English

Face recognition and temperature measuring machine Infrared thermal imaging temperature measurement

1,Using 8-inch IPS full-view LCD display;
2,Support human body temperature detection, temperature display, 1 meter ultra-distant body temperature detection, 0.2 ℃ error, support and automatic alarm for abnormal body temperature, second-level detection speed, real-time export of attendance temperature measurement data
Description
Features:
  1. Using 8-inch IPS full-view LCD display
  2. Industrial-grade appearance, waterproof and dustproof design, stable and reliable
  3. Support 3W face database. The 1: 1 comparison recognition rate is over 99.7%, the 1: N comparison recognition rate is over 96.7%@0.1% false recognition rate, and the biopsy detection accuracy rate is 98.3%@1% false rejection rate. Face recognition pass speed is less than 1 second
  4. Support face recognition and comparison while wearing a mask
  5. Using industrial-grade binocular wide dynamic camera, night infrared, LED dual fill light
  6. Supports optional Rockchip RK3288 quad-core processor, Rockchip RK3399 six-core processor and Qualcomm MSM8953 octa-core processor, with strong performance
  7. Support human body temperature detection, temperature display, 1 meter ultra-distant body temperature detection, 0.2 ℃ error, support and automatic alarm for abnormal body temperature, second-level detection speed, real-time export of attendance temperature measurement data
  8. Support ID card reader, fingerprint reader, IC card reader, QR code reader and other peripheral expansion
  9. Support system level, APP offline level, APP + background network level API connection, complete documentation, support secondary development
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 8.0 inch IPS LCD screen 
Day and night parameters self-adaption
Wide dynamic self-adaption
Digital noise reduction Automatic regulation
Voice Announcements Support, support abnormal temperature alarm;
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)
Shenzhen DDW Technology Co., Ltd. 2019© All Rights Reserved.
Welcome subscribe to us!
Only Quality products and News will be pushed to you!