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Face Camera System Recognition Finder
Shipping: International shipping available
Shipping time: Standar(10-20 business days), Rush(5-10 business days)
Discount: Get 2% discount on orders of USD $100.00,Get 3% discount on orders of USD $200.00
Handling time: Ships within 3 business days after receiving cleared payment
Returns: 7 days money back guaratee,buyer pays return shipping
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The 4G wireless communication enhanced face camera system recognition finder includes the front-end human code acquisition equipment, the intermediate transmission network, and the artificial intelligence and big data-based analysis back-end, which can realize the collection, storage, analysis, and mining and deployment control and early warning functions. The front-end human code acquisition equipment consists of an integrated 4G wireless communication base station and high-definition cameras. The intermediate transmission network refers to wired or wireless Ethernet and aggregation switches. The back-end system consists of an X86 server and a management and data analysis software platform running on it.
1. System Architecture Diagram
2. Human Code Technical Solution
It is mainly composed of three modules: working simultaneously 4G FDD and TDD base station, high-definition camera, and its control and management part.
The main function of the code detection part is to obtain the IMSI of the mobile phone around the set area by simulating the 4G base station and send it back to the data and control server. It mainly includes the following functional modules:
● Control Management Center: Responsible for data and equipment management, system configuration, maintenance, etc.
● 4G base station module: responsible for LTE communication process and code detection processing.
● Communication and transmission module: Responsible for the control of LTE code detection equipment and management and data server control and data information communication.
● Power amplifier: Responsible for amplifying LTE downlink radio frequency small signal and uplink small signal.
3. Equipment Function Introduction
The device includes code detection and camera parts, and supports face capture comparison, vehicle capture, video structure analysis, wireless device MAC address collection, and mobile phone IMSI collection.
3.1 Code Detection
The device has a built-in high-performance LTE base station single board to realize the mobile phone IMSI collection function. Support 4G user information collection.
3.1.1 Main features:
● Support TDD-LTE: B38/41, B39, B40
● Support FDD-LTE: B1, B3
● Support IMSI capture
● Support MAC address collection
● Support two carriers working at the same frequency or different frequencies at the same time
● Support round-robin station establishment mode, TDD/FDD all support fast switching of frequency points
● Open environment, coverage area up to 50M (related to macro network environment)
● Support sweep frequency self-configuration function
● Flexible configuration, support manual or automatic site construction
● 3. 4G wireless backhaul (customized)
● 100M Ethernet wired backhaul
3.1.2 Specification
| No. | Description | Parameter | |
| 1 | Working Frequency | FDD-LTE | Band3:Uplink: 1710MHz~1785MHzDownlink: 1805MHz~1880MHz
Band1: Uplink: 1920MHz~1980MHz Downlink: 2110MHz~2170MHz |
| TD-LTE | Band38: 2575MHz-2635MHzBand39: 1880MHz~1920MHzBand40: 2320MHz~2370MHz
Band41: 2496MHz~2690MHz |
||
| 2 | Frequency Error | <±0.05ppm | |
| 3 | Number of Carriers | 1TDD+1FDD | |
| 4 | Output Power | 2W / Channel | |
| 5 | Scanning Ability | 800 users/minute/carrier | |
| 6 | Capture Performance | pedestrian target: speed <5km/h, stay 10 meters near the base station for 1 second: capture rate>98% (related to the macro network environment) | |
| 7 | Black and White List | support | |
| 8 | Antenna Method | internal and external antenna conversion | |
| 9 | Analyze Performance | simultaneous analysis of APP and background | |
3.2 Camera
The upper channel of the camera is used to view details, and the lower channel is used to view the panorama. It consists of a dual-lens camera and a high-performance GPU module. It aggregates a variety of deep learning algorithms designed for complex scenes to achieve accurate collection of fully structured data and has the ability to analyze data fusion in multiple scenarios. , Realize all-round situational awareness. Support three intelligent resource mode switching: hybrid target detection-fully structured mode (default), hybrid target detection-comparison mode, face capture.
