Full Analysis Server

  • The full analysis software is an image fusion analysis system that is able to realize the operation and flexible scheduling of multiple algorithms based on algorithm group. It can operate in various computing resource platforms to realize the cluster management and scheduling of computing resource.
  • Flexible Scheduling: Supports flexible scheduling of different intelligent algorithms like facial analysis, video analysis, and human body analysis in accordance with demands.Supports structured data extraction and modeling in accordance with demands.
  • Full Analysis: Adopts unified computing resource management and scheduling. Integrates different computing resources across multiple hardware platforms as one to play their max. effect.
  • Openness: Adopts an open structure to have unified management and scheduling of multiple algorithms to meet demands. Supports data openness to open video or picture data after structuralization via standard interface or protocol. Support development and application by the third party platform.
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Specification

  • Vehicle Analysis
  • Data TypePicture
  • Picture FormatJPG/JPEG, BMP, PNG/TIFF, TIF, and static GIF
  • Vehicle Picture Requirement256 x 256 pixels to 9 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)
  • Vehicle AttributesVehicle model, Vehicle color, license plate number, Vehicle main brand.
  • Analysis Performance of Vehicle Picture Each T4: 28 pieces/second (2 MP ) 28 pieces/second (5 MP ) 28 pieces/second (8 MP )
  • Product Description
  • System VersionCentOS 7.8
  • Device TypeSoftware only
  • Face Analysis
  • Facial Video FormatResolution: 720 P to 8 MP Real-time video stream: H.264, Hikvision H.265
  • Video Frame Rate Requirement12 to 30 frames per second (25 frames per second recommended)
  • Face Picture FormatSupports format of PNG, TIF, BMP, JPEG
  • Face Picture RequirementFace 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)
  • Max. Number of Arming ListsT4: 3 million
  • Face Video Analysis and ComparisonEach T4: 30 channels (2 MP) 12 channels (2 MP to 5 MP) 6 channels (5 MP to 8 MP)
  • Face Picture Analysis and ComparisonEach T4: 170 pieces/second
  • Face AttributeSmile, glasses, mask
  • Video Structuralization
  • Data TypePicture and Video
  • Video FormatH.265;H.264
  • Video Frame Rate Requirement12 to 30 frames per second (25 frames per second recommended)
  • Picture FormatJPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)
  • Human Body Picture RequirementResolution: 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 RequirementResolution: 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
  • Analysis of Human Body and Vehicle VideosEach T4: 25 channels (2 MP) 16 channels (2 MP to 5 MP) 10 channels (5 MP to 8 MP)
  • Analysis of Human Body and Vehicle PicturesEach T4: 38 pieces/second (2 MP ) 33 pieces/second (5 MP ) 28 pieces/second (8 MP )
  • Human Body AttributeTarget direction/size/speed, coat/trousers type/color, hair style, riding, carrying bag, glasses, hat, mask, number of person on bicycle, etc.
  • Vehicle attributeTarget direction/size/speed, license plate number, vehicle color, license plate color, vehicle type, vehicle master brand, driver/front seat safety belt, etc.
  • Product Performance
  • Authorization TypeSoft Encryption
  • Protocol TypeISAPI
  • Hardware Specifications
  • CPU1. Number of T4 cards: n*T4,n<=3 CPU requirements: Intel 6230(20-core, 2.1Ghz )*1 or above 2. Number of T4 cards: n*T4,3=<n<=8 CPU requirements: Intel 6230(20-core, 2.1Ghz )*2 or above
  • Memory1. Number of T4 cards: n*T4,n<=3 Memory requirements: 96G DDR4 2. Number of T4 cards: n*T4,3=<n<=8 Memory requirements: 96GB DDR4+32GB DDR4*(n-3)
  • Hard Disk480G SSD*1
  • Network InterfaceGigE x 2 or above
  • GPU CardNVIDIA ® Tesla ® T4 recommended

Specification

Specification
Vehicle Analysis
  • Data TypePicture
  • Picture FormatJPG/JPEG, BMP, PNG/TIFF, TIF, and static GIF
  • Vehicle Picture Requirement256 x 256 pixels to 9 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)
  • Vehicle AttributesVehicle model, Vehicle color, license plate number, Vehicle main brand.
  • Analysis Performance of Vehicle Picture Each T4: 28 pieces/second (2 MP ) 28 pieces/second (5 MP ) 28 pieces/second (8 MP )
Product Description
  • System VersionCentOS 7.8
  • Device TypeSoftware only
Face Analysis
  • Facial Video FormatResolution: 720 P to 8 MP Real-time video stream: H.264, Hikvision H.265
  • Video Frame Rate Requirement12 to 30 frames per second (25 frames per second recommended)
  • Face Picture FormatSupports format of PNG, TIF, BMP, JPEG
  • Face Picture RequirementFace 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)
  • Max. Number of Arming ListsT4: 3 million
  • Face Video Analysis and ComparisonEach T4: 30 channels (2 MP) 12 channels (2 MP to 5 MP) 6 channels (5 MP to 8 MP)
  • Face Picture Analysis and ComparisonEach T4: 170 pieces/second
  • Face AttributeSmile, glasses, mask
Video Structuralization
  • Data TypePicture and Video
  • Video FormatH.265;H.264
  • Video Frame Rate Requirement12 to 30 frames per second (25 frames per second recommended)
  • Picture FormatJPEG(JPG), TIF, BMP, PNG, partial GIF(static diagram)
  • Human Body Picture RequirementResolution: 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 RequirementResolution: 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
  • Analysis of Human Body and Vehicle VideosEach T4: 25 channels (2 MP) 16 channels (2 MP to 5 MP) 10 channels (5 MP to 8 MP)
  • Analysis of Human Body and Vehicle PicturesEach T4: 38 pieces/second (2 MP ) 33 pieces/second (5 MP ) 28 pieces/second (8 MP )
  • Human Body AttributeTarget direction/size/speed, coat/trousers type/color, hair style, riding, carrying bag, glasses, hat, mask, number of person on bicycle, etc.
  • Vehicle attributeTarget direction/size/speed, license plate number, vehicle color, license plate color, vehicle type, vehicle master brand, driver/front seat safety belt, etc.
Product Performance
  • Authorization TypeSoft Encryption
  • Protocol TypeISAPI
Hardware Specifications
  • CPU1. Number of T4 cards: n*T4,n<=3 CPU requirements: Intel 6230(20-core, 2.1Ghz )*1 or above 2. Number of T4 cards: n*T4,3=<n<=8 CPU requirements: Intel 6230(20-core, 2.1Ghz )*2 or above
  • Memory1. Number of T4 cards: n*T4,n<=3 Memory requirements: 96G DDR4 2. Number of T4 cards: n*T4,3=<n<=8 Memory requirements: 96GB DDR4+32GB DDR4*(n-3)
  • Hard Disk480G SSD*1
  • Network InterfaceGigE x 2 or above
  • GPU CardNVIDIA ® Tesla ® T4 recommended

Resources

Technical documents

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