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Ministry Of Housing And Urban Affairs

  • Opening Date

    07 Oct 2019

  • Closing Date

    17 Oct 2019

  • Tender Amount

    Refer document

  • EMD


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Face Recognition Biometric Attendance System

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Bid Number: GEM/2019/B/380055 Dated: 07-10-2019 Bid Document Bid Details Bid End Date/Time 17-10-2019 14:00:00 Bid Life Cycle (From Publish Date) 90 (Days) Bid Offer Validity (From End Date) 30 (Days) Ministry/State Name Ministry Of Housing & Urban Affairs (mohua) Department Name Maharashtra Metro Rail Corporation Limited Organisation Name Pune Metro Rail Project Office Name Pune Metro Rail Project Total Quantity 6 Item Category Face Recognition Biometric Attendance System ( PAC Only ) MSE Exemption For Years Of Experience And Turnover No Startup Exemption For Years Of Experience And Turnover No Document required from seller OEM Authorization Certificate Bid to RA enabled No Face Recognition Biometric Attendance System ( 6 pieces ) ( Under PAC ) Make essl Model esslsilkbio-101tc Technical Specifications * As per GeM Category Specification Specification Specification Name Values Bid Requirement (Allowed Values) Type Face Recognition Technology Standalone Device Standalone Device Type of Face Recognition Biometric Attendance System Embedded Linux Based Embedded Linux Based 1 / 5 Face Storage Capacity 3000 3000 Fingerprint Scanning Feature Yes * If Yes, Fingerprint Storage Capacity 5000 5000, 10000, 15000, 20000 Or higher Maximum Attendance Log 300000 * Management Log 10000 * HARDWARE SPECIFICATION Screen Size (Minimum) 3.5 * Screen Type Non Touch * Screen Resolution 800 x 600 800 x 600 Or higher Processor Speed (GHz) 1 1 RAM 64 64, 128, 256 Or higher Storage 512 512, 1024, 2048 Or higher Micro SD Card Support No * If Yes, Storage Expandibility (through Micro SD Card) 4 * Number of USB Ports 0 * Number of Micro USB Ports 0 * Front Camera (Megapixel) 0.3 * Power over Ethernet (PoE) Yes (IEEE 802.11 af) * Network Connectivity LAN * Audio Output Voice Interface No * Biometric Attendance System Specification Identify Mode Face and Fingerprint Both Face and Fingerprint Both Or higher Display Language English * Communication TCP/IP * Encryption (AES) 128 * Liveness Detection Method Motion Based * Identification Time (Maximum) 2 * Matching Modes 1:N * Enrolment Time 1 1, 2 Or higher 2 / 5 False Acceptance Rate (FAR) ≤ 0.01% * False Rejection Rate (FRR) ≤ 1% * Minimum Face Size for Detection (Pixel) 40 x 40 * Minimum Face Size for Recognition 100 x 100 * Registration Face Template Size (KB) 10 * Recognition Face Template Size (KB 10 * Partial Facial Occlusion Recognition No * Beards and Hairstyles Recognition No * Sunglasses Recognition No * Irregular Lighting Recognition No * STQC Certified Finger print Scanner No * If Yes, STQC Certificate number for Fingerprint Scanner NA * If Yes, STQC Certificate Date & Validity for Fingerprint Scanner NA * Fool Proof System based on novel liveness detection algorithms to avoid impersonation/fraud Yes * Application Supported on Device bundled with Face Recognition Software Yes * Device Operating System Linux * Casing Case with Locking Facility Yes * Device Casing Material Polycarbonate * Ingress Protection Rating (IP) 0 * Drop Test Compliance for Casing from a height of 1 meters No * 3 / 5 MISCELLANEOUS RoHS Compliance No * BIS Registration under CRS of Meity No * If Yes, BIS Registratin number, date and its validity NA * Other Certifications available UL,CE,FCC * Minimum Operating Temperature -10 * Maximum Operating Temperature 35 * Minimum Storage Temperature 0 * Maximum Storage Temperature 35 * Minimum Operating Humidity (RH) (%) 5 * Maximum Operating Humidity (RH) (%) 5 * Power Source Battery Battery Battery Required No * If Yes Battery Capacity (mAH) 600 * If Yes, Indicative Battery Backup Time 1 * Dimensions (mm x mm x mm) 180 x 154 x 34.2 * Weight 1 * Type Test Certificate Covering all parameters and Environmental tests from STQC certified lab No * If Yes, TTC number and Date NA * If Yes, Name of the Lab NA * If Yes, Address of the Lab NA * OTHER OPTIONS Availability of Mobile

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