Description
face recognition bullet camera based on deep learning for face recognition and comparison.
Attributes
𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐚𝐭𝐭𝐞𝐧𝐝𝐚𝐧𝐜𝐞 𝐅𝐚𝐜𝐢𝐚𝐥 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧 𝐂𝐂𝐓𝐕 𝐀𝐭𝐭𝐞𝐧𝐝𝐚𝐧𝐜𝐞 𝐂𝐚𝐦𝐞𝐫𝐚
C5M is a face recognition bullet camera based on deep learning for face recognition and comparison. Using HiSilicon industrial-grade chips, built-in neural network computing processor and embedded Linux operating system, it can quickly retrieve and identify targets in the local face database, and realize the barrier access management function;
Support processing 50,000 local face database, ultra-high comprehensive recognition accuracy. Its recognition speed is ≤150ms, and the recognition rate ≥99%; Support attendance records and export of reports, and can be used with most of the barrier gate systems on the market. C5M is a cost-effective multi-face capture and comparison camera, which can be wall-mounted or ceiling-mounted.
Automated attendance with artificial intelligence technology Facial Recognition CCTV Type Attendance Camera System
Features:
Professional intelligence function:
•Embedded intelligent deep learning face algorithm, extracting target features by itself, forming a deep face image for learning;
•Support front-end face comparison, support for detecting, tracking, capturing, scoring, feature extraction, and recognition of moving faces, and output the best face comparison results;
•Support a variety of face capture modes: fast, interval, after leaving (including: distance selection, quality selection) and other face capture modes, the number of captures can be set;
•Support multiple parameter settings such as face area recognition, area shielding, list management, alarm settings, and comparison records;
•Supports up to 32 face detection per frame; supports face detection between 30*30-500*500 pixels;
•Supports uploading of face pictures and original images, and the encoding quality of face pictures is adjustable;
•Support the management of up to 3 face libraries, support up to 5000 face libraries; support multiple arming time period settings;
•Support a single face in the pixel range of 150*150-960*960;
•Support black and white list comparison, VIP list database comparison, recognition of non-face database personnel, and complete alarm output;
•Support face intelligent exposure mode, wide dynamic range up to 120dB, face is still clearly visible under strong backlight;
• Face capture scenes are respectively aimed at backlighting environment and normal environment, and there are two modes of backlighting scene and normal scene can be set;
•Built-in motorized lens zoom lens, easy to operate, stable zooming process;
•Built-in high-efficiency infrared array light, low power consumption, with ICR infrared filter, automatic switching color/black mode, realizing day and night uninterrupted capture of human faces;
•Support Smart IR, which can intelligently adjust the brightness curve to prevent overexposure of a certain block of images and underexposure of a certain block of images;
Technical Parameter:
Camera |
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sensor type |
1/1.8″ Progressive Scan CMOS |
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Electronic shutter |
1/12s~1/8000s |
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Minimum illumination |
Color 0.001Lux-F1.2; Black and white 0.00Lux-F1.2; |
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Signal-to-noise ratio |
≥50dB(AGC OFF) | ||
Wide dynamic range |
≥120dB | ||
Noise reduction |
3D digital noise reduction | ||
Lens type |
9-22mm F1.4, horizontal field of view 38°~17° | ||
Compression standard |
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Video compression standard |
H.265+/H.265/H.264/MJPEG |
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Encoding type |
Main Profile |
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Video bitrate |
32 Kbps~16Mbps |
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Image |
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Image settings |
Adjustable brightness, contrast, saturation, sharpness, white balance; AWB (automatic white balance), AGC (automatic gain); support privacy zone occlusion; OSD overlay; |
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Maximum image size |
1920 × 1080 |
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Video resolution | Main stream |
1080P(1920×1080)/1280×720 |
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Auxiliary stream |
D1(704×576)/VGA(640×480)/640×352/QVGA(320×240) |
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Video frame rate |
50Hz: 1~25fps 60Hz: 1~30fps |
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Character overlay |
Support |
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Smart function | |||
Smart encoding | Support low bit rate, low latency, ROI region of interest enhanced coding, support 4 ROI regions | ||
Smart detection | Supports intelligent out-of-focus detection, and supports two prompt methods: screen output, associated mobile alarm output | ||
Smart control | Support intelligent control of alarm opening, alarm closing, fault clearing, and intelligent noise reduction | ||
Professional intelligence |
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Face comparison | Supports detection, tracking, capture, scoring, feature extraction, and recognition of moving faces, and outputs the best face comparison results. | ||
Snapshot mode | Multiple face capture modes such as fast, interval, and after leaving, and the number of captures can be set. | ||
Face capture pixels | Support face detection between 30*30-300*300 pixels | ||
Face exposure | Support | ||
Image information | The picture adopts JPEG encoding format, supports face picture and original picture upload, face picture encoding quality is adjustable | ||
Upload method | Proprietary protocol, FTP, HTTP | ||
Face storage | Support up to 5000 face libraries | ||
Network parameters |
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Network protocol |
IPv4,TCP/IP, UDP, RTP, RTCP, UPNP, RTSP, SMTP, NTP, DHCP, DNS, PPPOE, DDNS, FTP; |
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Access standard | Support the latest ONVIF/ GB28181 | ||
Number of client visits | Support 8 users to log in at the same time | ||
Auxiliary interface |
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Network Interface | 1 RJ45 10M/100M adaptive Ethernet port | ||
Alarm interface | 1 switch alarm signal output, maximum support DC24V 1A | ||
General parameters |
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Infrared distance | Up to 50m | ||
powered by | DC 12V±20% / POE(802.3at) (optional) | ||
Power consumption | DC12V: 12W MAX | ||
Working temperature, humidity | -30℃~60℃, humidity is less than 95% (no condensation) | ||
Protection level | IP66 | ||
size | 196.5*99*87mm | ||
weight | 1200g (including packaging accessories) | ||
Installation method | Wall mount or ceiling mount (standard configuration without mounting bracket) |