IPS LCD Face Recognition Turnstile Camera With Attendance System
Privacy Data Protection Face Recognition Camera with Attendance System
To address some of the concerns around privacy and security, face access control systems typically incorporate a range of safeguards and controls. For example, some systems may encrypt facial data to protect it from unauthorized access or use, while others may incorporate features such as multi-factor authentication to further enhance security.
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Camera
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Resolution
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2 million pixels
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Type
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Binocular dynamic camera
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Focusing distance
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50-150cm
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Photoflood light
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LED and infrared double-floor light
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Screen
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Size
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8.0 inches IPS LCD Screen
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Resolution
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1280*720
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Touch
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Optional support
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Network module
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Ethernet and wireless(WIFI)
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Audio
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2.5W / 4R speakers
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USB
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1 USB OTG, 1 USB HOST standard A port
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Relay output
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1 door open signal output
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Wiegand
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One Wiegand 26/34 output, one Wiegand 26/34 input
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Wired network
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1 RJ45 Ethernet socket
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card reader
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Optional IC card reader, ID card, ID card)
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Face Detection
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Support
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Face library
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Up to 30,000+
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1: N face recognition
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Support
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1: 1 face comparison
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Support
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Stranger detection
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Support
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Identify distance configuration
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Support
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UI interface configuration
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Support
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Upgrade remotely
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Support
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Interface
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Interfaces include device management, personnel/photo management, record query, etc.
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Deployment method
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Support public cloud deployment, privatized deployment, LAN use, stand-alone use
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Infrared thermal imaging module
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Temperature detection
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Support
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Temperature detection distance
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≤1m
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Temperature measurement tolerance
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≤±0.2℃
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Abnormal temperature alarm
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Support (temperature alarm value can be set)
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General parameters
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Power
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DC12V
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Operating temperature
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-40℃~60℃
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Storage temperature
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-40℃~60℃
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Power consumption
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13.5W(Max)
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Installation method
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Floor stand, Desktop stand, Wall mounted, Gate bracket installation
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Packing list
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Machine * 1, power adapter * 1, manual * 1, certificate of conformity * 1
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Characteristic
1. User database management: Face recognition systems can be customized to manage user databases, including adding or deleting users, and managing access permissions for specific users.
2. Mask detection: In the context of the COVID-19 pandemic, face recognition systems can be customized to detect if individuals are wearing masks or not and to enforce mask-wearing policies in certain settings.
3. Age and gender recognition: Face recognition systems can be customized to recognize the age and gender of individuals, which can be useful for targeted marketing or security applications.
4. Emotion recognition: Face recognition systems can be customized to recognize the emotions of individuals, which can be useful in retail or marketing settings to measure customer satisfaction or detect fraudulent behaviour.
5. Pose estimation: Face recognition systems can be customized to estimate the pose or orientation of an individual's face, which can be useful for tracking individuals in crowded or dynamic environments.
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