Description
Hikvision has consistently prioritized cybersecurity since its inception, adhering to the security-by-design principle. The company integrates a range of security technologies throughout the product development lifecycle, including endpoint security, data protection, application security, network protection, and privacy safeguards. These technologies are aligned with local legal and regulatory standards, significantly enhancing the cybersecurity resilience of products to shield devices and data from cyber threats.
**Function | Face Capture**
Leveraging embedded deep learning algorithms, the camera excels in detecting, capturing, grading, and selecting optimal shots of target faces. Its face exposure function automatically adjusts the exposure of facial areas, ensuring superior image quality.
**Perimeter Protection**
The camera utilizes advanced deep learning-based target detection and classification algorithms to deliver robust perimeter protection. It effectively monitors activities such as line crossing, intrusion detection, region entry, and region exiting while minimizing false alarms caused by external factors like leaves, lights, animals, and flags.
**Multi-Target-Type Detection**
Equipped with embedded deep learning algorithms, the camera identifies and captures faces, human bodies, and vehicles within designated areas.
**Queue Management**
The camera employs deep learning algorithms to monitor the number of people queuing and their wait times. It generates comprehensive reports comparing different queue efficiencies and tracks queue dynamics, offering raw data export for further analysis.
**Regional People Counting**
Utilizing embedded deep learning algorithms, the camera detects people density and facilitates data uploads related to detection scheduling, changes in the number of people, and congestion levels. It also supports exceptions in people count and wait time detection.
**On/Off Duty Detection**
Deep learning algorithms enable the camera to monitor absence and on/off duty status. It can analyze variations in the number of people within a specified area.
**Heat Map**
The camera generates a visual heatmap representing visitor patterns (quantified by either the number of people or dwell time) within a defined space.
**Multi-Dimension People Counting**
Integrating multiple intelligent features through deep learning algorithms, the camera counts individuals, cross-references with a built-in face library to eliminate duplicates, and simultaneously reports alarms, offering both access control and people counting functionalities.
**Hard Hat Detection**
Through deep learning algorithms, the camera identifies individuals within a specified area, checking for hard hat compliance and triggering alarms if not detected.
