The Intelligent Walk-Through Metal Detection System (IMDS) is a cutting-edge
The IMDS provides high-accuracy weapon detection while minimizing false alarms, making it ideal for securing public spaces, events, and facilities. Its modular design and robust feature set ensure adaptability to a wide range of security needs.
· Patented Metal Classification Detection Technology: The system uses advanced algorithms to distinguish between contraband and everyday personal items like mobile phones, watches, lighters, keys, and coins. It filters out non-threatening items to reduce false alarms.
· Multi-Zone Alarm Mode: Supports simultaneous display of multiple alarm zones, enabling the detection of multiple concealed items at once.
· Real-Time Monitoring: An integrated tablet monitor displays real-time video, alarm information, and captured photos, including details about the location, date/time, contraband material, and shape.
· Embedded AI Edge-Computing Host: Collects and stores alarm data, runs AI algorithms, and connects to the monitor tablet and cloud platform.
· Alert Notifications: Sends real-time alerts to security centers, tablets, mobile apps, and browsers. Alerts can be escalated following confirmation by security personnel.
· Integration Capabilities: Can integrate with infrared temperature measurement cameras, HD surveillance cameras, face recognition terminals, and access control systems.
· Cloud Data Platform: Provides real-time alerts, incident reporting, analytics, device management, and other features to enhance operational efficiency.
TYPE | CONTENT | SPECIFICATION |
Metal Detection System | Allowed Passing Speed | 1-2 person(s)/second |
Detection Rate | Higher than 98% | |
False Alarm Rate | Lower than 5% | |
Pass Count | Support | |
Sensitivity Set | Support | |
Working Mode Set | Support | |
Self-Diagnosis | Support | |
POST (Power-on-Self-Test) | Support | |
Setting LCD | 7.0 inch LCD with Touch Panel | |
Outer Frame | 2200 mm(H) x 850 mm(W) x 800 mm(D) | |
Inner Frame | 2000 mm(H) x 700 mm(W) x 600 mm(D) | |
Weight | 120 kg | |
Power Supply Voltage | 110-220V, 50/60HZ | |
Edge-computing Host | Processor | 4 cores ARM Cortex-A7; 2.0 TOPS NPU Processor |
RAM | 2G | |
Flash | 16G | |
O/S | Linux | |
CAM | 1/2 HD Cam, 1920*1080 pixels, FOV Diagonal:>90°,Horizon>75°,Vertical>60° | |
Monitor Tablet LCD | 18.5 inch 1920*1080 | |
Interface | 1 Ethernet RJ45; 2 USB; 1 RS232;1 LVDS LCD Interface ; 1/2 CAM Interface | |
Communication | Ethernet 100M; 4G (Optional); WiFi (Optional) | |
AI algorithm | Face Capture and Recognition; Face Database Comparison; 3D Depth Analytics | |
Capture Photo | Distance between two eyes is higher than 30 pixels; Horizontal rotation angle of the face should be within ±30°; Pitch angle within ±20°; Tilt angle within ±30° |
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