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Home > CCTV > CCTV Recorders > Dahua CCTV > Dahua IP NVR > Dahua IP NVR 4Ch
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Catalogue No: NVR2104-P-I-NO-HDDBrand: DahuaWarranty: 3 YearsResolution: 12M/8M/5M/4M/3M/2M/720p/D1SATA HDD: 1 BayCompression: H.265+/H.264+Record Rates: 80Mbps 7fps @ 8MP 30fps @ 1080PRecording Formats: 8MPMax Cameras: 4 PoE
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Launched by Dahua Technology, WizSense is a series of AI products and solutions that adopt independent AI chip and deep learning algorithm. It focuses on human and vehicle with high accuracy, enabling users to fast act on defined targets. Based on Dahua's advanced technologies, WizSense provides intelligent, simple and inclusive products and solutions.
This AI network video recorder is a highly cost-effective economical product, providing functions such as local live view, multi-screen display, real-time storage on local HDD, fast operation by mouse, and remote management and control. This product is suitable for face detection and recognition at entrances/exits, and perimeter protection of people and vehicles.
Local and web interfaces adopt the new UI 4.0 style which caters to users habits. Functional modules are divided more clearly and easier to understand.
Dahua smart encoding (H.265+/ H.264+) is the optimized implementation of (H.265/H.264) codec that uses a scene-adaptive code rate control algorithm, providing more efficiency in the encoding process and higher video quality, and reducing the cost of storage and transmission significantly. This NVR supports the corresponding decoding.
SMD Plus, referred to as Smart Motion Detection Plus, which is an upgrading version of SMD that greatly improves the alarm accuracy by loading deep-learning algorithm. It analyses person and vehicle shapes based on motion detection and sends alarms only when person or vehicle intrudes.
Face detection is to detect if there is any human face appearing in the video. This technology adopts a deep learning algorithm to support face detection, tracking, optimization and capturing, and then output the best face snapshot.
Face recognition is to figure out the captured face with target features, and compare them with the face database to identify the personnel.
Based on the deep learning algorithm, perimeter protection provides accurate human and vehicle classification detection. It greatly reduces false alarms by smartly detecting behaviours such as tripwire and intrusion according to the detected object in restricted areas (e.g., for human or vehicle) .
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