Introduction to FaceMatchX Platform

Key Features

• WhatsApp Attendance: Employees send a selfie to our bot; AI verifies the face + GPS location.

• Walking Attendance: Just walk past a CCTV camera. No stopping. No touching.

• Web & Mobile: Browser-based capture or GPS-tagged mobile app clock-ins.

• Biometric Devices: Seamless sync with traditional face/fingerprint terminals.

Real-World Use Case: The Distributed Workforce

Scenario: A construction firm has office staff, site engineers, and remote consultants. Solution:

• Office Staff: Walk through the lobby (CCTV Walking Attendance).

• Site Engineers: Send a selfie via WhatsApp from the construction site.

• Consultants: Log in via the Web Portal from their home office.

• Result: 100% accurate, consolidated reports in real-time.

Key Features

• Face-to-Open: Your existing CCTV cameras act as access readers.

• IP-Based Control: Manage NFC/RFID smart locks over the network.

• Remote Unlock: Open a door for a guest in Tokyo while you sit in New York.

• Anti-Tailgating: AI analysis to detect unauthorized followers.

Real-World Use Case: 24/7 Server Room Access

Scenario: An IT administrator needs emergency access to a restricted server room at 3:00 AM. Solution: The admin stands in front of the server room camera. The system recognizes their face, verifies they have "Level 5 Clearance," and instantly triggers the magnetic lock to open. A log is created: "Admin John entered Server Room at 03:02 AM."

Key Features

• WhatsApp Pre-Registration: Visitors chat with our bot to upload details and selfies before arriving.

• Digital Passes: Guests receive a QR code or temporary facial recognition access rights.

• Host Approval: Employees receive a notification to approve or reject visits instantly.

• Watchlist Screening: Auto-block blacklisted individuals.

Real-World Use Case: The VIP Client Visit

Scenario: A high-net-worth client is visiting a bank branch for a meeting.

Solution: The client pre-registers via WhatsApp. Upon arrival, the lobby camera recognizes them as a VIP. The barrier opens automatically (no badge needed), and the Branch Manager receives an instant alert: "Mr. Smith has arrived at the main entrance."

Key Features

• Forensic Search: Upload a photo to find exactly when and where a person appeared in your building.

• Live Identification: Real-time flagging of known/unknown individuals.

• Cloud Storage: Securely store critical event clips in the cloud.

• Multi-Camera Tracking: Track a subject across different cameras and floors.

Real-World Use Case: The Security Investigation

Scenario: A bag was reported stolen from the cafeteria between 1:00 PM and 1:30 PM.

Solution: Security operators upload a photo of the suspect (or select "Unknown Person"). The system scans all cafeteria cameras for that time window and generates a video timeline of the suspect's path, revealing exactly where they went after leaving the room.

Key Features

• Multimodal Database: Store Face embeddings and Fingerprint templates under one user profile.

• Presentation Attack Detection (PAD): Advanced anti-spoofing against photos and videos.

• Mask Recognition: High-accuracy matching even when users are wearing face masks.

• Vector Search Engine: High-speed matching for databases with up to 5 million users.

Real-World Use Case: The Manufacturing Plant

Scenario: A factory has a greasy production floor and a sterile R&D lab.

Solution:

• Production Floor: Workers use Face Recognition (touchless) because their hands are dirty.

• R&D Lab: Scientists use Fingerprint Scanners for high-assurance, two-factor entry.

• Result: One employee ID works seamlessly across both biometrics.

Key Features

• Zone Monitoring: Define "Vault Areas" on specific cameras.

• Unauthorized Detection: AI instantly flags faces not in the "Vault Group."

• Active Response: Triggers a physical siren via IoT relay and sends a WhatsApp alert to the CSO.

• Immutable Logs: Audit trails that cannot be deleted or altered.

Real-World Use Case: The Bank Vault Intrusion

Scenario: A janitor (authorized for the lobby, but not the vault) accidentally enters the Vault Zone. Solution: The camera detects the janitor's face. The system checks permissions -> Access Denied. Action:

Siren: A physical alarm rings immediately in the hallway.

Alert: The Security Chief gets a WhatsApp photo of the intruder labeled "Unauthorized Access: Vault 1."