| System | Age: Child, adult, senior citizen Backpack: Yes, no |
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| Main processor | 2 Intel Xeon Silver 4114T Umbrella: Yes, no Handbag: Yes, no |
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| 操作系統 | CentOS Linux release 7.4.1708 (Core) Top color: Black, white, gray, red, green, blue, yellow, orange, purple, pink and brown. 11 colors 1 Dahua DH-AIX3000 self-researched standard half- in total. |
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| Intelligent card | height intelligent card Bottom color: Black, white, gray, red, green, blue, Pedestrians yellow, orange, purple, pink and brown. 11 colors |
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| Memory | 8 16GB DDR4 memory, maximum 24 slots. in total. Top style: Short sleeves, long sleeves 4 3.5” 4T disks which can be extended to maximum Bottom style: Shorts, pants |
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| Disk | 32T (each disk is 4T), and maximum 8 slots. Gender: Male, female 7.2K RPM SATA 6Gbps 512n 3.5” Hat: No hat, hat, helmet Hair style: Short hair, long hair, ponytail, updo, head |
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| Structuring Intelligent Analysis | covered. Classify targets, including humans, motor vehicles and non-motor vehicles. Make intelligent structured Age: Child, adult, senior citizen analysis on the live video, historical video Backpack: Yes, no Target classification (supported by platform) and the offline uploaded Umbrella: Yes, no video files, and then abstract structured information Handbag: Yes, no |
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| about the moving targets | Top color: Black, white, gray, red, green, blue, yellow, orange, purple, pink and brown. 11 colors Detect vehicles by vehicle type, color, brand, in total. model, year, plate number, and plate type. Detect Non-motorized vehicles |
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| Motor vehicle detection | Top style: Short sleeves, long sleeves sunshield, safety belt, phone call and inside Gender: Male, female decorations (pendant and tissue box). Hat: No hat, hat, helmet Detect non-motor vehicles by driver's gender, age, Hair style: Short hair, long hair, ponytail, updo, head hair style, wearing (hat), belongings (umbrella, covered. |
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| Non-motor vehicle detection | Non-motor vehicle type: Two-wheeled vehicle, backpack and handbag), top clothes, top color, and |
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| non-motor vehicle type. | tricycle Detect pedestrians by gender, age, hair style, wearing (hat), belongings (umbrella, backpack and Vehicle color: Gray, black, white, silver gray, blue, |
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| Pedestrian detection | green, purple, red, orange, pink, brown and yellow. handbag), top clothes, top color, bottom clothes, |
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| and bottom color. | 12 colors in total. At least 86 logos and brands in the front can be |
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| Region detection | Support detection area and exclusion area settings. recognized. At least 55 logos and brands in the rear can be recognized. Display the analysis results in real time, and display Vehicle type: Passenger vehicle, heavy truck, |
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| Real-time display | humans, motor vehicles and non-motor vehicles in Motor vehicles medium truck, car, van, light truck, medium bus, |
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| real time with tracking boxes. | SUV, MPV, bus, pickup and minicar Attributes inside the window: Pendant, tissue box, Support intelligent search of humans, motor sunshield, telephone call, and safety belt. |
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| Search by attribute | vehicles and non-motor vehicles according to their Number plate color: Blue, yellow, white, green and |
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| attributes. | black. Recognize the number plates of 47 countries in the Select one picture manually, filter by time and world. channel, compare with historical data, thus find |
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| Search by picture | the qualified humans, motor vehicles and non- motor vehicles, and arrange them according to the Structuring Analysis Performance similarity. Each intelligent card can analyze moving targets in Compare 1V1 target quickly, and return target Structuring analysis |
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| Target comparison | 20-channel 1080p live video or 40 pictures/second. |
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| similarity in two pictures. | performance One device supports maximum 6 intelligent cards. Make intelligent structured analysis on the historical video (supported by platform), and then abstract Compare 10 million pictures in the passenger |
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| Video recording task | structured information about the moving targets. database quickly. During hot search, operator time And then, search the analysis results by pictures and Search by picture performance is 4 million pictures/second, and total search time is |
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| Local task | information about the moving targets. And least 10 exclusion regions in one detection region. then, search the analysis results by pictures and |
