AI Deep Learning NVR Facial Recognition

Turn 32 Channels of Video into Actionable Intelligence — Instant Face Search, Real-Time Alerts, Forensic Recall.

Traditional NVRs record everything and analyse nothing. The SSAL AI Deep Learning NVR transforms passive recording into proactive intelligence: a 50,000-face recognition database flags known persons of interest in real time; smart search by clothing colour, gender, or accessory finds a specific individual across 32 channels of footage in seconds; and continuous heatmapping reveals footfall patterns that inform both security and business decisions.

Deployed by SSAL across banking, retail, government, and hospitality facilities in Bangladesh, this NVR platform forms the analytical core of high-security command centres where rapid, accurate person identification is operationally critical.

Key Features

50,000-Face Recognition Database: Enrol persons of interest, VIP guests, blocked individuals, or employee ID-linked profiles; real-time alerting when a recognised face appears on any connected camera
Smart Search by Attributes: Find any person across all channels and any time period by specifying gender, clothing colour, clothing type, bag presence, and other AI-detected attributes — returns results in under 10 seconds from days of footage
Person & Vehicle Re-Identification: Track the movement of a specific individual or vehicle across multiple cameras using AI feature matching — even without a face match
Perimeter Analytics: Deep learning-based intrusion detection, tripwire, and region entrance/exit with person/vehicle/animal classification on all 32 channels simultaneously
Heat Map & Footfall Analytics: Visualise high-traffic zones within any camera view over configurable time periods — valuable for retail floor optimisation, queue management, and security resource planning
People Counting: Accurate bi-directional counting at entry points; generates occupancy reports exportable to BMS and reporting dashboards
RAID 0/1/5/6/10 Storage: Four SATA bays supporting up to 8TB each (32TB raw); RAID configurations provide varying levels of data redundancy — RAID 6 tolerates simultaneous dual-drive failure without data loss
32-Channel H.265+ Recording: Records all 32 channels simultaneously at full resolution with AI analytics running concurrently — no reduction in recording quality during analytics processing
Role-Based Access Control: Multi-tier user accounts with granular permissions — investigators access only designated cameras and time windows; prevents unauthorised access to sensitive footage
Open API Integration: REST API enables integration with access control platforms, HR systems, and third-party analytics dashboards — relevant for PDPO 2025 compliant data architectures
4K HDMI Output: Dual HDMI outputs for main display and secondary operator workstation; supports 64-split live view across all channels

Technical Specifications

Parameter	Specification
Video Input Channels	32 IP cameras (via network)
Max Camera Resolution	8MP (4K) per channel
Total Recording Bandwidth	320 Mbps incoming
Video Compression	H.265+ / H.265 / H.264+ / H.264 / MJPEG
AI Processing Unit	Dedicated deep learning SoC / GPU module
Face Recognition Database	50,000 face profiles
Face Match Speed	<500ms per frame
Face Comparison Accuracy	≥98% (tested at frontal angle ±30°, illumination ≥100 lux)
Smart Search Attributes	Gender, top/bottom clothing colour, clothing type, bag, hat, mask
HDMI Outputs	2× HDMI 2.0 (4K @ 30Hz)
VGA Output	1× VGA
SATA Bays	4× SATA III
Max Storage per Bay	8TB HDD
Total Raw Storage	Up to 32TB
RAID Modes	RAID 0, 1, 5, 6, 10
Analytics Functions	Face recognition, smart search, re-ID, perimeter intrusion, tripwire, loitering, heat map, people counting
Network Ports	2× Gigabit RJ-45 (link aggregation or dual NIC)
USB Ports	3× USB 3.0
Alarm Inputs	16×
Alarm Outputs	4× relay
Operating Temperature	0°C to +55°C
Power Supply	Redundant dual PSU, 100–240VAC
Form Factor	2U rack mount
Dimensions (W×D×H)	445mm × 450mm × 89mm (approx.)
Weight (approx.)	8.5kg (without HDDs)
Certifications	CE, FCC, UL, RoHS

Typical Applications

Banking & Financial Institutions: Watchlist matching against Bangladesh Bank fraud databases; real-time alerting when blacklisted individuals approach teller counters or ATMs
Government & Judiciary Compound: Controlled visitor identification at main gate; real-time face match against court order watchlists or warrant databases
Retail Shopping Mall: Repeat shoplifter identification; VIP customer recognition for premium service triggers; footfall heatmap for tenant merchandising decisions
Hospital Patient Area: Identifies non-family individuals in restricted wards; tracks unauthorised access to pharmacy or records rooms by person re-identification
Hotel & Hospitality: VIP guest recognition at main entrance enables personalised service response; unwanted guest watchlist prevents re-entry of banned individuals
Corporate Headquarters: Employee movement analytics; tailgating detection at high-security access points; HR-linked time and attendance integration via face recognition

Compatibility & Integration

The AI Deep Learning NVR integrates with Hikvision iVMS-4200, Dahua DSS/PSS, and third-party VMS platforms via ONVIF Profile S/G/T. The REST API supports custom integration with access control management systems (ZKTeco BioAccess, Gallagher Command Centre) and HR platforms. Face database management is performed through the NVR web interface or dedicated client software — supporting CSV bulk import of employee face profiles linked to existing HR records.

SSAL implements role-based access controls and audit logging on all face recognition deployments to assist clients in meeting PDPO 2025 biometric data processing obligations.

SSAL Supply & Support

Smart Safety & Automations Ltd. designs, supplies, and commissions AI NVR deployments as the central intelligence layer of enterprise security systems. SSAL's deployment service includes face database initial enrolment, analytics configuration and testing, integration with access control and alarm systems, and security operator training on smart search and face recognition workflows. Annual Maintenance Contracts include AI model updates, database integrity checks, and storage health monitoring.

Request a Quote

Transform your surveillance system into an intelligence platform. Contact SSAL today.

Web: www.smartsafety.com.bd
Email: info@smartsafety.com.bd
Phone: +880-XXXX-XXXXXX
Request a Quote: www.smartsafety.com.bd/quote

AI Deep Learning NVR with Smart Search & Facial Recognition

Product Summary