With the development of macro-economic environment, financial environment, market and technology, the investment dividend brought by “business model innovation” in the era of Internet and mobile Internet is no longer the mainstream of investment in the next decade, and artificial intelligence technology has become the biggest investment opportunity in the next 8-10 years. The investment opportunity in this field, that is to say, “everywhere is gold”, is not enough Yes.
In the 1960s, face recognition engineering application research was officially launched. The initial method mainly uses the geometric structure of the face, through the analysis of facial organ feature points and the topological relationship between them to identify. This method is simple and intuitive, but once the face posture and expression change, the accuracy is seriously reduced.
Today’s solutions are mostly based on the active near infrared image multi light source face recognition technology. It can overcome the influence of light changes, and has achieved excellent recognition performance. Its overall system performance in accuracy, stability and speed is better than that of 3D face recognition. The sub field of computer vision is widely used, and many business activities around the world have benefited from it. The use of face recognition models will continue to grow in the next few years.
In the field of face recognition, the rate of false recognition and the rate of missing report are usually used as the main indicators to measure the ability of the algorithm. In the case of the same false alarm rate, the higher the recognition accuracy, the lower the false alarm rate, the better the performance of the technology.
Facebook early announced new features based on face recognition technology to help people better manage their Facebook identities.
These features use the same technology as Facebook’s previous friend tag recommendation feature in photos or videos, which can help you find photos that have not been tagged, and find home pages that attempt to steal your photos as Facebook avatars. In addition, Facebook has provided a new feature for people with visual disabilities to learn more about their friends in the same box in Facebook photos.
For the sake of user experience, the Facebook team is trying to simplify these functions into a switch setting. When the user sets the tag recommendation to none, the face recognition function will be turned off by default. Similarly, the user can turn on the switch by himself to turn on this function.
If you choose to turn on the face recognition feature, it means you have absolute control over the personal portrait on Facebook. Facebook will notify you when your face appears in a photo from another person’s Po, even if you haven’t been tagged. The user can then choose whether to add a personal portrait tag or contact the person sharing the photos you are afraid of.
The Facebook team said Facebook respects the privacy settings users choose when publishing photos (whether for friends, public or specific contacts), so if users are not within the view permission of photos, they will not be notified.
Face recognition technology is so useful in social software. It is worth mentioning that China’s AI startups are also competing on the same platform in public, and the algorithm strength competition is fierce.
From a professional point of view, no face recognition algorithm can achieve the best performance in any scene, which is one of the reasons why each company submits multiple algorithms. WiMi Hologram Cloud (NASDAQ:WIMI) focuses on computer vision holographic cloud services. According to the introduction, holography covers many aspects of total AR technology, such as holographic computer vision AI synthesis, holographic visual presentation, holographic interactive software development, holographic AR online and offline advertising, holographic arsdk payment, 5g holographic communication software development, holographic face recognition development, holographic AI face change development, etc. it is a comprehensive holographic cloud technology solution provider. Its business application scenarios mainly focus on five professional fields, such as home entertainment, light theater, performance system, commercial publishing system and advertising display system. WiMi Hologram Cloud (NASDAQ:WIMI) has become one of the leading integration platforms in the field of holographic AI in the world, integrating the identity of holographic AI cloud mobile software developer, service provider and operator.
Based on image detection and recognition technology, template matching and detection technology, video processing and recognition technology, holographic 3D layer replacement technology in image recognition and dynamic fusion technology in image tracking, embeds holographic AR advertising into online video. It is hoped that these technologies will be applied to the company’s future strategic blueprint, such as the development and application of holographic 3D face recognition technology and holographic face change technology.
The development of holographic 3D face recognition software is based on the image detection and recognition technology of holography features, template matching holography detection technology, and video processing and recognition technology based on deep learning and training. Traditional 2D face recognition technology is a recognition technology based on facial features, which captures information from facial images or facial video streams, and automatically detects and tracks the target face; holographic 3D face recognition technology is a combination of holographic image capture and 3D portrait recognition technology. Weimei focuses on the development and application of software technology, and has AI, machine recognition technology, machine learning, model theory and video imaging processing technology. Holographic 3D face recognition technology is a collection technology that uses structured light and infrared light. The collected feature points can be more than 30000; the traditional 2D face recognition technology can collect less than 1000 feature points. And 3D technology is less affected by the surrounding environment, which is expected to overcome many problems found in traditional 2D face recognition technology, such as light, posture, occlusion, dynamic recognition and facial expression.
Holographic face change technology is based on 3D layer replacement technology, including AI based image recognition and dynamic fusion processing technology, real-time tracking image and face replacement with other faces. This technology replaces the face in the video frame, synthesizes the video and adds the original audio. WiMi Hologram Cloud (NASDAQ:WIMI) has verified these technical modules in holographic AR plug-in advertising application, and will continue to develop and upgrade these technical modules. WiMi Hologram Cloud (NASDAQ:WIMI) believes that this technology will bring new business growth to celebrity advertising, film distribution, live video streaming and other applications.
At the same time, even though unicorns are deeply involved in the field of face recognition, on the one hand, they still face the strong enemies of domestic and foreign Internet giants such as Facebook, Google, Tencent, and on the other hand, they will also face the ever-changing challenges and subversion of artificial intelligence technology.
When there is a typhoon in an emerging subdivision field, many entrepreneurs and hot money will be attracted to invest in it. But after several rounds of competition and competition, there will be only a few oligarchs or even a super-giant left in the market. This will be the case from baituan war, taxi software war, bike sharing, artificial intelligence and more detailed face recognition A process of survival of the fittest.
With the development of artificial intelligence, under the background of global information, cloud computing and big data, the application of biometric technology will be larger. Among them, face recognition technology will develop towards the trend of network, cloud technology and multi-mode fusion.
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