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  2. Sri Lankan rupee - Wikipedia

    en.wikipedia.org/wiki/Sri_Lankan_rupee

    The Sri Lankan Rupee (Sinhala: රුපියල්, Tamil: ரூபாய்; symbol: රු (plural) in English, රු in Sinhala, ௹ in Tamil; ISO code: LKR) is the currency of Sri Lanka. It is subdivided into 100 cents ( Sinhala : සත , Tamil : சதம் ), but cents are rarely seen in circulation due to their low value.

  3. Facial recognition system - Wikipedia

    en.wikipedia.org/wiki/Facial_recognition_system

    Facial recognition systems have been deployed in advanced human–computer interaction, video surveillance, law enforcement, passenger screening, decisions on employment and housing and automatic indexing of images. [4] [5] Facial recognition systems are employed throughout the world today by governments and private companies. [6]

  4. File:USD to Sri Lankan Rupee Exchange Rate.webp - Wikipedia

    en.wikipedia.org/wiki/File:USD_to_Sri_Lankan...

    English: USD / Sri Lankan Rupee exchange rate. Date: 23 June 2023: Source: Own work https: ... Economy of Sri Lanka; Sri Lankan economic crisis (2019–present)

  5. List of companies listed on the Colombo Stock Exchange

    en.wikipedia.org/wiki/List_of_companies_listed...

    Company Name Symbol C M Holdings: CSE: COLO.N0000: C T Holdings: CSE: CTHR.N0000: C T Land Development: CSE: CTLD.N0000: C. W. Mackie: CSE: CWM.N0000: Capital ...

  6. Time and attendance - Wikipedia

    en.wikipedia.org/wiki/Time_and_attendance

    Time and attendance systems (T&A) are used to track and monitor when employees start and stop work. A time and attendance system enables an employer to monitor their employees working hours and late arrivals, early departures, time taken on breaks and absenteeism. [ 1 ]

  7. Biometric device - Wikipedia

    en.wikipedia.org/wiki/Biometric_device

    A simulation of Kenneth Okereafor's biometric liveness detection algorithm using a 3D multi-biometric framework consisting of 15 liveness parameters from facial print, finger print and iris pattern traits resulted in a system efficiency of the 99.2% over a cardinality of 125 distinct randomization combinations.

  8. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    DeepFace is a deep learning facial recognition system created by a research group at Facebook.It identifies human faces in digital images. The program employs a nine-layer neural network with over 120 million connection weights and was trained on four million images uploaded by Facebook users.

  9. Face ID - Wikipedia

    en.wikipedia.org/wiki/Face_ID

    Face ID is a biometric authentication facial recognition system designed and developed by Apple Inc. for the iPhone and iPad Pro.The system can be used for unlocking a device, [1] making payments, accessing sensitive data, providing detailed facial expression tracking for Animoji, as well as six degrees of freedom (6DOF) head-tracking, eye-tracking, and other features.