## All features and implementation:

1. Two-Step Verification:

Login Page made using Tkinter in Python 3, which is linked using a mysqllite3 database.
Once that verification is complete, you will be asked to verify yourself as admin using facial recognition. Only after these two steps will the admin menu open.

Main

Webcam

2. The main interface:

This is the main interface in which you can see the main features and have
the necessary actions taken place.

Interface

3. Click to register a new student.

Add new student into the database and map his/her facial features.

It will be seen as something like this in the facerec_128D.txt file.

{%u201C**Rishabh**%u201D: {%u201C**Left**%u201D: [[-0.08857411891222, -0.013328742235898972, 0.045192185789346695, 0.06593235582113266, 0.07181892544031143, -0.02451349049806595, -0.0008240576717071235, -0.10689839720726013, 0.004937916528433561, 0.13439585268497467, -0.1266225427389145, 0.06688152998685837, -0.07906737178564072, -0.2503505051136017, -0.09821527451276779, 0.00887088943272829, 0.07310174405574799, 0.04754112288355827, 0.039231643080711365, -0.048129040747880936, 0.08559799194335938, 0.03705426678061485, -0.049444954842329025, 0.021733097732067108, -0.131277933716774, 0.13494974374771118, -0.04066428169608116, -0.011854524724185467, 0.062259819358587265, 0.0764424279332161, 0.09991776943206787, -0.04010583832859993, 0.036400649696588516, -0.08750853687524796, -0.005311599466949701, -0.06827758252620697, -0.08045513182878494, -0.04325050488114357, 0.0635976567864418, -0.08059954643249512, -0.10530292987823486, 0.015154648572206497, -0.11859557032585144, 0.09017852693796158, 0.05019151791930199, 0.09819871932268143, -0.05376705154776573, 0.12599189579486847, -0.10198838263750076, 0.10567402094602585, 0.03724795952439308, -0.023543009534478188, -0.025222115218639374, -0.02436627447605133, 0.06199340894818306, 0.05257124826312065, 0.09913825988769531, -0.15212902426719666, -0.043736133724451065, -0.11437535285949707, -0.19793258607387543, -0.2234376072883606, -0.030257174745202065, -0.003642328782007098, -0.016683151945471764, 0.059480536729097366, -0.028783461079001427, 0.010495315305888653, -0.02444811910390854, -0.06459680944681168, -0.034520987421274185, -0.06521014124155045, -0.028651727363467216, -0.00240131001919508, 0.09791675209999084, 0.03393810614943504, -0.11461859941482544, 0.04570923373103142, -0.09382005780935287, 0.023104486986994743, -0.12004870176315308, -0.09294884651899338, -0.11523831635713577, -0.040725890547037125, 0.10595870763063431, 0.01619560830295086, -0.06328869611024857, 0.09463641047477722, -0.14613036811351776, 0.1686006635427475, 0.02015562355518341, 0.08080480247735977, 0.06503424793481827, 0.04643187299370766, 0.04240923002362251, -0.14089588820934296, 0.05210058018565178, 0.06557077914476395, -0.09871061891317368, -0.20630748569965363, 0.06267132610082626, -0.020570171996951103, 0.04313775524497032, -0.08636415749788284, -0.11732497811317444, -0.032937780022621155, -0.09599996358156204, -0.01282432209700346, 0.003398689441382885, -0.028353899717330933, -0.03610304743051529, 0.07928384095430374, -0.05412999913096428, 0.06276759505271912, 0.09186709672212601, 0.08638894557952881, 0.01919158361852169, -0.07579809427261353, 0.0243211816996336, 0.07186244428157806, 0.052790567278862, -0.11808109283447266, -0.021565617993474007, -0.010558109730482101, 0.0045998296700417995, -0.17246980965137482, 0.0031077908352017403, 0.10488221049308777]], %u201C**Right**%u201D: [[-0.12322423607110977, -0.09166958183050156, 0.0030119975563138723, 0.07374182343482971, 0.03698710724711418, -0.05573098734021187, -0.04385635256767273, -0.05670739337801933, -0.030628273263573647, 0.0965498685836792, -0.1603952795267105, 0.044863514602184296, -0.09822320193052292, -0.21349085867404938, -0.07051543891429901, 0.004292635712772608, 0.10493224114179611, 0.06687428802251816, 0.01295499037951231, -0.07349883019924164, 0.05057000368833542, 0.020694905892014503, -0.027202999219298363, -0.02207556739449501, -0.0919264480471611, 0.11229139566421509, -0.05143684148788452, 0.027473922818899155, 0.08050292730331421, 0.09868771582841873, 