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| Deploy attributes | Platforms no blocking: Detection rate of pedestrians: ≥95%; |
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| Structuring picture storage | Local storage or external cloud storage. Moving target detection rate Detection rate of non-motor vehicles: ≥95%; With normal light in the day and normal fill light at |
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| Display tracks on the map | Platforms night, resolution ≥120 × 120, clear, distinguishable and no blocking: Support cluster and management of 2-XX structured Detection rate of motor vehicles: ≥95%. Computing node cluster analysis servers. www.dahuasecurity.com With normal light in the day and normal fill light at night, resolution ≥80×160, clear and distinguishable Ordering Information pedestrians: |
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| 類型 | Part Number Description |
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| Recognition accuracy of | Gender accuracy: ≥90%; |
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| pedestrians | Hair style accuracy: ≥85%; DHI-IVS-VS8000-A-GU2 Dahua 2U Structured Analysis Server Clothes style and color accuracy: ≥85%; |
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| Wearing accuracy: ≥80%; | DHI-IVS-VS8000-2A-GU2 Dahua 2U Structured Analysis Server Belongings accuracy: ≥80%. |
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| DHI-IVS-VS8000-3A-GU2 | Dahua 2U Structured Analysis Server With normal light in the day and normal fill light at Structured night, resolution ≥80×160, clear and distinguishable Analysis Server |
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| DHI-IVS-VS8000-4A-GU2 | Dahua 2U Structured Analysis Server non-motor vehicles: |
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| Gender accuracy: ≥90%; | DHI-IVS-VS8000-5A-GU2 Dahua 2U Structured Analysis Server Recognition accuracy of non- Hair style accuracy: ≥90%; |
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| motor vehicles | Clothes style and color accuracy: ≥90%; DHI-IVS-VS8000-6A-GU2 Dahua 2U Structured Analysis Server Wearing accuracy: ≥80%; Belongings accuracy: ≥70%; Non-motor vehicle type accuracy: ≥90%. With normal light in the day and normal fill light at night, resolution ≥240×240, clear, distinguishable, Dimensions (mm[inch]) no blocking motor vehicles whose inclined angle is no more than 25°: Motor vehicle t |
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| Recognition accuracy of motor | Motor vehicle brand accuracy: ≥85%; |
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| vehicles | Driver and passengers’ safety belt accuracy: ≥95%; Driver and passengers’ phone call accuracy: ≥90%; With normal light in the day and normal fill light at night, resolution width ≥120, clear, distinguishable number plate: Number plate accuracy: ≥96%; Number plate color accuracy: ≥90%. Port |
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| Network port | Two 10000/1000Mb self-adaptive network ports |
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| USB port | 2 front USB3.0 ports and 3 rear USB3.0 ports |
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| VGA port | 2 VGA ports |
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| Other ports | 1 RJ-45 management network port 1 2 3 4 5 6 7 8 General parameter 1 Power Input1 5 VGA Port |
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| Power supply mode | 100–127V/200–240V, 50/60Hz, 10A/5A 2 Power Input2 6 Serial Port 3 LAN Port1 7 3*USB3.0 Port |
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| Power redundancy | Dual power redundancy 4 LAN Port2 8 Management Port |
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| 功耗 | ≤ 800W Panels |
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| 工作溫度 | 10°C to 35°C (50°F to 95°F) 5 35%–80% RH, maximum relative humidity during |
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| 工作濕度 | 1 2 6 |
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| operation is 90% RH (40°C). | 3 7 |
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| 儲存溫度 | -40°C to 60°C (-40°F to 140°F) |
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| Storage humidity | 20%–93%RH 1 Power Button 5 HDD/System Status/LAN1/LAN2 LED 2 ID Button 6 VGA Port 3 Reset Button 7 USB3.0 Port |
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| 毛重 | 35 kg (77.2 lb) 4 USB3.0 Port |
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| 淨重 | 27.5 kg (60.6 lb) 87.00 mm × 447.60 mm × 735.60 mm Dimensions (3.43'' × 17.62'' × 28.96'') 273.00 mm × 754.00 mm × 1069.00 mm Package dimensions (10.75'' × 29.68'' × 42.09'') |
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| Mounting | Standard 19'' rack installation with guide rail. 1 2 3 4 5 6 7 8 1 Power Input1 5 VGA Port 2 Power Input2 6 Serial Port 3 LAN Port1 7 3*USB3.0 Port 4 LAN Port2 8 Management Port |
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| Rev 001.001 | © 2020 Dahua. All rights reserved. Design and specifications are subject to change without notice. Pictures in the document are for reference only, and the actual product shall prevail. 1 6 |
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| www.dahuasecurity.com 4 | 7 |
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