BioServer Pro 2 servers can be deployed flexibly, either on a single machine or in parallel to form a cluster with powerful performance and flexibility. The system is based on the full pipeline deep-learning algorithm and adopts the distributed architecture of heterogeneous parallel computing with GPU as the core.
BioServer Pro 2 facial recognition server mainly provides face detection, feature extraction and face matching retrieval functions, either on photo image under static mode or real-time video stream under dynamic mode. BioServer Pro 2 supports million-scale face images management and high-speed feature extraction. While in static mode, it enables fast large-scale concurrent search with high accuracy of comparison results and controllable number of returned results. Under dynamic mode, the server also featured by real-time facial recognition processing in large-scale real-time video surveillance.
| Hardware | |
| Dimensions (W*D*H) | 448*775.6*87.8mm |
| Form factor | 2U rack server |
| CPU | Intel E5-2600 series *2 |
| GPU | GPU card *1 |
| RAM | 32GB |
| Hard drive | 2TB enterprise hard drive |
| Network interface | 2* gigabit ethernet port (RJ45) |
| Power | 1+1 redundant power system |
| Weight | 35kg |
| System Environment | |
| Operating system | CentOS 7.2 |
| Runtime environment | CUDA 8.0, Redis, MongoDB |
| System Parameters under Dynamic Mode | |
| Total target capacity | 1,000,000 templates |
| Single target library capacity | Maximum 200,000 templates |
| Number of target libraries | Maximum 200 |
| Capacity of target library for real-time surveillance | Maximum 200,000 templates |
| Video decoding | GPU decoding |
| Video processin capability | 8 channels |
| Video input standard | The compression standard of input videos shall be H.264. 1. Support GB/T28181 and RTSP video stream 2. Support offline video files 3. Support third-party video platforms |
| Cache capacity for captured facial picture | Size of each picture shall not exceed 200kB. When 85% of storage space of the hard drive is used, old pictures will automatically be overwritten. |
| Batch-import speed of templates | 1,250,000 pictures/hour |
| Import speed of single template | Real-time monitoring: 20 ms/picture;snapshots: 4 ms/picture |
| Result’s return time for real-time facial capturing | <1> |
| Result’s return time for real-time facial comparison | <1> |
| Number of results returned after real-time facial comparison | <10> |
| System Parameters under Static Mode | |
| Total target capacity | 1,000,000 templates |
| Single target library capacity | Maximum 200,000 templates |
| Number of target libraries | Maximum 200 |
| Batch-import speed of templates | 1,250,000 pictures/hour |
| Import speed of single template | 4 ms/template |
| Speed of retrieving features in template batches | 350 templates/second |
| Speed of retrieving features in single template | 3 ms/template |
| 1:N image concurrent search volume | 90 pictures/second (return top 100 results) |
| 1:N feature concurrent search volume | 200 pictures/second (return top 100 results) |
| 1:1 image concurrent comparison | 125 pictures/second |
| 1:1 feature concurrent comparison | 600 pictures/second |
| Algorithm Parameters | |
| Maximum number of detected faces per frame | 30 |
| Maximum number of recognized faces per frame | 20 |
| Pose angle tolerance for face detection | ±75° (yaw); ±60° (pitch);±45° (roll) |
| Pose angle tolerance for facial recognition | ±30° (yaw); ±30° (pitch);±30° (roll) |
| Minimum face size for capturing | 20 * 20 pixel |
| Minimum face size for recognition | >30 pixel between eyes (optimized: >50 pixel) |
| Dynamic facial attributions | Age, gender, face shapes, glasses,sunglasses, smile, masks, races,stares, mouth opening, beards,hats |
| Facial recognition accuracy rate | Dynamic mode: |
| 94?curacy rate with 10% error rate 85?curacy rate with 1% error rate | |
| Static mode: | |
| 90% hit rate for Top 1 result, 98.5% hit rate within Top 5 results (under 1 million-scale 1:N comparison) | |
| Environmental Requirements | |
| Temperature requirements | Working: 10 ~ 30 °C (50 ~ 86 °F) Storage: -40 ~ 55°C (-40 ~ 131°F) |
| Humidity requirements | Working: 35 ~ 80% Storage: 20 ~ 93 % |