For the state, face recognition is an important part of the security system. For journalists, it’s either a panacea or an instrument of world conspiracy. For business - a tool.
What you need to know about face recognition technology
Users are more likely to encounter technologyface recognition in their own smartphones, where biometric identification is used to unlock the device and access data only its owner could. A 3D camera is necessarily involved in the recognition process so that it is impossible to fool the gadget with a photograph.
There is still real face identificationtime and real conditions: in this case, it is inextricably linked with video surveillance systems, where faces are literally “snatched” from the video stream captured by cameras.
Imagine a high-quality modern cameraCCTV, placed just above average human height in a well-lit place. In front of her, approximately the same number of approximately the same people pass every day. They do not move very fast.
Video can be stored in a cloud archive. An analytical module is connected to the camera: a complex combination of algorithms (artificial intelligence, neural networks) and a user interface. The module “snatches” faces from the video stream, determines gender and age, and enters data into the database.
Gradually, images become larger. The system remembers all recognized faces automatically and saves them in the archive, and the user with the permission indicates additional data: name, position, status, other marks (“VIP-guest” or “thief”). You can upload a photo of the person you need, and the module will find all the detections of that person in the archive.
As soon as a person with a mark passes again in front of the camera, the system captures this as an important event and sends a push notification to interested users.
Is it possible to deceive the face recognition algorithm
And nevertheless, definitely answer this questiondifficult because the only ideal face recognition algorithm does not exist. Big glasses, a glued beard, a cap, a high speed of movement, special makeup (for example, the "lattice", waves, circles and sticks.) - All this can confuse the algorithm. Especially in the aggregate, because 70% of an open face is enough for recognition.
Despite the misses that happen, accuracymachine recognition often already surpasses the one with which people define faces. In China, there is already a system capable of finding a specific person among 1.3 billion other residents in 3 seconds with an accuracy of 90%.
What is the purpose of face recognition?
Many companies provide off-the-shelf services inas a cloud API (software intermediaries between applications) for a high-quality solution to these problems. In addition to IT giants like Microsoft, Facebook and Google, specialized companies are also engaged in face recognition. Their technologies are rapidly developing and provide even more interesting functions, such as identification of faces and silhouettes in the crowd.
Retail Identification is used totargeted advertising. For example, in some stores X5 Retail Group installed cameras to recognize facial expressions and age of customers. Analyzing this data, the system displays on the monitor screen products that a person may like. Another example is the case of Lolli & Pops, a large US pastry shop. The face recognition system identifies regular customers and sends notifications to their smartphones about products that they may like (taking into account individual preferences and even allergies to products).
Good Luck Guys!