Zkteco ZKX AI1000

  • Machine learning algorithms automatically detect dangerous, prohibited, and contraband items across 26 categories
  • Fast recognition speed processing and transmitting analyzed images in under 0.15 seconds
  • High threat detection accuracy exceeding 90% with a low omission rate under 5%
  • Reduces human screener error, distraction, and fatigue to improve overall throughput rates
  • Seamless network integration connecting to X-ray inspection machines via a standard TCP/IP interface
  • Compatible with eight ZKTeco X-ray machine models (including ZKX5030C, ZKX6040, ZKX6550, and ZKX10080 series)
  • Compact and low-power design utilizing a durable SPCC steel casing with a 2W operational power consumption
  • Continuous around-the-clock operation requiring minimal staff training

Description

The ZKTeco ZKX-AI1000 is a computer vision-driven X-ray image analysis server terminal designed to accelerate baggage inspection by automatically detecting prohibited items and contraband using machine learning algorithms. Connected via TCP/IP to compatible ZKTeco X-ray machines, it analyzes incoming baggage scans using VT2.03 recognition algorithms against an extensive image database, achieving an analysis accuracy over 90% with near real-time recognition speeds under 0.15 seconds. By instantly transmitting flagged threat results to the operator’s monitor, this compact unit minimizes human screener error, distraction, and fatigue, significantly enhancing overall screening throughput in high-security environments like stations, schools, malls, and government buildings.

Recognizable Items26 categories
AlgorithmsRecognition algorithms VT2.03
Recognition Speed<0.1s
FRR<10%
Omission Rate<5%
Input VoltageDC12V
Operating Current170mA
Operating Power2W
CommunicationTCP/IP and Relay output
Operating Temperature-20℃ to 55℃
Storage Temperature-25℃ to 65℃
Dimension(L*W*H)196* 144*40 (mm)
Dimension With Packing(L*W*H)300*183*93 (mm)
Casing MaterialSPCC steel
Net Weight0.7kg
Weight With Packing1kg

Related Products