Face Recognition Access Control Outdoor Face Recognition Camera SDK Time Attendance IC Card Reader Access Control System
We provides face recognition SDK for secondary development, and support USB Flash Driver Download for the excel files of detailed temperature detection record and attendance report. Linux operating system face recognition Terminal with infrared sensor and face recognition camera. It equipped with 8-inch touch screen, 1280*800 and HDR front camera.
The Bi-Scan facial recognition algorithm allow you to check if is the person wearing a mask and prevent walking via photo or video. Face reader attendance machine with an infrared sensor and Bi-Scan facial recognition technology. Which makes the recognition quickly and accurately with 0.3 seconds.
Features of Time Attendance Access Control Terminal
Ø Using LINUX operating system,the system is stable
Ø 8-inch IPS full-view high-definition display
Ø Provide HTTP API for secondary development
Ø Configuration via the web interface for small objects
Ø Support for human face tracking exposure in strong back lighting
Ø High safety,support living detection,anti false photo authentication
Feature:
Ø Industrial-grade design, pitch angle, Wall mounted installation.
Ø Linux embedded system, more secure, stable, fast
Ø Integration of face capture, comparison function
Ø Support living face detection, effective prevention of photos and video spoofing
Ø Using deep learning algorithm, face database can reach 10,000pcs
Ø Flexible face template import, support single, batch image file import and real-time capture import
Ø Support face types of ordinary people, whitelist people, blacklist people, etc.
Ø Support recognize result linkage I/O, wiegand port output, voice broadcast
Ø Can be widely used in access control channel and other scenes
Ø Attendance check it
Ø Multiple access verification(face recognition and RIFD card)
Ø Mask Detection
Ø Attendance report
Ø Living detection
Ø Support 10,000 face user capacity
Ø Work with RFID card reader through wiegand
Hardware | |
Processor | Dual Core Processor+1G Memory+16G EMMC |
Operating system | Linux |
Storage | Support for TF card storage (optional) |
Imaging Device | 1/2.8" Progressive scan CMOS |
Lens | 4.5mm |
WiFi Module | 2.4GHz,IEEE802 b/g/n;5GHz,IEEE802 a/n/ac |
Performance | |
Recognition Height | 1.2~2.3 meters, adjustable angle |
Recognition distance | 0.5~1.5m, variable depending on the lens |
Recognition time | < 0.3 s |
Record Storage | 160,000 records |
Face capacity | 24000 pcs |
IC card | Support 13.56MHz,125KHz,915MHz;,CPU card |
Camera Parameters | |
Camera | Binocular camera, all-glass lens, visible and near-infrared, support for live detection |
Valid Pixels | 2.1 million valid pixels, 1920*1080 |
Minimum Lighting | color 0.01 @F1 .2 (ICR); black-and-white 0.001 @F1 .2 (ICR) |
Signal to noise | ≥ 50db (AGC OFF) |
Wide Dynamic | 120db, ISP algorithm face partial exposure |
Video encoding | H.265 Main Profile Code/H.264 BP/MP/HPCode/MJPEGCODE |
General | |
Operating temperature | -10℃ - 55℃ |
Operating humidity | 0~90%,non-condensing |
Consumption | 20W(MAX) |
Salt spray | >Rp6 |
Anti static | Contact ±6KV, air ±8KV |
Power supply | 12V/2A |
Protection rank | IP42 |
Screen specs | 8" HD IPS Screen |
Device Dimensions | 215 (length) * 130 (width) *15 (thickness) mm |
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