Size: 830mm*616.5mm*1957mm
Weight: 100KG
System: WIN10(8 128G)/Android 11(4 64G)
Display: 14.1' (1920*1080)
Based on Impinj E710 chip, Rate≥ 900 tags/sec
Face recognition, finger vein recognition, card recognition, etc
Physical parameters
| Dimensions | 830mm*616.5mm*1957mm |
|---|---|
| Weight | 100KG |
| Materials | Sheet Metal Aluminum Profile |
| Interior plies | Up and down movement adjustable |
Performance parameters
| Working frequency band | 902MHz to 928MHz |
|---|---|
| Conform to standard | EPC global C1 Gen 2/ISO 18000-6C |
| Output power | Output power software adjustable, step interval ± 1db, maximum 33dbm |
| Operating System | Android 10 or above |
| Display | 14.1 inch touch screen |
| Resolution | 1920*1080 |
| CPU | Ruixin Micro RK3568 Quad-Core |
| Storage | LPDDR4 4GB 16GB EMMC NAND Flash |
| Login Method | Refers to vein, face, swipe card |
| Number of scans | ≤ 400 pieces |
| Network Interface | RJ-45, Wi-Fi |
| Power consumption of the whole machine | 150W |
| Power supply | 220V AC |
| Counting time | <6 seconds |
| Application Scenarios | Hospital consumables central warehouse, operating room, intervention room, laboratory, radioactive intervention room, etc. |
Environmental parameters
| Working temperature | 10 ℃ ~ 40 ℃ |
|---|---|
| Storage temperature | 0 ℃ ~ 50 ℃ |
| Ambient humidity | 20% ~ 80% RH, no condensation |
Expansion module parameters
| Binocular Live Face Recognition | Support face tracking, face detection, face quality detection, liveness detection, mask detection, face signature extraction and comparison |
|---|---|
| Temperature and humidity sensing display | Measurement accuracy: temperature ± 0.3 ℃(25 ℃), humidity ± 3% RH(25 ℃) Display: 3.5 inch TFT color display |
| finger vein identification | Comparison mode: front-end comparison Recognition speed:<1 second False Accreditation Rate (FAR):0.0001 per cent Truth Rejection Rate (FRR):0.01 percent |
| HD monitoring head | Video Resolution: 1080P Lens focal length: 2.8mm Power supply mode: POE |