1、Table of ContentsHuman Face Identification:Evolution of ApproachesHow to Build a Face Recognition System Step by StepFace Recognition Software Workflow1.FACE DETECTION2.DATA NORMALIZATION/ALIGNMENT3.FEATURE EXTRACTION4.FACE IDENTIFICATION5.FOLLOW-UP ACTIONS:ALERTING,GRANT ACCESS,AND OTHERFacial Reco

2、gnition Feature Integration into ApplicationFACE RECOGNITION SYSTEM AND PERIPHERAL DEVICESUse Cases of Face RecognitionMASKED FACE DETECTION AND RECOGNITIONIDENTIFYING SIGNS OF THE DISEASERECOGNITION OF EMOTIONSACCESS SYSTEMS TO BUILDINGS AND PREMISESFacial Recognition Software Development Services

3、by MobiDev1Automated face recognition quickly moved from the category of interestingnovelties to significant gamechanger in various industries.It has become apopular element for protecting digital devices,mobile and desktop applications,and websites.Therefore,it is no coincidence that the demand for

4、 AI face recognition solutionsis dynamically growing.The facial recognition market,which was approximately5 billion USD in 2021,is estimated to reach 12.92 billion USD in 2027.If you are looking for a way to integrate facial recognition into your app,thisarticle will explain the sequence of steps ne

5、eded to do so.We will consider inwhich cases ready-made solutions will suffice and when it is necessary to createcustom face recognition software from scratch.You will realize why custom AI face recognition offers such a significantcontribution to security empowerment.Also,after getting acquainted w

6、ithvarious business cases,you will be able to more precisely identify your need forcustom face recognition software development services.Human Face Identification:Evolution ofApproachesScientists and inventors paths to automating face detection and recognitionwere neither easy nor quick.At first,the