0.11485501378774643, -0.015976151451468468, 0.10177667438983917, -0.11236434429883957, -0.016733890399336815, -0.005377459805458784, -0.10113469511270523, -0.022559013217687607, 0.032608501613140106, -0.05285423621535301, -0.12459512799978256, 0.0313110277056694, -0.13205775618553162, 0.057603076100349426, 0.09496308118104935, 0.10811097919940948, -0.05295582115650177, 0.16086789965629578, -0.14587527513504028, 0.10840559005737305, 0.06493332982063293, 0.0071846661157906055, -0.013227133080363274, -0.00119835848454386, 0.07649098336696625, 0.06774774938821793, 0.01602318324148655, -0.10919184237718582, 0.014698031358420849, -0.12906238436698914, -0.17284737527370453, -0.2420649230480194, -0.05963245779275894, 0.009172102436423302, 0.03936951979994774, 0.006963794119656086, -0.04228965938091278, 0.03055589459836483, -0.0529898963868618, -0.13618960976600647, -0.07230045646429062, -0.09350531548261642, 0.008212929591536522, -0.05667538568377495, 0.09826629608869553, 0.044655390083789825, -0.10776958614587784, 0.04083753749728203, -0.0769808441400528, 0.0015262780943885446, -0.11382219940423965, -0.04048719257116318, -0.1647450029850006, -0.013006428256630898, 0.06237463653087616, -0.018204638734459877, -0.07192468643188477, 0.0846826583147049, -0.15275610983371735, 0.19314837455749512, 0.0426262728869915, 0.12794964015483856, 0.019906241446733475, 0.019699309021234512, -0.034911222755908966, -0.09784211963415146, 0.05271156132221222, 0.027143143117427826, -0.08809338510036469, -0.13904356956481934, 0.0515521876513958, 0.01055392436683178, 0.05781266465783119, -0.10861864686012268, -0.1330457329750061, -0.05695170536637306, -0.09640974551439285, -0.011350560002028942, 0.06401976197957993, -0.04768972471356392, -0.07988857477903366, 0.07721281796693802, -0.04194026067852974, 0.03974579647183418, 0.15303140878677368, 0.05464969202876091, 0.04337718337774277, -0.06133032962679863, 0.030452147126197815, 0.05700261518359184, 0.048203643411397934, -0.12868882715702057, -0.03181086853146553, 0.01268375851213932, 0.02336101047694683, -0.1532122939825058, 0.015040037222206593, 0.1001887172460556]], %u201C**Center**%u201D: [[-0.10967082530260086, -0.06298966705799103, -0.011383222416043282, 0.11461437493562698, 0.03760898485779762, -0.007656498812139034, -0.030709397047758102, -0.10834655165672302, 0.007725639268755913, 0.12123774737119675, -0.14156821370124817, 0.028559843078255653, -0.0785200372338295, -0.22912156581878662, 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-0.05033278092741966, -0.008389569818973541, 0.0652705654501915, -0.030615858733654022, -0.0401158481836319, 0.04068402200937271, -0.06507669389247894, 0.08976959437131882, 0.11061953753232956, 0.06556890904903412, 0.03285010904073715, -0.05539695546030998, 0.027370641008019447, 0.06945658475160599, 0.06850945949554443, -0.10180337727069855, -0.008417774923145771, -0.010144680738449097, -0.023704135790467262, -0.11576569080352783, 0.0737953707575798, 0.09932660311460495]]}}

Using which we can recognise the face and add in the database.

4. Give attendance.

In its application, the camera will be open and faces will be recorded and analysed in real-time and if the present name will be marked as present in the xlxs sheet.

Attendance:

XLXS_Demo

Creating an optimum solution and a better society.
Viola!

## Note: check Testing.txt
Run in following order:

!python main.py
!python Auth.py
!python screen.py

Further more:

• To add new entry: !python Add_New.py
• To verify and give to existing: !python Recog.py
• To check attendance in terminal: !python attendance.py

Tested in Following Versions:

* OS: Ubuntu 19.04
* tensorflow == 1.15.0
* keras == 2.3.0
* tkinter == 8.6
* numpy == 1.16.1
* opencv == 4.1.2 
* python == 3.7.4
* pyttsx3 == 2.71

Additional Highlights:

• As the next day arises, it is automatically stored in a new tab in the xlxs sheet so files aren't overwritten
• Seeing attendance or editing requires a master face print which can be set earlier so students cant change their records.
• Multiple times and multiple faces are taken into consideration
• Future Scope: Setting in and out timing as well so as to create a proxy payroll system as well.