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Huawei M1221-F is an intelligent camera for face image checkpoints, helping to build a face image system with accurate recognition, fast snapshot, high efficiency, and stability.
Face detection and snapshot is mainly based on computer vision, integrating multiple technologies, such as image processing, pattern recognition, and deep learning. It can analyze massive numbers of videos in real time, filter out useless data, and extract valuable information.
The dynamic face image algorithm designed for densely populated scenes is used to detect, track, and optimize dynamic face images for the optimal snapshots.
It accurately captures dynamic face images in densely populated scenes, entrances and exits, facilitating the transformation of public security, commercial, and judicial industries towards intelligent systems.
Based on its strong deep learning algorithm, Huawei camera unprecedentedly uses multidimensional feature recognition and negative sample learning, and features face detection in complex scenarios such as wearing glasses or mouth masks, partial face blocking, strong backlight, and incorrect facial angle.
Select the optimal snapshot based on the facial detection and tracking algorithm of feature comparison and a number of factors such as angle, definition, and illumination. This greatly reduces the number of repeated snapshots and saves on storage and computing resources.
Adjust exposure parameters in real time based on the ambient light to optimize the image quality of snapshots and improve the recognition accuracy at the backend.
With its unique solution advantages, the M1221-F camera for capturing face images reduces workloads of cloud video decoding and face detection, greatly saving analysis resources and enabling the cloud to process more cameras simultaneously. As a front-end facial collection device, it is widely used in the dynamic face recognition system.
The M1221-F camera for capturing face images can collect dynamic pedestrian flow with high density. It is applicable to high-speed railway stations, airport security check passages, and subway entrances and exits, facilitating rail transit operation and security management.
The M1221-F camera for capturing face images can reduce costs and increase efficiency for enterprises using device-cloud synergy in campus scenarios. It is applicable to scenarios such as enterprise’s campus, campus management, and supermarket chains.
|Image Sensor||1/1.8-inch 2.0-megapixel progressive scan CMOS|
|Maximum Resolution||1,920 (H) x 1,080 (V)|
|Minimum Light||Color: 0.0004 lux
B/W: 0.0001 lux
|Intelligent Analysis||Behavior analysis: Fast-moving object detection, abandoned object detection, removed object detection, cross line detection, intrusion detection, area enter/exit detection, loitering detection, and crowd gathering.
Abnormal detection: Image quality diagnosis, audio existence detection, abrupt audio increase or decrease detection, scene change detection, and defocus detection.
|Dedicated Algorithm||Face image snapshot: Detect, track, and select dynamic face images, and generate optimal face images.
Face image exposure: Supported
|Power Supply||12V DC ±25%, 24V AC ±25%, PoE|
|Lightning Protection||Protects up to 6 kV surge|
|Operating Temperature||-30℃ to +60℃|