And communications the republic of uzbekistan tashkent university of information technologies

II.Main part. A solving problems in authentication system and making
software development........................................................................................
 
31 
2.1.
The existing problems of authentication and protocols…………... 31 
2.2. Analyze facial recognition system……………………………….. 39 
2.3. A making Face recognition application for developing software
security in android mobile systems …………………………………….. 
49 
III. Safety of vital activity…………………………………………….............. 59 
3.1.
Rational organization of work place…………………………….... 59 
3.2.
Emergency………………………………………………………... 65 
Conclusion ..................................................................................................... 68 
Reference ......................................................................................................... 69 
Appendix............................................................................................................ 70 

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INTRODUCTION 
Humans often use faces to recognize individuals, and advancements in 
computing capability over the past few decades now enable similar recognitions 
automatically. Early facial recognition algorithms used simple geometric models, 
but the recognition process has now matured into a science of sophisticated 
mathematical representations and matching processes. Major advancements and 
initiatives in the past 10 to 15 years have propelled facial recognition technology 
into the spotlight. Facial recognition can be used for both verification and 
identification. The human face plays an important role in our social interaction, 
conveying people’s identity. Using the human face as a key to security, biometric 
face recognition technology has received significant attention in the past several 
years due to its potential for a wide variety of applications in both law enforcement 
and non-law enforcement. 
Face recognition is a task that humans perform routinely and effortlessly in 
our daily lives. Wide availability of powerful and low-cost desktop and embedded 
computing systems has created an enormous interest in automatic processing of 
digital images in a variety of applications, including biometric authentication, 
surveillance, human-computer interaction, and multimedia management. Research 
and development in automatic face recognition follows naturally. 
The purpose of diploma work, there are 3 part, conclusion and bibliography 
First part. Theory part: About android mobile systems, its version and 
improving of android mobile systems. 
Second part. Main part: The existing problems of authentication and some 
protocols, analyzing facial recognition systems and making face recognition 
software application in android system. 
Third part. Safety of vital activity: In this part about safety of vital activity 
is mentioned.

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