• High quality imaging with 4 MP resolution
• Excellent low-light performance via DarkFighter technology
• Clear imaging against strong back light due to 140 dB WDR technology
• Efficient H.265+ compression technology to save bandwidth and storage
• 5 streams to meet a wide variety of applications
• Water and dust resistant (IP67) and vandal proof (IK10)
  Anti-IR reflection bubble guarantees image quality

Face Recognition:
With embedded deep learning based algorithms, the camera is able to give the best shot of a target face through detecting, capturing, grading and selecting. The camera uses face exposure function to dynamically adjust face area exposure of captures and ensures high face picture quality. Perimeter Protection:
With embedded deep learning based target detection and classification algorithms, the camera carries out the duty of perimeter protection, monitoring the actions of line crossing, intrusion, region entrance, and region exiting. The algorithms greatly filter out the mistaken alarm caused by the interference of leafs, lights, animal, flag, etc. Multi-Target-Type Detection:
With the embedded deep learning algorithms, the camera detects and captures the face, human body, vehicle in the specified region. Queue Management:
With embedded deep learning based algorithms, the camera detects queuing-up people number and waiting time of each person. It can generate reports to compare the efficiency of different queuing-ups and display the changing status of one queue, and supports raw data export for further analysis. Regional People Counting:
With the embedded deep learning algorithms, the camera supports people density detection and will upload detection data through scheduled uploading, number of people change uploading and congestion level uploading. It also supports number of people exception detection and waiting time exception detection. On/Off Duty Detection:
With the embedded deep learning algorithms, the camera supports absence detection and on/off duty detection. It can detect the on/off duty status and people number changes in a predefined area. Heat Map:
The camera can generate a graphic description of visits (by calculating amount of people or amount of dwell time) in a configured area. People Counting:
With the embedded deep learning algorithms, the camera integrates multiple intelligences. It counts persons and reports a face alarm simultaneously to achieve both the entrance control and people counting. Hard Hat Detection:
With the embedded deep learning algorithms, the camera detects the persons in the specified region. It detects whether the person is wearing a hard hat, and reports an alarm if not.

• High quality imaging with 4 MP resolution
• Excellent low-light performance via DarkfighterS technology
• Efficient H.265+ compression technology to save bandwidth and storage
• Clear imaging against strong back light due to 140 dB true WDR technology
• 5 streams to meet a wide variety of applications
• Water and dust resistant (IP67) and vandal proof (IK10)
• Unique PTRZ capability for efficient installation

Hikvision has been dedicated to develop products with security since established. Hikvision always follows security by design principle and has adopted many methods of security technologies into our product development lifecycle, including terminal security, data security, application security, network security, and privacy protection. In the meantime, the security technologies used by Hikvision are all in compliance with local applicable laws and safety regulations. These security measures could enhance product's cyber security defense capability and protect your devices as well as your data from malicious cyber attacks. Face Capture
With embedded deep learning based algorithms, the camera is able to give the best shot of a target face through detecting, capturing, grading and selecting. The camera uses face exposure function to dynamically adjust face area exposure of captures and ensures high face picture quality. Perimeter Protection:
With embedded deep learning based target detection and classification algorithms, the camera carries out the duty of perimeter protection, monitoring the actions of line crossing, intrusion, region entrance, and region exiting. The algorithms greatly filter out the mistaken alarm caused by the interference of leafs, lights, animal, flag, etc. Multi-Target-Type Detection With the embedded deep learning algorithms, the camera detects and captures the face, human body, vehicle in the specified region. Queue Management:
With embedded deep learning based algorithms, the camera detects queuing-up people number and waiting time of each person. It can generate reports to compare the efficiency of different queuing-ups and display the changing status of one queue, and supports raw data export for further analysis. On/Off Duty Detection:
With the embedded deep learning algorithms, the camera supports absence detection and on/off duty detection. It can detect the on/off duty status and people number changes in a predefined area. Heat Map:
The camera can generate a graphic description of visits (by calculating amount of people or amount of dwell time) in a configured area. Multi-Dimension:
People Counting With the embedded deep learning algorithms, the camera integrates multiple intelligences. It counts persons and compares them with the built-in face picture library to remove duplicates. It counts persons and reports an alarm simultaneously to achieve both the entrance control and people counting. Hard Hat Detection:
With the embedded deep learning algorithms, the camera detects the persons in the specified region. It detects whether the person is wearing a hard hat, and reports an alarm if not.

