The 3D camera is different from the traditional camera, namely the 2D camera. Normally, the normal camera that is in contact is only two-dimensional, and there is no depth, that is to say, each scene is continuously played in a plane. The difference between the 3D camera is that it adds depth measurement to the subject based on the two-dimensional image, that is, the grayscale image information of the scene and the 3-dimensional information including the depth. The industry believes that the transition from 2D to 3D cameras will be the fourth revolution after black and white to color, low resolution to high resolution, and still images to motion pictures. If the touch screen implements the interaction from one dimension to the plane, the 3D camera will change the interaction mode from plane to solid.
    3D camera application
    The most well-known consumer applications for 3D cameras are somatosensory cameras, such as the Kinect camera Kinect for Microsoft XBOX game consoles; the hottest areas are robots, such as autopilot, AR/VR, smart security, smart home, consumer entertainment and so on. In the future, this equipment will become an important foundation for emerging industries such as robots, drones, and autonomous driving, and artificial intelligence +3D has naturally become an industry innovation.
    Face recognition
    Nowadays, face recognition has more and more opportunities in the consumer market, such as mobile identity authentication, payment transaction confirmation, permission login, mobile phone self-timer fast focus, self-portrait beauty. The convenience brought by face recognition will bring about a change in the way people consume their lives. Image acquisition is the entrance of face recognition. The quality of the image information collected by the camera directly determines the accuracy of the final judgment. However, almost all of the face recognition cameras still capture 2D images and lack depth. This makes it difficult to use synthetic images or videos for various deceptive face recognition applications, such as PS face change and screen remake. , masking, modelling drivers, etc. However, if a 3D camera is used to realize 3D face biometric recognition, no matter how realistic the synthesized image or video is, it can only present a 2D image on the screen, which is bound to fail to be detected by the 3D face in vivo.
    Gesture Recognition
    Gesture recognition application scenarios are also very extensive. Whether it is the consumer-level market of games, entertainment, or the automotive market, it requires a lot of hand movements to participate. The current two-dimensional gesture recognition can only achieve some relatively simple operations, such as controlling the start and pause of video playback, viewing photos, and the like. But for more complex sports games or AR/VR, 2D gesture recognition is not perfect. The intelligent hardware of the integrated 3D camera in the future will greatly promote the popularity and application of 3D gesture recognition, which will also bring an interactive experience closer to the human way than the touch screen interaction.
    3. Car Assisted Driving System
    In the car assisted driving system, the introduction of the 3D camera gives the car a "sixth sense". The 3D camera can constantly track the driver's eyelid movements. When detecting that the driver is drowsy or inattentive, he or she can immediately respond and even start the emergency braking system. With the radar, it can also provide accurate road condition information to avoid car accidents.
    4. Consumer Electronics
    In the consumer electronics arena, 3D cameras are also about to detonate the market. In 2016, the world's first smartphone with Tango technology: Lenovo and Google redefine the new category of mobile devices with PMD's exclusive 3D technology. The smart phone's "wind vane" Apple has deployed a new generation of iPhone8 3D camera.
    Foreign giants rush to layout
    In recent years, 3D cameras have developed rapidly. Many frontier applications, such as VR, robotics, and security, will increasingly rely on it for a more accurate experience. Giant companies abroad have begun to lay out in the 3D camera industry chain: Not only STMicroelectronics, Hamamatsu, Osram, Amys, Broadcom and other components and module manufacturers, but also Microsoft, Google, Intel, Apple, Samsung, Sony Such as comprehensive system solutions provider.
    In 2012, Microsoft began involving real sense technology. It has acquired Tof (canned time) camera companies canesta and 3dv, and developed the Kinect2 generation on its own. Using the ToF principle, it has greatly improved its accuracy, resolution, and response time. In 2015, the new RealSense was introduced and Handpose was invented to enable the computer to more accurately recognize gestures and apply it to the HoloLense AR head-mounted display that was introduced in 2016. At present, RealSense3D camera has been integrated into Dell, Lenovo, Asus, HP, Acer and other manufacturers' products.
As one of the artificial intelligence experts, Google has long been keen to smell the opportunity of the 3D camera market. Its star project ProjectTango was successfully implanted in PHAB2Pro of the Lenovo mobile phone in 2016 to realize the layout of motion tracking, depth perception, and area learning in advance. ProjectSoli, a 60GHz millimeter-wave gesture recognition technology proposed at the Google Developers Conference in 2015, is even more refreshing. Its 60GHz millimeter wave compensates for the inability of infrared light to pass through the occluded object.
    Apple's layout of the 3D sensor business dates back to 2013, when it acquired 3D sensing technology company PrimeSense, which became popular with Microsoft's Kinect sensor. The industry also agrees that its technology will be applied to Apple's own hardware products, and it is true that the 3D camera is deployed on iPhone 8 and iPhoneX released by Apple in 2017. The application of Apple's "wind vane" to 3D cameras is likely to trigger the re-emergence of "similar fingerprint sensors on consumer electronics blasting", making 3D cameras the mainstream configuration for biometric and facial recognition.
    The 3D camera opens up the situation for many “painful point application scenarios” and is the provider of future artificial intelligence “opening the world”. The 3D camera market is on the verge of revolution, and it has a great impact on artificial intelligence, human-computer interaction, face recognition, AR/VR, and autonomous driving. In the future, you can also use the 3D camera to generate content directly, without any additional processing. This fully solves the shortcomings that currently lack high-quality VR content, and will bring a surge in people's interest in direct shooting of VR content.