, human society and other fields. Among them, face recognition technology ranked first in the megaface million interference level face recognition algorithm challenge organized by Google. The finger vein recognition technology won the global algorithm challenge champion for three consecutive years. The identity authentication platform built with the face recognition technology as the core has won the “Internet +” major engineering project of the National Development and Reform Commission, and the solution based on the video structured big data platform has been applied in many ways in the construction of smart cities. At the 2018 number fair, Wisdom Eye demonstrated a real-time dynamic monitoring system for face recognition based on FPGA chip, which received wide attention.
Yitu Technology is mainly engaged in innovative research on artificial intelligence, and is committed to combining advanced artificial intelligence technology with industrial applications to build a safer, healthier and more convenient world. On March 23, 2018, at the "Huawei China Eco-Partners Conference 2018" held in Qingdao, Huawei and the artificial intelligence company Yitu Technology jointly released the "Huawei-Yitu video cloud portrait big data" solution, which can support static pictures. Data processing by various complex front-end devices such as dynamic video streaming, dynamic picture streaming, low-definition picture quality, and moiré noise. The billion-level data retrieval comparison can return results in seconds, and the false alarm rate is as low as 10 billion. one.
Face recognition technology can be said to be the earliest and most widely used in the security industry. As a leading company in the security industry, Hikvision focuses on the supply of security products and solutions. While expanding the security field, Hikvision continues to deepen in the field of artificial intelligence. Different from traditional artificial intelligence enterprises, Hikvision not only does the algorithm of face recognition, but also the products and system solutions related to face recognition. In the first half of 2018, Hikvision also launched a series of new products, and face recognition is also one of the core support technologies for these products.
Similar to Hikvision, Dahua is also a traditional security company. It applies technology based on actual combat requirements in the application of face recognition products. In April 2018, Dahua Co., Ltd. launched the F7500-P, the strongest face recognition server based on GPU architecture. The face recognition server has high-performance portrait processing capability, and supports real-time portrait analysis of videos and pictures, which not only improves the recognition processing speed and accuracy, but also accomplishes the "impossible tasks" in the past, and expands the processing capacity by an order of magnitude. It can also expand the analysis and processing capabilities according to the customer's business volume, which is more conducive to business scenario applications.