iPhone X's Face ID feature, which ignites the topic of brushing faces, is the topic of how Face ID is reliable, where to apply it, and related technical analysis.
The iPhone X's Face ID is quite reliable, for a big reason:More accurate geometric composition
Project a more than 30,000 invisible spots on your face with a dot matrix projector to create your unique face geometry. The infrared lens reads the dot pattern, captures its infrared image, and sends the data to the security compartment in the A11 chip to confirm the match.
Face ID is not a simple image recognition system. It looks at the 3D model of the entire face, recognizing the special features of the user's face, and the extent to which the mask can't be deceived.
More than one billion images
To train Face ID, Apple collected 1 billion images and acquired a wide range of geographic and ethnic data sets around the world to test and verify the recognition rate of Face IDs.
These data must include a high-fidelity depth map of the face data. For this reason, the data cannot be sourced from the network, but can only be collected outside. After obtaining the approval of the scanned subject, very detailed facial data will be obtained from various angles. Scan and get more detailed data to train the Face ID system.
Adaptive feature
Face ID has an adaptive feature, whether you change your hair, have a big beard, or undergo a plastic surgery, it will recognize you after you "face". Because Face ID retrains the model through deep learning, it achieves self-adaptation.
Security and privacy
Like Apple's Touch ID, Apple promised not to hand over face data to law enforcement agencies because Apple never had it.
When you train the data, it is saved to the Secure Enclave as a mathematical model, and reverse engineering can't restore it to a face. The data is on the device side, not in Apple's cloud, and the Face ID data is encrypted.
Gaze perception
Face ID also has a "gaze-aware" feature that you must stare at to see if you can unlock it. This can prevent others from unlocking your face with your mobile phone while you sleep, and it avoids the risk that someone will not be able to unlock your phone while facing your face.
Can also brush the face in the dark
Face ID has a flood-sensing element that recognizes your face even in the dark with invisible infrared light. One thing to clarify here is that iPhone X does not emit visible light.
Reliable and fast
Regardless of the light, Face ID uses an RGB camera, infrared emitter, and dot matrix projector to cover a very wide array of scenes, recognizing not only very reliable, but also fast.
There is a situation where the user picks up the phone and swipes up the screen, and the Face ID system is likely to have completed the verification, unlocking your device while you have finished swiping.
Quickly disable Face ID
In some extreme cases, such as when a thief or policeman forces a mobile phone to be handed over, the user can quickly disable the Face ID, and can disable the Face ID by pressing any button while reaching for the phone.
Moreover, in an emergency, you can disable the Face ID by pressing any of the volume keys and power button at the same time. By default, you return to the mode where you need to enter the password to unlock.
In addition, compared to the old model, you need to press the power button 5 times quickly. iPhone X As long as you press any button on either side of the body, you can enter the shutdown interface. This operation is more concealed.
Automatic locking
Users need a password to enable Face ID in the following situations:
Face ID failed to unlock 5 times;
No FaceID has been used to unlock the device within 4 hours;
Never unlock your phone with a password or no password at all within 6.5 days;
Press the device's sleep/wake button or the device enters sleep mode;
Reboot the device.
Developer blocking
Developers cannot access the raw sensor data of the Face ID array. Instead, they can obtain depth maps for use in the application, including the ARKit application.
a fly in the ointment
Some glasses will block the infrared rays, in which case you can only remove the glasses to identify, or use a password to unlock.
For blind or visually impaired users, you can turn off the "gaze sensing" to use the Face ID, but the overall level of security is not that high, because it can't be sure that the user's eyes are looking straight at it and staring at it.
Because Face ID requires you to see your eyes, nose and mouth, which means it can't be used in some situations, such as users with things like veil on their faces.
In addition to the iPhone X, there are some newer face applications:
Brush face payment
Recently, Alipay paid for the face at the KPRO restaurant in KFC: choose a meal on the self-service ordering machine, enter the payment page, select “Alipay Brush Payâ€, and then perform face recognition, it takes about 1-2 seconds, then enter and The mobile phone number bound to the Alipay account can be paid after confirmation, and the payment process is less than 10 seconds.
KFC's ordering machine is equipped with a 3D infrared depth camera. Before face recognition, it will use the combination of software and hardware to perform live detection to determine whether the collected face is generated by photos, videos or software simulation. Effectively avoid the use of identity fraud caused by various face forgery.
This is also the first commercial pilot of brush face payment worldwide.
Brush face withdrawal
Recently, the Agricultural Bank of China has launched a “brush face withdrawal†on the ATM, users can take the card without a card. Stand in front of the ABC ATM, take a look at the camera, then enter the phone number, withdrawal amount, password, automatically dispense the money, take away the cash.
