Project Description
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 Chassis | High 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 Nodes | Computing 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 |
| Functions | Compares the attributes of each face Calculates the similarity percentage between faces |
| Operating Temperature | 10°C ~ 40°C / 50°F ~ 104°F |
| Operating Humidity | 50% ~ 90% |
| Power | 100 ~ 127V AC, 50 ~ 60Hz / 200 ~ 240V AC, 50 ~ 60Hz |
| Power Consumption | Max. 2150W (4 computing nodes included) |
| Weight | 38kg / 83.78lb (including 4 x nodes) |
| Chassis Dimensions | 733 x 438 x 86.9mm / 28.86’’ x 17.24’’ x 3.42’’ |
| DeepEngine-1000 GPU Server | |
| GPU Server Chassis | High 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 Nodes | Computing 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 |
| Functions | Identifies the faces and persons in the video streaming Grabs the attributes of each face and person |
| Operating Temperature | 0°C ~ 40°C / 32°F ~ 104°F |
| Operating Humidity | 50% ~ 90% |
| Power | 100 ~ 127V AC, 50 ~ 60Hz / 200 ~ 240V AC, 50 ~ 60Hz |
| Power Consumption | Max. 3000W (6 computing nodes included) |
| Weight | 58kg / 127.87lb (including 6 x nodes) |
| Chassis Dimensions | 820 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 |
| Database | Elastic Search |
| Application System | Falcon Human Recognition System |
| User Management | Admin / User |
| Maximum Number Of Camera / Video Stream Access | Up to 500,000 |
| Face / Human Detection Comparison Library | Up to 10,000,000 |
| Camera Access Type | Kedacom human recognitive camera Kedacom standard IPC (by Kedacom VMS) Third-party IPC (by Kedacom VMS and NVR) RTSP Video Stream (Optional) |
| Storage | Face and human pictures (By IPSAN) |
| Recognitive Functions | |
| Target Detection | Identifies the faces and persons in the video streaming |
| Captured Picture | Person, Face, Full view |
| Face Matching | Real-time / Post-event |
| Analysis | Analyzes 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 Mode | Date 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 Counting | Bi-directional |
| Alarm | |
| Alarm Triggers | Face matching |
| Alarm Events | Alarm report / Snapshot / Acoustic alarm |
| Video | |
| Compression | H.265 / H.264 |
| Live View | 1080p@30fps |
| Network | |
| Network Protocols | TCP/IP, UDP, RTSP, VSIP, 802.1x, IPv4 |
| User Interface | EPAS Client |
