FEATURE
· 1/1.8" 4MP low illumination CMOS sensor
· Embeds a deep-learning facial algorithm that autonomously extracts features and generates high-quality, learnable face data.
· Support Face Recognition,support 50,000 face libraries,100,000 facial records,Up to 32 faces detectable per frame.
· With two-way audio.
· DC12V / POE(4G do not support POE),DWDR,HLC,BLC,White Balance,Defog,
3D DNR,IP66 Waterproof.
APPLICATION
Facial recognition surveillance cameras are widely used in scenarios that enhance security, management efficiency, and automation.
· Security Monitoring:
- Managing access to important places such as airports, train stations, ports, warehouses, factories, etc., by identifying unauthorized or suspicious individuals.
· Public Safety:
- Recognizing suspicious persons or wanted suspects on city streets, squares, public transportation systems, thereby enhancing public safety.
· Access Control:
- Automatically recognizing and allowing authorized personnel to enter corporate buildings, company parks, government agencies, campuses, etc.
· Financial Institutions:
- Used in banks, ATMs, stock exchanges, for identity verification and surveillance to prevent fraud.
· Retail and Commercial:
- Recognizing loyal customers or potential shoplifters in shopping malls and supermarkets to improve customer experience and security.
· Event Tracking and Investigation:
- Tracking suspects or missing persons, providing evidence for police investigations.
· Traffic Management:
- Recognizing vehicles and drivers on highways, toll gates, or parking lots for automatic access and increased efficiency.
· Airport and Station Security:
- Automatically verifying passenger identities to enhance security checks.
· Campus Management:
- Controlling access, managing student vehicles, and campus security patrols.
· Large Event Security:
- Recognizing potential risk individuals at conferences, sports events, concerts, and other large gatherings.