AI-driven Personnel Management and Access Control System June 7, 2019
Market Analysis 1 2 Technical Solution 3 Case Study 4 Market Scale
Market Requirement Security Convenience Personnel Management Labor Cost Provide higher security identity Smooth verifying procedure. Flexible personnel permission Replace human verification verifying method. Reduce the risk of Better usage experience management, such as employee, by algorithm, decrease labor cost, and increase card misuse, copy, lost, etc. visitor, stranger, banned person, etc. accuracy and efficiency
System’s Goal Safer With advanced AI technology embedded, environment the platform helps to maintain a safe working/living environment. Smart devices coupled with the software AI + personnel management help the user manage daily activities of personnel working/living inside in a new fashion. Upgrading from manual data entry mode Secure data management to automatic, secure, and sharable record storage, the user no longer has to worry about losing data. Transforming old buildings with Smart building transformation advanced devices and infrastructures brings high technological elements to the user.
1 Market Analysis Technical Solution 2 3 Case Study 4 Market Scale
System Overview Facial Recognition • Face-recognition access control • Largest face recognition platform in the world • Financial security level • Rapid, accuracy, non-cooperation capture mode A Visitor Invitation/Guest-welcoming B • Mobile terminal for visitor register • VIP-welcoming • Visitor arrival reminder Employee Attendance Megvii Koala Personnel • Facial recognition attendance C • Attendance statistic Management Platform • Attendance management Smart Surveillance • Banned people recognition D • Stranger recognition • Stranger alarm E System Customization • Provide standard API to upper system • Simplified development process
System Architecture Platform Megvii Koala Personnel Management Platform Layer Guest Application Attendance Stranger Access Control Visitor System Welcoming System Alarming Layer System Network Internet Intranet Layer Face Recognition Face Recognition Face Recognition Access Layer Visitor Terminal Turnstile Pad Camera
Network Topology Electromagnetic Gate Control Intranet Management System Facial Recognition Turnstile IP Camera for Attendance, Welcoming, Stranger and Unwelcomed Guest Recognition Facial Recognition Facial Recognition Facial Recognition Display Module Server Server Server
Application Scenarios Camera Height: 3m Recognition Distance: 12m Lenz: 50mm Government Building Sports Stadium Camera Height: 5m Gym Office Building Recognition Distance: 20m Lenz: 85mm
System Performance Max database capability: 100,000 Recognition speed: <1s FMR: <0.5% Missing recognition in 3 frames: <1% Data-loading accuracy: >99% Quantity of facial processing per frame: 3-5 Support backlight processing
Access Control Personnel management • Centralized and unified information management • Face image, name, department, occupation, and etc. Access control equipment management • Communication & operation status management • Different switching strategies for different devices Traffic records • Display real-time results for all staff members • Store all the entry, exit, and status records • Record search available Authority management • Permissions for different personnel
Access Control Electromagnetics Gate Turnstile M5 PAD M5 PAD
Visitor Management Registration • Visitor registration • Appointment w/ records Verification • Self verification at self-service device • Verify appointment & documents • Grant access permission Temporary Registration • Visitors without appointment • Manual registration • Confirm with visited employee • Verify documents • Grant access permission VIP Welcoming • Customizable welcoming page
Visitor Management Visitor Registration Visitor Recognition
Employee Attendance Data collection and processing • Facial recognition to take attendance • Based on preset work shift • Late arrival/early leave records Parameter setting • Custom national holiday setting Interface • Standard API interface • Syncs with the user's HR system Report statistics and query • Monthly based • Data export available
Smart Surveillance Banned people recognition • Custom watch list • Turn on with a button • Automatic alarm • Large-screen display Stranger recognition • Automatic recognition • Record storage
Quotation Model 1. NUC Server Koala System NUC Server License C2/C3S-123 M5/M5E 1 1 1 1 5 2. H4/H5 Server Koala System H4 Server License C2/C3S-123 M5/M5E 1 1 10 10 50 3. Quotation Provided as per project requirement.