• High quality imaging with 8 MP resolution
• Excellent low-light performance via DarkfighterS technology
• Efficient H.265+ compression technology to save bandwidth and storage
• Clear imaging against strong back light due to 120 dB true WDR technology
• 5 streams to meet a wide variety of applications
• Water and dust resistant (IP67) and vandal proof (IK10)
• Unique PTRZ capability for efficient installation

Hikvision has been dedicated to develop products with security since established. Hikvision always follows security by design principle and has adopted many methods of security technologies into our product development lifecycle, including terminal security, data security, application security, network security, and privacy protection. In the meantime, the security technologies used by Hikvision are all in compliance with local applicable laws and safety regulations. These security measures could enhance product's cyber security defense capability and protect your devices as well as your data from malicious cyber attacks. Face Capture
With embedded deep learning based algorithms, the camera is able to give the best shot of a target face through detecting, capturing, grading and selecting. The camera uses face exposure function to dynamically adjust face area exposure of captures and ensures high face picture quality. Perimeter Protection:
With embedded deep learning based target detection and classification algorithms, the camera carries out the duty of perimeter protection, monitoring the actions of line crossing, intrusion, region entrance, and region exiting. The algorithms greatly filter out the mistaken alarm caused by the interference of leafs, lights, animal, flag, etc. Multi-Target-Type Detection With the embedded deep learning algorithms, the camera detects and captures the face, human body, vehicle in the specified region. Queue Management:
With embedded deep learning based algorithms, the camera detects queuing-up people number and waiting time of each person. It can generate reports to compare the efficiency of different queuing-ups and display the changing status of one queue, and supports raw data export for further analysis. On/Off Duty Detection:
With the embedded deep learning algorithms, the camera supports absence detection and on/off duty detection. It can detect the on/off duty status and people number changes in a predefined area. Heat Map:
The camera can generate a graphic description of visits (by calculating amount of people or amount of dwell time) in a configured area. Multi-Dimension:
People Counting With the embedded deep learning algorithms, the camera integrates multiple intelligences. It counts persons and compares them with the built-in face picture library to remove duplicates. It counts persons and reports an alarm simultaneously to achieve both the entrance control and people counting. Hard Hat Detection:
With the embedded deep learning algorithms, the camera detects the persons in the specified region. It detects whether the person is wearing a hard hat, and reports an alarm if not.

• High quality imaging with 2 MP resolution
• Excellent low-light performance via DarkFighter technology
• Clear imaging against strong back light due to 140 dB WDR technology
• License Plate Recognition
• Efficient H.265+ compression technology to save bandwidth and storage
• 5 streams to meet a wide variety of applications
• Water and dust resistant (IP67) and vandal proof (IK10)

Road Traffic and Vehicle Detection:
With embedded deep learning based license plate capture and recognition algorithms, the camera alone can achieve plate capture and recognition. The algorithm enjoys the high recognition accuracy of common plates and complex-structured plates, which is a great step forward comparing to traditional algorithms. Blocklist and allowlist are available for plate categorization and separate alarm triggering.

• DeepinView
• High quality imaging with 4 MP resolution
• Excellent low-light performance via DarkFighter technology
• Clear imaging against strong back light due to 140 dB WDR technology
• License Plate Recognition
• Efficient H.265+ compression technology to save bandwidth and storage
• 5 streams to meet a wide variety of applications
• Water and dust resistant (IP67) and vandal proof (IK10)

Road Traffic and Vehicle Detection:
With embedded deep learning based license plate capture and recognition algorithms, the camera alone can achieve plate capture and recognition. The algorithm enjoys the high recognition accuracy of common plates and complex-structured plates, which is a great step forward comparing to traditional algorithms. Blocklist and allowlist are available for plate categorization and separate alarm triggering.

• High quality imaging with 8 MP resolution
• Excellent low-light performance via DarkFighter technology
• Clear imaging against strong back light due to 120 dB true WDR technology
• Efficient H.265+ compression technology to save bandwidth and storage
• 5 streams to meet a wide variety of applications
• Water and dust resistant (IP67) and vandal proof (IK10)

Face Recognition:
With embedded deep learning based algorithms, the camera is able to give the best shot of a target face through detecting, capturing, grading and selecting. The camera uses face exposure function to dynamically adjust face area exposure of captures and ensures high face picture quality. Perimeter Protection:
With embedded deep learning based target detection and classification algorithms, the camera carries out the duty of perimeter protection, monitoring the actions of line crossing, intrusion, region entrance, and region exiting. The algorithms greatly filter out the mistaken alarm caused by the interference of leafs, lights, animal, flag, etc. Multi-Target-Type Detection:
With the embedded deep learning algorithms, the camera detects and captures the face, human body, vehicle in the specified region. Queue Management:
With embedded deep learning based algorithms, the camera detects queuing-up people number and waiting time of each person. It can generate reports to compare the efficiency of different queuing-ups and display the changing status of one queue, and supports raw data export for further analysis. Regional People Counting:
With the embedded deep learning algorithms, the camera supports people density detection and will upload detection data through scheduled uploading, number of people change uploading and congestion level uploading. It also supports number of people exception detection and waiting time exception detection. On/Off Duty Detection:
With the embedded deep learning algorithms, the camera supports absence detection and on/off duty detection. It can detect the on/off duty status and people number changes in a predefined area. Heat Map:
The camera can generate a graphic description of visits (by calculating amount of people or amount of dwell time) in a configured area. People Counting:
With the embedded deep learning algorithms, the camera integrates multiple intelligences. It counts persons and reports a face alarm simultaneously to achieve both the entrance control and people counting. Hard Hat Detection:
With the embedded deep learning algorithms, the camera detects the persons in the specified region. It detects whether the person is wearing a hard hat, and reports an alarm if not.