Recently, a video about "China Skynet" swept the circle of friends. In the video, we can see that in addition to identifying pedestrian facial features, the "Skynet" system can also connect to databases and perform matching searches based on identifying characteristics. In this way, it will play a huge role in the search for criminals and the search for missing persons.
At the “Hangzhou Yunqi Conference†held yesterday, the performance of face recognition technology was even more dazzling. It is understood that this technology is not only used for the background management of the conference. During the conference, China Post expressly displayed the black technology of brushing and picking pieces, successfully winning the audience's attention.
It can be seen from the related related videos released that after the user receives the notification of the pickup, he can go to the cabinet to pick up the parts. Aiming at the camera, the courier cabinet can capture images through an infrared camera, collect images near infrared and visible light, and analyze face textures and micro-expressions for face recognition. If the match is successful, the door is opened and the user can take the parcel.
Compared to the previous courier brother asked you to pick up pieces, you may have to find a half-day scene in a pile of parcels, is it right? This is not the most important thing. It is understood that the response degree of the entire brush face picking process has reached the millisecond level, and is equipped with a financial risk prevention module to effectively filter factors affecting face recognition such as photos, videos, software synthesis, and masks. This effectively prevents others from stealing users' express delivery by taking photos and printing photos. It can be said that collecting parts by brushing not only improves the efficiency of picking pieces, but also greatly reduces the loss rate of emails.
Widely used face recognition
In fact, face recognition technology has long since entered the public view. Many people have taken planes. When the airport security checkpoint examines air tickets, the security inspectors will let the passengers face the camera. This process is to perform facial recognition and verify whether the holder is It is me. However, this facial recognition process requires the occupants to remain still. And for the friends who often fly by plane, the long queues and long waits for security are really uncomfortable.
In order to solve this problem, Dubai International Airport announced that it will use face recognition technology from 2018 to replace the ordinary passport inspection process. According to reports, passengers departing from Dubai do not need to go through the exit inspection, but enter a special channel with about 80 face recognition technology cameras. Channels will also be displayed inside the channel. The visitors will only be able to enjoy the views of the channel and they will be identified by the camera's lower profile. As a result, the problem of increased traffic flow will be more effectively dealt with.
In addition to the areas of logistics and security, security and security, a black technology has emerged at the intersections of cities such as Shenzhen, Jinan, Haikou, and Shanghai: the red face recognition system. The system can capture the pedestrians with red lights and expose them on the big screen of the intersection. When a pedestrian with a red light looks up, it will see the ugly state of the red lights that have been exposed.
In practical applications, most pedestrians who are in the red light will be aware of the mistakes. In order not to continue being exposed, they will contact the traffic police and accept fines in order to remove the photos. Through the use of "shame and heart" in combination with "black technology," the "Chinese-style cross-street" bad habits have also been subject to certain restrictions.
Face recognition market prospects and challenges
The relevant analysis report shows that the global face recognition market has grown from 390 million U.S. dollars in 2009 to 2.653 billion U.S. dollars in 2016, with an average annual compound growth rate of 31.5%, achieving rapid development. It is expected that the face recognition market will maintain a growth rate of around 20% for a period of time. By 2022, the global face recognition market will reach 7.595 billion U.S. dollars.
With such rapid growth, the outlook is good. However, face recognition technology still has some defects. In particular, the acquisition conditions and the collection of objects, for example, the lighting conditions of the collection environment may affect the collection effect. When people face each other, if they shave their beards, change their hairstyles, wear glasses, or change their expressions, they may fail to compare. And for twins, face recognition is almost impossible due to too many similar features.
In addition, if the face image is captured in a non-matching situation, the monitored object may wear glasses, hats, and other accessories, which may make the collected face image incomplete, thereby affecting the subsequent feature extraction and recognition. Can cause the face detection algorithm to fail.
At the same time, facial appearance changes with age, especially for adolescents. Therefore, the influence of age change on the face recognition algorithm must also be solved.
However, from the development trend, more and more research institutes have begun to conduct more in-depth research on face recognition technology. At the same time, advanced technologies such as artificial intelligence will further improve face recognition. In the era of the Internet of Things, face recognition is also expected to become an effective identity and the business prospects are very broad.
Domestic and foreign face recognition major players
For a long time, research on face recognition at home and abroad has been very active. Economically developed countries such as the United States, Japan, and Germany and some developing countries have research institutes conducting research on this issue. Xiaobian has collected and collected several well-known face recognition companies at home and abroad for your reference:
Foreign companies: German CognitecSystem, Spanish HertaSecurity, Japanese NEC, American Identix, Bioscrypt, Google, and Facebook.
Among the above, Germany's Cognitec is mainly engaged in face recognition systems for government projects. Herta, Spain is a company with a strong academic atmosphere, while NEC Corporation is mainly engaged in robot vision recognition systems. The United States Identix Corporation is multi-mode authentication (fingerprint, iris) as the main business, and Bioscrypt company from the early fingerprint recognition attendance, and later moved to the field of face recognition, in the market occupy a considerable share.
These five companies belong to the earlier and older players. Google and Facebook have not entered the face recognition field for a long time. However, due to their strong technical strength and massive data support, they occupy the mainstream of foreign face recognition companies. The status is also reasonable.
Domestic companies: Shang Tang Technology, Science and Technology News, Science and Technology, Cloud Cong Technology.
Among them, Shang Tang Technology can be said to be the leading enterprise in the field of face recognition technology in China. It surpassed Facebook and Google in a public evaluation and gained the favor of the well-known venture capital firm IDG. It was first engaged in intelligent speech. And language technology. In 2014, Professor Tang Xiaoou teamed up with the Chinese University of Hong Kong to jointly launch the world’s leading face recognition technology. The recognition rate is as high as 99%. GTS Technology currently provides facial scanning systems for Alibaba’s ant gold suits in finance, The security and retail sectors have started commercial exploration and successfully developed a number of vertical face authentication solution products such as Face++Financial; Yuncong Technology, established in April 2015, is a focus of incubation from the Chongqing Research Institute of the Chinese Academy of Sciences. High-tech companies in computer vision and artificial intelligence. At present, it has become the largest supplier of face recognition in China's banking industry.
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