Falcon Human Recognition System
High-performance, High-capacity
  • Supports up to 500,000 cameras in one system
  • Supports up to 10,000,000 Face / Human Detection Comparison Library
  • Real-time multiple face matching, matching speed low to 2s
  • Up to 98% face recognition accuracy
Deep Analysis
  • Supports deep learning algorithm
  • Supports human attributes analysis
Good Compatibility
  • Supports different types of camera: Kedacom human recognitive camera, Kedacom standard IP camera, Third-party IP camera
Abundant Functions and Features
  • Three types of snapshot: face, head and shoulder, person
  • Supports recognizing and capturing the human side and back picture
  • Supports searching picture by picture or attributes

 

　Falcon Human Recognition System
KProServer3 CPU Server
CPU Server ChassisHigh density server chassis
19" 2U standard blade rack server chassis, able to insert 4 computing nodes, each computing node configuration 6 slot of 3.5 inch / 2.5 inch compatible hard drive slot, a total of 24 hard disk slot can be placed
Include 2 unit of 2150W redundant platinum power supply
Computing NodesComputing Nodes for KProServer3-B01
2 x Intel Xeon Silver 4110 (8 core, 16 thread, up to 3.0GHz, 11MB Cache),
32GB RAM (KProServer3-N100-E01-32G)  / 64GB RAM KProServer3-N100-E01-64G) / 128GB RAM (KProServer3-N100-E02-128G)
1 x 2.4TB SAS, 1x 960GB SSD, 2 x SFP
OS license not included
FunctionsCompares the attributes of each face
Calculates the similarity percentage between faces
Operating Temperature10°C ~ 40°C / 50°F ~ 104°F
Operating Humidity 50% ~ 90%
Power 100 ~ 127V AC, 50 ~ 60Hz / 200 ~ 240V AC, 50 ~ 60Hz
Power ConsumptionMax. 2150W (4 computing nodes included)
Weight38kg / 83.78lb (including 4 x nodes)
Chassis Dimensions733 x 438 x 86.9mm / 28.86’’ x 17.24’’ x 3.42’’
DeepEngine-1000 GPU Server
GPU Server ChassisHigh density server chassis
19" 4U standard blade rack server chassis, able to insert 6 computing nodes
Include 4 unit of 1200W redundant platinum power supply
Computing NodesComputing Nodes for DeepEngine-1000
1 x 64 bit multi-core CPU, 2 x GPU, 32GB RAM
2 x 1000M RJ45, 240GB SSD
OS license not included
FunctionsIdentifies the faces and persons in the video streaming
Grabs the attributes of each face and person
Operating Temperature0°C ~ 40°C / 32°F ~ 104°F
Operating Humidity 50% ~ 90%
Power 100 ~ 127V AC, 50 ~ 60Hz / 200 ~ 240V AC, 50 ~ 60Hz
Power ConsumptionMax. 3000W (6 computing nodes included)
Weight58kg / 127.87lb (including 6 x nodes)
Chassis Dimensions820 x 440 x 177.8mm / 32.28’’ x 17.32’’ x 7’’
System
Supported Operating System Windows10 Professional 64-bit / Windows 10 Enterprise 64-bit
Windows 7 Professional 64-bit / Windows 7 Enterprise 64-bit / Windows 7 Ultimate 64-bit
Windows Server 2008 / Windows Server 2012
DatabaseElastic Search
Application SystemFalcon Human Recognition System
User ManagementAdmin / User
Maximum Number Of Camera / Video Stream AccessUp to 500,000
Face / Human Detection Comparison LibraryUp to 10,000,000
Camera Access TypeKedacom human recognitive camera
Kedacom standard IPC (by Kedacom VMS)
Third-party IPC (by Kedacom VMS and NVR)
RTSP Video Stream (Optional)
StorageFace and human pictures (By IPSAN)
Recognitive Functions
Target DetectionIdentifies the faces and persons in the video streaming
Captured PicturePerson, Face, Full view
Face MatchingReal-time / Post-event
AnalysisAnalyzes attributes of human and face image, grabs the gender, age group, with or without glasses and mask, color of clothes, texture of clothes, direction, speed level
Search ModeDate and time / Camera / Face image / Person image / Attributes (gender, age group, with or without glasses and mask, color of clothes, texture of clothes, direction, speed level)
People CountingBi-directional
Alarm
Alarm TriggersFace matching
Alarm EventsAlarm report / Snapshot / Acoustic alarm
Video
CompressionH.265 / H.264
Live View1080p@30fps
Network
Network ProtocolsTCP/IP, UDP, RTSP, VSIP, 802.1x, IPv4
User InterfaceEPAS Client