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THERMAL PRODUCT

PRO-KM709AI-BR

PRO-KM709AI-BR

AI Binocular Fever Detecting Thermal Camera

  • Non-contact High-accurate Body Temp
    Measurement 35⁰C-38⁰C, Accuracy ±0.3⁰C)
  • AI Detecting 20-30pcs Human Faces
    Simultaneously and Snapshot
  • Alarm Output if Abnormal Temperature
    Detected
  • Voice Broadcast
  • Fire Alert
  • Third-party Platform Docking

PRO-N555AI-8L

PRO-N555AI-8L

2MP Face Recognition & Temperature Measurement Machine

  • Attendance
  • Voice Broadcast
  • 8 inch HD LCD Display Screen
  • Mask Wearing Detection
  • Face Recognition,50000pcs Face Database Available
  • Local Alarm Output if Abnormal Temperature Detected
  • Access Control
  • Compatible with All kinds of Access Control System
  • Built-in 16G SD Card Storage for 50000pcs database
  • Can Record Identification Information and Temperature Information for Future Search

PRO-TM-7091-N

PRO-TM-7091-N

Infrared Thermometer

  • Sensor: Infrared
  • Accuracy:+0.2⁰C
  • Working Voltage:5v~12v input
  • Measuring Distance: 5~10cm
  • Display: LED
  • Measuring Time: Yes
  • Alarm: <0.5s
  • Working Temperature: 20°C~ 35°C
  • Installation: Wall Mounted

PRO-105

PRO-105

Temperature Detection System & Face Reader Machine

  • TDS-90 is an indoor RS232/ RS485/USB Module is used for temperature Duration
  • Applicable to both T&A and Access Control devices of ESSL

PROFACE -991

PROFACE -991

Facial Attendance and Access Control

  • Industrial grade design, with stable performance &
    smooth line
  • 8-inch IPS display all-sight LCD touch screen
  • Dual core ARM cortex- A7 @900MHz Processor
  • Detect human body temperature through face
  • Recognition speed 0.5 seconds

PROFACE - 990

PROFACE - 990

Facial Attendance and Access Control

  • High-End CPU-DualCoreARM Cortex-A7@900 MHz
  • Remotely Firmware Upgradation.
  • Detect 5 person at a time.
  • 5-inch IPS display all-sight LCD touch screen with 480*854 resolution.
  • IP54 Grade Highly finished slim device.
  • Highly reliable and durable.
  • Recognition speed 0.5 seconds.

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