Network Function – HTTP, HTTPS, TCP/IP, IPv4/IPv6, UPnP, SNMP, RTSP, UDP, SMTP, NTP, DHCP, DNS, IP Filter, PPPoE, DDNS, FTP, Alarm Server, IP Search (Support Dahua IP camera, DVR, NVS, etc.), P2P
Max. User Access – 128 users
Mobile App – iPhone, iPad, Android
Interoperability – ONVIF 2.4, SDK, CGI
Internal HDD – 4 SATA III ports, up to 10 TB for a single HDD. The maximum HDD capacity varies with environment temperature
eSATA – 1 eSATA
USB – 3 USB Ports (2 Rear USB 3.0, 1 Front USB 2.0)
RS232 – 1 Port, for PC Communication and Keyboard
RS485 – 1 Port, for PTZ Control
Power Supply – Single, AC100V–240V, 50–60 Hz
Power Consumption – NVR: <21.1W (Without HDD) ; PoE: Max 25.5W for single port 150W total rated power, 80% control for protection
Fan – Smart fan, automatically adjust running speed
Operating Conditions – -10°C to +55°C (+14°F to +131°F), 86–106kpa
Storage Conditions – 0°C to +40°C (+32°F to +104°F), 30–85% RH
Dimensions – 1.5U, 440.0 mm × 411.1 mm × 76.0 mm (17.32″ × 16.19″ × 2.99″)
Net Weight – 5.00 kg (11.0 lb) (without HDD)
Gross Weight – 7.05 kg (15.5 lb) (without HDD)
CE – EN55032, EN55024, EN50130-4, EN60950-1
FCC – Part 15 Subpart B, ANSI C63.4-2014
UL – UL 60950-1
Type – 32 Channel WizMind NVR
Description – 32 Channel 1.5U 16PoE WizMind Network Video Recorder
Dahua new NVR5000-I network video recorder delivers excellent performance and high recording quality that is ideally suitable for IP video surveillance applications. This NVR adopts powerful processor, providing the capability of 4K resolution processing for applications where image details are highly required. Additionally, the NVR can be served as edge storage, central storage or backup storage with an intuitive shortcut operation menu for remote management and control.
With build-in deep learning module, NVR5000-I series products adopt video image structuring technology based on deep learning algorithms, achieving high-precision human face recognition and perimeter protection. By applying deep learning artificial intelligence, NVR5000-I allows users to focus on what matters most, improves event response time and helps make video actionable.
The NVR is compatible with numerous third-party devices, which make it the perfect solution for surveillance systems that work independently of video management system (VMS).
Automatically filtering out false alarms caused by animals, rustling leaves, bright lights, etc. Enables system to act secondary recognition for the targets. Improving alarm accuracy.
Dahua Face Recognition technology extracts the features of captured faces and compares them with that in face database to recognize the person identity.
With intelligent algorithm, Dahua Smart Motion Detection technology can categorize the targets that trigger motion detection and filter the motion detection alarm triggered by non-concerned targets to realize effective and accurate alarm.
With deep learning algorithm, Dahua Video Metadata technology can detect, track, capture vehicle, non-motor vehicle and people, and select the best images, and extract attributes.
ANPR by Camera
With deep learning algorithm, Dahua ANPR technology can recognize the number plate information of vehicles in the image with ANPR cameras. Support block/allowlist mode, searching target vehicles from recorded video.
Fisheye dewarping solves the problem of distortion in the circular panoramic view. The device offers various dewarping modes for different installations and configurations that enhance the video, in both live or playback modes. Each dewarping mode offers options to adjust each scene.
People Counting by Camera
With deep learning algorithm, Dahua People Counting technology can track and process moving human body targets to realize the accurate statistics of enter No., leave No., and In Area No. Working with management platform, it outputs yearly/monthly/weekly/daily reports to meet your requirements.
Stereo Analysis by Camera
With deep learning algorithm and scene 3-dimensional information, Dahua Stereo Analysis technology can recognize people’s behaviors, such as fall detection, violence detection, strand detection, and space exception, and then generates alarm signals and triggers linkage.