2MTHWT-HMD-III Walkthrough Metal Detector with Face Recognition and Forehead Temperature Measurement Module

Features                                                                                                            

• Alarm sounds when it detects unauthorized metal objects
• Can be set up with up to 33 metal detector zones
• Temperature can be measured on the forehead
• Temperature measurement distance: up to 3 feet
• Non-contact detection to avoid cross infection
• Easy to set up and use
• Safe for pregnant women, and people with pacemakers and/or hearing aids
• MBSU backup battery
• Self-diagnostic procedures
• Automatically adapts to the working environment
• Auto scans for environmental interference
• User friendly LCD
• Automatic calibration
• Two LED light bars on both door panels which indicates the level where the metal object is detected
• Metal detection sensitivity is adjustable from Level 0 to 300 High: Can detect up to a paper clip. Low: Detects big metal articles such as knives, guns, copper, aluminum items, zinc (more than 150g), bypassing metal in belts, buttons and shoes
• Shock proof to avoid false readings
• Sound and light alarm warnings
• Intelligent traffic and alarm counters that calculate traffic flow and resultant alarms.
• Tamper-Proof: The operating system is password protected
• Adjustable operating frequencies to help eliminate the potential interference
• from X-ray units, radios and other electrical items.
• Mix distances between two walkthroughs: 8″ at low sensitivity, 20″ at high sensitivity
• Connect with computer, camera, turnstile, etc… (optional)
• Built-in deep learning chip, Supports local off-line recognition, with a capacity of up to 10K faces, face whitelist (1:N)
• Fastest recognition time 2 seconds, various model merge mode are used to reduce false rate and increase pass rate
• WDR, 2MP (1080P) low illumination wide-angle camera and F1.6 large aperture lens for captures high quality images in various complex lighting
• Supports anti-spoofing detection based on deep learning algorithm, effective against fraud such as presenting a photo or video vs a live