The problem of building a face recognition pipeline faces numerous challenges such as changes in lighting, pose, and facial expressions. The main stages of the pipeline include detection, alignment, feature extraction, and face representation. Each of these stages is critically important for achieving accurate recognition.
In the article were researched the principles of building systems for observation and recognition of objects. Also we have given the classification of human faces recognition methods. Authors have analized the features of operetion for the progressive calibration network (PCN) for human face recognition. And finally has been created and tested the developed face recognition algorithm as the realized software system.
Intelligent information system “Smart lock” for the protection of apartments is considered and described. A general description of smart homes and the relevance of their use is made. Described an issue which appear when using smart home devices. Examples of two existing similar models are provided: SmartLock and Schlage Sense Smart Lock. An analysis of their advantages and disadvantages is made to take this information into account for the device that going to be created. A brief description of up-to- date information on face recognition techniques is provided.