2-megapixel dynamic facial recognition

产品描述
技术参数
产品优势
项目案例

The 2-megapixel dynamic offline human recognition dome camera utilizes an internationally advanced neural network algorithm (CNN), a product refined through tens of millions of algorithmic training iterations. It integrates functions such as image capture, face detection, face tracking, and face matching, delivering both high accuracy and rapid recognition speed. Thanks to its ability to identify individuals directly without requiring any cooperation from pedestrians—and without the need for computer control—the offline dynamic human recognition dome significantly enhances ease of use in applications like residential community access control, barrier gate passages, and office building entrances.

Waterproof, suitable for outdoor turnstiles and access control passages; features a 5,000-person image database.

	Name Claim	200 Megapixel Standalone Dynamic Human Recognition Hemisphere
	Type Number	SEWO -FS205	SEWO -FS220
Basic parameters
Pass on Feeling Device		1/1.8" Line-by-line scanning CMOS
Minimum illumination		0.01 Lux @(F1.2, AGC) ON)
Quick Door		1/ From 100 seconds to 1 in 100,000 Second
Lens mount		3.6–10mm Electric Lens
Day-and-night parameters		Since Adaptation
Wide Dynamic		Adaptive
Digital noise reduction		Automatic adjustment
Coding Standards
Video Standard		H.264/MJPEG
Bit Rate		1024 Kbps~ 4 Mbps
View Frequency
Encoding format		H.264
Video size		1920(H) × 1080(V) &128 0(H)* 72 0(V)
Frame Rate		25fps
Video Settings		Exposure (shutter), Gain, contrast, saturation, brightness Adjustable
Video Overlay		Time 、 Location Name
Backlight Compensation		Support
Snapshot Function
Image format		Adopt JPEG Coding
Snapshot Result		Panoramic view Figure, Close-up image of the local area (for comparison) Success, Not Than To 、 Comparison failed, composite image Piece)
Image size		1920 *1080 (Panoramic view); Close-up of a specific area The diagram is based on reality. Screen Proportion
Smart features
Identify patterns		Offline Dynamic Portrait Recognition
Identify the content		Portrait, Gender, and Age Recognition
Identify type		1: N
Human Image Library		5,000 copies		20,000 sheets
Recognition Rate		≥97%
Recognition speed		≤250ms
Distance Recognition		1.0–3.0 meters
Portrait Warehouse Issue		Single copy Import images, batch images, and real-time captured images
Portrait Storage		Feature Map: Supports 200,000 images on a single device (with a 64GB TF card inserted) Panoramic View + Feature Map: Single device supports 50,000 images (with a 64GB TF card inserted)
Recording mode		Panoramic view, close-up detail images
Management Type		Blacklist, whitelist, Temporary user
Output mode		Wegener 26, Relay
Trigger method		Video Trigger
Living organism Detection		Support
Secondary Development		Support More Platform , More Language
Network Functions
Support Agreement		ONVIF ,TCP/IP, HTTP, DNS, NTP, FTP, Serial port Communication protocol, Weygan Agreement, Private agreement
Storage function		Supports Micro SD card (64GB) for offline local storage and resume-on-reconnect transfer.
General Features		Heartbeat , Password protection ,NTP Time synchronization
Interface
Communication interface		1 One RJ45 10M/100M Adaptive Ethernet Port
Assistive communication		1 One RS-485，1 One Wiegand, 1 USB 2.0
Video output		1-channel BNC analog output
Trigger input		Route 1 External Trigger input
Trigger output		2 Road Open Close Output volume
Audio input		1-channel audio input
Audio output		1-channel audio output
Work environment
Available Electricity		DC 12V 2A
Power Consumption		≤5W
Operating temperature		-30 °C ~ +70 °C
Working humidity		20%–90%
Dimensions ( mm )		See Product Dimensions
Heavy Quantity		Approximately 400g

High-performance embedded processor integrating image capture, face detection, face tracking, and face comparison into one system;

Autonomy CNN neural network algorithm dynamically recognizes without requiring specific coordination;

Offline portrait recognition—no computer or cloud required;

Supports panoramic views and close-up details. Image output;

Supports age, gender, and other identification features;

Recognition speed ≤250ms, recognition rate ≥97%;

Support 5,000/20,000-person image database;

Supports video overlay;

Supports the Wiegand protocol;
1. Supports blacklists, whitelists, and alarm outputs;
2. Support Temporary List Control ；

Face Recognition All-in-One Machine

None

Face Recognition All-in-One Machine

None

WeChat Official Account

Mini-program Store QR Code

Business license