Temperature Detection And Binocular Face Recognition Smart Attendance Machine
Body temperature test advertisement
The 2 megapixel face recognition machine (binocular) uses the advanced neural network algorithm (CNN), which is a product after tens of millions of algorithm training. It integrates the functions of image acquisition, face detection, face tracking, face comparison and living body judgment. The recognition rate is high and the recognition speed is faster. The off-line dynamic portrait recognition binocular machine does not need the special cooperation of pedestrians, does not need the computer control, is easy to use, simple to install, and is comprehensively ahead of similar products in the industry. It can be widely used in community access control, gateway, office building and other scenes.
Product Description
Basic parameters | |
sensor | 1 / 2.8 "progressive CMOS |
Minimum illumination | 0.01Lux@(F1.2,AGC ON) |
shutter | 1/100s~1/10000s |
Camera lens | Dual Sony 6mm lens |
Screen size | 7-inch high clear screen |
Day and night parameters | self-adaption |
Wide dynamic | self-adaption |
Digital noise reduction | Automatic regulation |
Voice Announcements | Support, support abnormal temperature alarm; |
video | |
Video standard | H.264 |
Bit rate | 1024Kbps~4Mbps |
Video size | 1920(H)*1080(V) |
Frame rate | 25fps |
Video settings | Exposure (shutter), gain, contrast, saturation, face exposure compensation |
Video overlay | Time, point name |
Backlight compensation | Support |
Recognition characteristics | |
Working mode | Online, offline, automatic |
Identifying content | Portrait, optional (gender, age, helmet) |
Recognition type | 1:N,1:1 |
Detection type | In vivo detection |
Recognition speed | Less than 100ms |
Discrimination rate | More than 99% |
Recognition distance | 0.3-0.5m |
Portrait Library | 2W-5W |
Portrait library import | Single picture, batch picture, real-time capture picture import |
Capture function | |
Picture format | JPEG encoding |
Snapshot results | Panorama, partial close-up |
Picture size | 1920 * 1080 (full view), proportion of local close-up according to actual picture |
Local storage | Built in 8GB EMMC for network disconnection and continuous transmission |
Capture storage | Close up: 640000 PCs (64g TF card inserted) supported by single machine |
Panoramic view: 320000 single computers (64g TF card inserted) |
pattern classification | |
Personnel type | Blacklist, whitelist, temporary users |
Output mode | Wigan 26 / 34 / 66, relay |
Trigger mode | Video trigger, swipe card, swipe ID card and QR code |
The two development | Multi platform (Linux, arm, windows), multi language (Java, C + +, C ×) |
Network characteristics | |
Agreement support | ONVIF HTTP/IP HTTP FTP 485 GB28181 to 3888626681DNS NTP |
General function | Heartbeat, password protection, NTP timing |
work environment | |
power supply | DC 12V 2A |
Power waste | -8W |
working temperature | -30'8451;'65374;' 6529170'84511; |
Working humidity | 20%90% |
Waterproof grade | IP66 |
protective measures | Lightning protection and surge protection |
Temperature detection | |
Sensor interface | IIC interface |
Sensor voltage | 03V power supply |
Error error | + 0.4 C |
Voice broadcast | Support abnormal temperature alarm |
Check distance | 0.3M - 0.5M |

