Description
**Feature Highlights**
**Advanced Facial Recognition**
Utilizing sophisticated deep learning algorithms, the surveillance camera optimizes target face capture by detecting, grading, and selecting the best shots. The face exposure feature dynamically adjusts the exposure levels for the captured facial areas, ensuring superior image quality.
**Perimeter Security**
Equipped with advanced deep learning algorithms for target detection and classification, the camera excels in perimeter protection. It efficiently monitors activities such as line crossings, intrusions, and entry and exit of designated regions. These algorithms significantly reduce false alarms caused by environmental factors like foliage, lighting, animals, and flags.
**Diverse Target Detection**
Integrated deep learning algorithms enable the camera to proficiently detect and capture faces, human bodies, and vehicles within specified areas.
**Queue Management**
Leveraging embedded deep learning algorithms, the camera monitors the number of people in queues and their respective waiting times. It generates reports to evaluate the efficiency of various queues and track changes over time. Additionally, it supports raw data export for comprehensive analysis.
**Regional Crowd Counting**
With sophisticated deep learning capabilities, the camera detects people density and uploads data periodically, including changes in crowd size and congestion levels. It also identifies exceptions in crowd numbers and waiting times.
**Duty Detection**
The camera, harnessing deep learning technology, facilitates absence and on/off duty detection. It monitors duty status and personnel changes in predefined zones.
**Heat Mapping**
The camera can produce graphical depictions of visitor patterns, calculating either the number of individuals or their dwell times in configured areas.
**People Counting**
Employing deep learning algorithms, the camera integrates multiple intelligent features to count people and simultaneously send face alerts, supporting both access control and comprehensive people counting.
**Hard Hat Compliance**
Through embedded deep learning algorithms, the camera checks for hard hat usage within specified regions, issuing alerts if non-compliance is detected.

















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