Adopting a 2-megapixel progressive scan CMOS sensor. With 99% face recognition accuracy, 20,000 Face Capacity, and 30,000 events capacity, the camera can accurately recognize faces as fast as 0.2 seconds. Ideal for industry, shops, and other SMBs. It is compatible with the ONVIF Profile S protocol, enabling interoperability with numerous third-party devices.
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IPC507ET-2M-W, Full HD 2MP Face Recognition Access Control Terminal All-in-One Machine, Body Temperature Detection, Face Comparison Library
#204101
#204101
US$508.00
FS P/N: IPC507ET-2M-WFS P/N: IPC507ET-2M-W
9 Solds
0 Review
0 Question
Pre-order, Ship by 16 Aug, 2024
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Deliver to New York, 10010
Free Shipping via Fedex International Priority
2-Year Warranty
30-Day Returns
30-Day Exchange
IPC507ET-2M-W, Full HD 2MP Face Recognition Access Control Terminal All-in-One Machine, Body Temperature Detection, Face Comparison Library
Specifications
Operation System
Linux
Communication Mode
1×100Mbps Ethernet interface
Face Recognition Accuracy Rate
＞99%
Door Opening mode
Face, password, card, or any combination of them
Face Recognition Time
200ms
Protection Level
IP65
Face Capacity
20000
Max. Resolution
2 Megapixel
Card Capacity
20000
Size
7 inch
Card Support
Mifare card, USIM NFC card
Storage Capacity
4GB
Event Capacity
8,000 (with images)
30,000 events (without images)
30,000 events (without images)
Dimensions((Hx Wx D)
246x 23.5x 110mm(9.7”x 0.9”x 4.3”)
Operating Environment
-20 to 60°C (-4 to 140°F）
Storage Humidity
<95%, non-condensing
Power Supply
Input 12V±25% DC
Illumination
IR
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Connectivity Solutions
Features
Face Recognition Prevents Photo & Video Frauds
With dual cameras, it supports anti-spoofing detection based on deep learning algorithms, effective against fraud such as photos and videos.
Validation time=0.2s/user
Measurement Distance: 1m
Measurement Deviation:0.3℃
Support Multiple Unlocking Methods
Supports temperature measurement (an external temperature measurement module is required) and mask detection for pandemic prevention and control. Supports door opening by face, card, password, etc.
Improves Efficiency in Access Control
With deep learning algorithms and chips, it can detect people, and store passing records.
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