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Integrates analysis, storage and application as one, and applicable to various scenarios. Concurrent analysis of Max. 40 channels of 1080P network cameras for a single device. Face picture analysis and processing of Max. 128 pieces per second for a single device. Provides Max. 40 million pieces of pictures and data storage for a single device. Performs various functions, including list alarm, personnel archive, personnel trace analysis, search by human body picture, and vehicle arming, etc. via web application interface. Equipped with professional GPU accelerator and integrates deep learning-based intelligent algorithms. Supports cluster deployment to deal with balanced load, dynamic adding and failover. Supports adding Max. 5 devices under cluster mode.
| Analysis Type | Supports analysis, comparison and classification of faces in pictures, real-time videos or recordings. |
|---|---|
| Facial Video Format | Resolution: 720 P to 8 MP Real-time video stream: H.264, Hikvision H.265 Local recording: H.264, Hikvision H.265 |
| Video Frame Rate Requirement | 12 to 30 frames per second (25 frames per second recommended) |
| Face Picture Format | JPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram) |
| Face Picture Requirement | Face analysis target: Resolution: 48 × 48 to 8000 × 8000 (64 MP) Size: ≤ 8 MB Pupil distance: 20 to 300 pixels recommended Face angle deviation: Face analysis: ≤ 35° (vertical); ≤55° (horizontal) Face picture of list library: ≤ 25° (vertical); ≤30° (horizontal) |
| Face Attribute | Gender, age, expression, smile, as well as behaviors of wearing a mask, or glasses |
| Face Video Analysis and Comparison | 40 channels (2 MP) 24 channels (2 MP to 5 MP) 16 channels (5 MP to 8 MP) |
| Face Picture Analysis and Comparison | 128 pieces/second Format: JPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram) |
| Max. Number of Arming Lists | 3 million |
| Max. Number of List Libraries | 128 |
| Data Type | Picture, video |
| Concurrent Performance-1 V 1 Comparison | 30 pairs per second |
| Blocklist Alarm-Response Time | 1 s |
| Analysis Type | Supports analysis and modelling for human bodies or vehicles in pictures, real-time videos or recordings. |
| Data Type | Picture, video |
| Analysis of Human Body and Vehicle Videos | 40 channels (2 MP) 24 channels (2 MP to 5 MP) 16 channels (5 MP to 8 MP) |
| Video Format | Resolution: 720 P to 8 MP Real-time video stream: H.264, Hikvision H.265 |
| Analysis of Human Body and Vehicle Pictures | 80 pieces per second |
| Video Frame Rate Requirement | 12 to 30 frames per second (25 frames per second recommended) |
| Imported Video Analysis | Single video size ≤ 10 GB, and total video size ≤ 100 GB Max. 40 times accelerated analysis speed Format: TS, DaHua es, SVAC, MBF, PS, MP4, AVI, ASF, HIK es, Tian Di es |
| Picture Format | JPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram) |
| Human Body Picture Requirement | Resolution: 256 × 256 to 8000 × 8000 (64 MP) Human body width: 70 to 300 pixels recommended Completeness: the blocking area should be less than 30 percent of the target Angle deviation: the depression angle should be no greater than 45° |
| Vehicle Picture Requirement | Resolution: 256 × 256 to 8000 × 8000 (64 MP) Vehicle width: 100 to 300 pixels recommended License plate width: 80 to 120 pixels recommended Angle deviation: less than 30°(horizontal) and 25°(vertical), modelling for both the front and rear |
| Human Body Attribute | Gender, age, hair style, clothes type, clothes color, as well as the following behaviors: wearing a hat, a mask, or glasses; carrying a bag or luggage; driving a non-motor vehicle (the number of passengers, vehicle type, vehicle size, driving direction, driving speed) |
| Vehicle Attribute | Vehicle color, vehicle type, vehicle main brand, license plate number |
| Picture and Structured Data | 10 million (Hot data) + 30 million (Cold data) |
| Search by Face Picture-Response Time | 2 s |
| Search by Human Body Picture-Response Time | 2 s |
| Search by Vehicle Picture-Response Time | 2 s |
| Algorithm Type | Faces, human bodies or vehicles |
| Cluster Capacity | ≤ 5 |
| Alarm | Blocklist, allowlist, high frequency, low frequency, and license plate |
| 1V1 Comparison | Supports rapid and accurate comparison of 2 face pictures |
| Smart Search | List library search, capture library search, alarming search |
| Number of License Plate Arming Lists | ≤ 1000 |
| Personnel Archive | Support |
| Device Operation and Maintenance | Support |
| Memory | 80 GB |
| CPU | Intel Xeon Gold 4216 × 1 |
| GPU Card | KT2 card ×1 |
| Rated Power Consumption | 750 W |
| Max. Power Consumption | 445 W |
| Network Interface | Gigabit Ethernet self-adaptive interface × 4 |
| External Interfaces | USB 2.0 × 2 + USB 3.0 × 2 + VGA × 2 |
| Chassis Height | 87 mm (3.4 inch) |
| HDD Specification | 240 GB M.2 × 2(RAID1) + 480 GB SSD × 3 + 12 TB SATA × 3 |
| PSU | Hot-plugged efficient 1+1 redundant power module |
| Device Dimensions | 715.5 mm × 482 mm × 86.8 mm (28.2 inch × 19.0 inch × 3.4 inch) |
| Package Dimensions | 965 mm × 670 mm × 320 mm (38.0 inch × 29.4 inch × 12.6 inch) |
| Storage and Transportation Temperature | -40 °C to 70 °C (-40 °F to 158 °F) |
| Net Weight (without package) | 20.20 kg (44.53 lb.) |
| Gross Weight (with package) | 32.00 kg (70.56 lb.) |
| Working Temperature | 5 °C to 35 °C (41 °F to 95 °F) |
| Working Humidity | 8% to 90% (without condensation) |
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