3.2.1 Multi-dimensional collection function:
| No. | Description | Parameter |
| 1 | Mobile Phone IMSI Information | support TD-LTE and FDD-LTE full standards, upload speed >800/minute/carrier. Maximum power: 2W/carrier. |
| 2 | Faces | support face capture |
| 3 | Motor Vehicles | support vehicle snapshots |
| 4 | Non-motorized Vehicles | support non-motorized vehicle snapshots |
3.2.2 Working mode and characteristics:
| 3 smart resource modes | |
| Hybrid Target Detection (full structured mode) | a) Snap the human body: support the identification of top color, bottom color, gender, wearing glasses, backpack, carrying things, wearing a hat, wearing a mask, long and short sleeves, hakama, and hairstyle attributes.b) Snapshots of human faces: support for capturing sports faces.c) Capture non-motorized vehicles: support the identification of the attributes of coat color, gender, wearing glasses, backpack, wearing a hat, wearing a mask, long and short sleeves, hairstyle, bicycle type, and number of riders.
d) Capture motor vehicles: Support license plate recognition and capture. Support vehicle type, license plate color, body color, license plate type, and sub-brand body color attribute recognition. |
| Face Capture Mode (front face capture) | a) Support for detecting, tracking, capturing, scoring, and filtering sports faces, and output the best faces.b) Support face false positives and quick capture of faces.c) Support two modes of quick capture and best capture, and support two modes to be turned on at the same time. |
| Mixed Target Detection (comparison mode) | a) Support front-end face comparison.b) Support the management of up to 3 face libraries.c) Support the import of up to 90,000 faces.
d) The maximum storage space that supports the total face library is 3GB, and a single face does not exceed 300Kb. e) Support different face databases to be armed at different times. f) Support blacklist comparison successful alarm output. g) Support face detection with an interpupillary distance of more than 20 pixels. h) Supports quick face comparison and multiple comparison method settings. |
| Others | a) Support the docking application of mainstream monitoring platforms such as Haikang and Dahua.b) Support the upper and lower shots association, the target face of the detailed scene will replace the face of the panoramic scene target.c) Support the background big picture to show the human target trajectory. |
| Fill Light | The device has a built-in high-efficiency patented gentle fill light, bid farewell to light pollution, and ensure normal face capture at night.Sensor type: upper channel: 1/1.8″ Progressive Scan CMOS; lower channel: 1/1.8″ Progressive Scan CMOS |
| Minimum Illumination | Upper channel: Color: 0.001 Lux @ (F1.2, AGC ON) Black and white: 0.0006 Lux @ (F1.2, AGC ON), 0 Lux with IRLower channel: Color: 0.001 Lux @ (F1.2, AGC ON) Black and white: 0.0002 Lux @ (F1.2, AGC ON), 0 Lux with Light |
| Lens | Upper channel: 10-50mm @F1.2 Horizontal viewing angle: 41.4°-9.8° Vertical viewing angle: 22.7°-5.5°Lower channel: 4mm @F1.0 Horizontal field of view: 89° Vertical field of view: 46° |
| Single-axis Adjustment | The capture part can be adjusted by ±5° in the T direction; the monitoring part can be adjusted by ±15° in the T direction |
| Video Compression Standard | H.265/H.264 / MJPEG |
| Maximum Image Size | Upper Channel: 3840 x 2160 Lower channel: 2560 x 1440 |
| Storage Function | Support Micro SD (i.e. TF card)/Micro SDHC/Micro SDXC card (128G) disconnected local storage and disconnected network transmission, NAS (NFS, SMB/CIFS are supported) |
| GPS Positioning | GPS information detection: support the latitude and longitude query of the location of the device, support GPS/Beidou time calibration |
| Audio Interface | 1 pair of 3.5mm audio input (Mic in/Line in)/output external interface |
| Communication Interface | 1 RJ45 10M / 100M /1000M adaptive Ethernet port, 1 RS-485 interface |
| Alarm Interface | Alarm input: 2 channelsAlarm output: 2 channels (AC/DC 24V 1A max) |
| Video Output | Vp-p Composite Output(75Ω/CVBS) |
| Working Temperature | -30℃~60℃ |
| Relative Humidity | less than 95% (non-condensing) |
| Power Supply | Power adapter (220V), DC12V/DC28V/DC36V |
| Power Consumption | DC12V, 1.8A/DC28V, 1.43A/DC36V, 0.8A, MAX: 100W |
| Protection Grade | IP66 |
| Fill Light Distance | Upper channel: Mixed fill light: Ordinary monitoring: 80m Face capture: 15m;Lower channel: White light:Ordinary monitoring: 80m Face capture: 30mInfrared wavelength: 750nm |
| Dimension | 527.09 x 193.96 x 185.64 mm |
| Weight | 9.5kg |
4. Application
It can be applied to parallel entrances and exits of people and vehicles, street passages, road bayonet, county and township roads, common face capture scenes, railway stations, bus stations, airports, subways, shopping malls, supermarkets, hospitals, hotels, entertainment venues , Bank, etc. It is generally installed in the front position of the passage to ensure that the angle deflection of the human face, the human body, and the license plate will not be too large, and the traveling direction of the person and the car are basically the same.
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