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Dahua Technology ASI7213K-W Face Recognition, Card Swiping, Password Access Controller

Technical Specification

Features:

Make: Dahua Technology
Model code: ASI7213K-W
Standalone/ Networked/ PC: Standalone
Reader Type: Biometric
Operating Temperature ^oC: -30 ~ +60 C (-22 ~ +140 F)

Additional info:

7" LCD with a resolution of 600 × 1024. 2-MP dual-lens CMOS camera. Supports 50,000 users, 50,000 faces, 50,000 passwords, 100,000 cards, 50 administrators, and 300,000 records. Multiple unlock methods including face, IC card, password and QR code. Recognizes faces 0.3 m to 3.0 m away (0.98 ft–9.84 ft), and detects persons between the height of 0.9 m and 2.4 m (2.95 ft–7.87 ft). Powered by the face recognition deep learning algorithm, the device can accurately locate over 360 key points on the face of a target. Faces can be recognized within 0.2 seconds, without need for the person to touch the device. Features face mask detection and safety helmet detection. Plays advertisements in video and image format. Supports extension modules for fingerprint, QR code and and fingerprint + QR code. Recognizes up to 6 faces at the same time.

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Datasheet Datasheet

Make	Dahua Technology
Manufacturer	Dahua Technology Ltd
Category	Access Control>Access control systems & kits
Model code	ASI7213K-W
Standalone/ Networked/ PC	Standalone
Reader Type	Biometric
Environmental Specifications	Operating Temperature ^oC: -30 ~ +60 C (-22 ~ +140 F) Operating Humidity %: 0 ~ 90 Protection: IP65
Electrical Specifications	Voltage: 12 V DC Power Consumption: ≤6 W (standby), ≤12 W (working)
Physical Specifications	Dimensions mm: 213 x 116 x 28.6
Additional info	7" LCD with a resolution of 600 × 1024. 2-MP dual-lens CMOS camera. Supports 50,000 users, 50,000 faces, 50,000 passwords, 100,000 cards, 50 administrators, and 300,000 records. Multiple unlock methods including face, IC card, password and QR code. Recognizes faces 0.3 m to 3.0 m away (0.98 ft–9.84 ft), and detects persons between the height of 0.9 m and 2.4 m (2.95 ft–7.87 ft). Powered by the face recognition deep learning algorithm, the device can accurately locate over 360 key points on the face of a target. Faces can be recognized within 0.2 seconds, without need for the person to touch the device. Features face mask detection and safety helmet detection. Plays advertisements in video and image format. Supports extension modules for fingerprint, QR code and and fingerprint + QR code. Recognizes up to 6 faces at the same time.
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