Hardware Spec-Smart Camera Smart Camera Model: C3S-123 Pixel: 2 million ， 1/2.8 ” sensor Mainstream Resolution: 1920*1080, 1280*720, 704*576, 352*288 Sub-stream Resolution ： D1 （ 704 × 576 ） WDR:120DB Min. illumination: 0.0001 Lux(F1.2,AGC ON) Shutter Speed: 1/100000s ～ 1s Facial Recognition: Max. Facial image detection 50/frame ； frame detection up to 25fps
Hardware Spec-C2 Camera HD Camera Model: C2 Pixel: 2 million ， 1/2.8 ” sensor Mainstream Resolution: 25fps(1920*1080), 25fps(1280*720), Sub-stream Resolution ： 25fps(704*576), Video Compress:H.264 Min. illumination: Color 0.001Lux@F1.2 Shutter Speed: 1/10s ～ 1/1000s
Hardware Spec-NUC Server NUC Sever Model: MegBox-B1D-122-1 Process Capability: Support access of 1 C2/C3S-123 camera or 5 M5/M5E PAD CPU: Dual core ， 1.9GHz Memory: DDR3 1600 8G(4G×2) GPU: Integrated GPU Harddisk: 128G SSD Interface: 1000M Ethernet card Dimension: 115 × 111 × 48(mm)
Hardware Spec-H4 Server H4 Sever Model: KSS-DR1000-H4-3 Process Capability: Support access of 10 C2/C3S-123 camera or 50 M5/M5E PAD System: Ubuntu 16.0 CPU: Intel XEON E5-2630 V4*2 Memory: 8G DDR4*8 GPU: Leadtek Stock Edition Geforce GTX 1070 Harddisk: 1T *4 (RAID Card)+120GB SSD Interface: 10M/100M/1000M LAN port x 2 Max power consume ： 800W
Hardware Spec-M5/M5E PAD M5/M5E PAD Model: MegID-W2K/MegID-W2K-E CPU: ARM-A17 4 cores GPU: ARM Mali-T764 RAM 2GB dual DDR3 ROM 16GB eEMMC OS: Android 5.1.1 10/100/1000Mbps ethernet ， RJ45 interface Interface: mini USB, NO,NC,COM, Wiegand 26bit/34bit, POE+Power Supply Max power consume ： 20W Dimension: 248.5X130.5X28.1mm Note: M5 is indoor model, M5E is outdoor model.
Hardware Spec-M5/M5E PAD • Vertical Installation • Wall Mount • Turnstile
1 Market Analysis Technical Solution 2 Case Study 3 4 Market Scale
CapitaLand MEGVII provides an end-to-end solution of personnel management which based on private cloud platform. The system integrates tenant management system, visitor management system, and lift control system to provide comprehensive access management services for more than 20 commercial real estates of CapitaLand.
Aliyun Building In 2015, Alibaba adopted the intelligent building and campus solutions of MEGVII, which enabled the park to achieve intelligence in the whole procedure from visitor invitation, visit registration, face recognition turnstile, floor guidance, and visitor welcoming. The company management, employees, and visitors can enjoy the benefits of intelligent office.
More Scenarios Backlight Quick Pass Low Light Liveness Detection
More Cases Office Building Retail Campus
1 Market Analysis Technical Solution 2 Case Study 3 4 Market Scale
Market Scale – 2018 Sales data Direct Accounts Channel Customer Type Quantity Commercial Properties 1947 Customer Type Quantity Education 730 Commercial Properties 1338 Industrial Park 670 Government Complex 662 Offices 561 Education 13 Governmental Complex 420 Retail/Business/Financing 128 Offices 12 Scenic spot 50 Commercial Properties 1% 0% 3% 1% Education Commercial 9% Properties 33% Industrial Park 43% 13% Government Complex Offices 15% 66% Education 16% Governmental Complex Offices Retail/Business/Finan cing Scenic spot Conclusion: Commercial properties is fundamental ， Education& Complex are increasing.
Market Scale – 2019 Sales forecast Commercial Sales Amount Properties 8000 Education 6500 Governme ntal Complex Industrial 5500 Complex 4000 Offices Others 2000 Competition Conclusion: Commercial Properties grow linearly, Education& Complex are blooming.
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