In addition to face recognition, the user also needs to enter the mobile phone number or ID number for identity confirmation, and finally rely on the key to withdraw money, and the security is more secure than the card withdrawal. However, if the cosmetic surgery is done, or if the makeup is too big for me, it may cause the recognition to fail.
In addition to ABC, China Merchants Bank is also a more radical AI technology explorer. Last year, China Merchants Bank realized the function of “brushing face†withdrawals on nearly 1,000 ATMs in 106 cities across the country.
Brush face into the station
At present, some train stations have launched the "brush face into the station" function. Passengers holding ID cards, train tickets, and then staring at the screen for a few seconds, passengers can quickly pass the check-in, as long as 3 seconds.
Passengers no longer have to queue up for manual ticketing, which not only greatly facilitates passengers, but also increases safety.
In addition, this brush face pit stop system is also connected to the public security network, and the criminal suspect reveals his face before the terminal.
When someone has a face injury or a multi-person brushing face, there is still a situation in which they cannot be identified. In this case, the station staff is required to perform secondary recognition.
Other brush face applications
At the end of June, China Southern Airlines opened the first personal face recognition intelligent boarding system at Henan Nanyang Airport. No documents or boarding passes were required. In front of the boarding gate, passengers only need to “brush face†to open the board at a second speed.
Recently, Ant Financial has helped people in Shanghai, Hangzhou, Shenzhen and other places to implement the “painting face†office through face recognition technology. The mobile phone camera can scan the public accumulation fund and report personal income tax.
Recently, Alipay and the self-reporting manufacturer “Hands-Easy†began to pilot the pickups in Shanghai, and according to the prompts, it takes only 5 seconds to pick up the pieces.
In addition, there are many applications for brushing faces. The small houses are not examples. The brush face application is very convenient to change our life.
Face recognition technologySince the era of brushing has arrived, what are the techniques for face recognition?
Face Detection
Detecting faces in a picture or video stream and returning face frame coordinates, and storing detected face data for advanced functions such as face matching and face search. main application:
Face-based human traffic statistics, using face detection technology, can easily identify all faces in the image or video and count, so that it is convenient to perform face-based traffic or attendance statistics in retail businesses, airports or schools. .
Group photos, find and mark all faces in the group photo, and configure high-precision intelligent algorithms to capture every smile in any occasion, whether it is a college graduation ceremony or a marathon.
Face key
Position and return the coordinate position of the key points of the facial features and contours. Key points include face contours, eyes, eyebrows, lips, and nose contours. Whether it's a still image or a dynamic video stream, the key points of the face fit perfectly on the face. main application:
Face photo editing, using face key points, can easily edit face photos and apply stunning fine effects such as face makeup, stickers, face facial features or appearance changes.
Video filters and stickers that streamline the faces in the video stream and add face filters or stickers in real time.
The 3D face model, with high-precision face key points, creates a stunning 3D model of the face in the video or image.
Face attribute
Based on the deep learning algorithm, a series of face-related attribute analysis can be performed. A variety of face attributes can be obtained, including age, gender, smile level, head posture, eye state, mood, face value, line of sight, mouth state, skin state, race, face image quality and blur degree. These precise face attribute information enables a variety of face-based photo analysis. main application:
Accurate delivery of ads, by analyzing the face attributes of the audience in real time, can deliver accurate matching advertising information.
Market research, using face attributes, can analyze customer attributes and behavior patterns. In the field of market analysis and media effect measurement, it has gained unprecedented inspiration and benefits.
Face comparison
Analyze the likelihood that two faces belong to the same person. Using the face matching technique, a confidence score and a corresponding threshold can be obtained to evaluate the similarity. main application:
Face-based user verification, using face matching technology, can compare real-time photos and base maps to verify user identity. This is widely used in creating face login or remote core functions.
The combination of face and face automatically compares the face photo with the photo of the ID, such as a passport, driver's license or ID card photo, which helps to improve efficiency and accuracy in the security scene.
Face search
For a new face, search for a similar face in an existing face collection. Through a precise and powerful face search algorithm, a series of similar faces can be returned, along with corresponding confidence scores and thresholds to assess similarity. Mainly used:
Smart photo library, through face search, can easily aggregate similar faces in albums. This allows you to create a smart photo album app with automatic face aggregation.
Brush the face to access, collect the face image of the visitor, and search in the identity photo library to confirm the identity of the visitor. Face search technology is widely used in automatic access control or visitor registration systems.
Security monitoring, which can detect faces in the monitoring screen and search for similar faces in a preset database to quickly locate suspicious people or missing people.
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