• Up to 1920*1080 @ 60 fps for real-time HD image  output with H.264 high profile encoding
• Progressive scan CMOS with smooth and fluent capture for moving object
• ROI and SVC are adopted with high compression ratio, flexible disposure and low bitrate
• Support WDR up to 120dB and 3D DNR
• Built-in Micro SD/SDHC/SDXC slot, up to 128 GB
• Support true day and night surveillance with an auto ICR switch and two sets of configurable parameters
• Support high efficiency infrared light with long lifespan, IR distance up to 10-30 meters
• Support three-axis adjustment function and local analog output, easy for installation adjustment
• Support motorized zoom lens
• Supports intelligent auxiliary heating (-H optional)
• Smooth stream configuration adjusting to different requirements for image quality & fluency
• Support three simultaneous stream output and
• record ;dual HD stream set with different resolution, frame rate and bit rate independently; 20 simultaneous access and mobile monitoring supported
• Support Defog, EIS, White Balance
• Support BLC, Auto Electronic Shutter, Auto Iris, Slow Shutter, Rotate Mode
• Support Line Crossing Detection, Scene Change Detection, Intrusion Detection, Audio Exception Detection, Defocus Detection, Motion Detection, Face Detection, Region Entrance/ Exiting Detection, Loitering Detection, Rapid Motion Detection , Unattended Baggage/Object Removal Detection ,Object Counting, etc.
• Fully functional: Picture Overlay, Anonymous Access, IP Address Filtering, Heartbeat, Mirror , PTZ Control, Alarm, One-key Recovery
• Support NAS, Email, FTP, NTP server test
• Support HTTPS, SSH security authentication, establish certificate
• Lock user IP for many times error login
• Support basic and digest authentication for web security
• Support password  complexity hint
• 316 or 316L stainless steel anti-corrosion materials design
• WF2, C5-M anti-corrosion standards avoid acidic and NSS (neutral salt spray )corrosion
• IP67 waterproof and dustproof for wet and watery environment
• Support GB/T19845-2005 standard particular on vibration of ship equipment  and machine component

• 640 × 512 resolution sensor, high sensitivity sensor, support contrast adjustment
• Shutter adjustment in various modes
• 3D DNR, 15 palettes of color adjustable, image detail enhancement

  Smart Function (Thermal Imaging):

• Leading image processing technology: Adaptive AGC, DDE, 3D DNR, NETD less than 40 mk (0.04°C), F#=1.0
• Powerful behavior analysis function, based on deep learning algorithm: Line crossing, Intrusion, Region Entrance & Exit
• Reliable temperature exception alarm function
• Advanced fire detection algorithm

  Hikvision DS-2TD2466-25(50)Y Anti-corrosion Thermal Network Bullet Camera is applied to perimeter defense and fireprevention purposes in critical infrastructures such as: airport, railway, prison, power station, 4S stores, and so on. With the vanadium oxide uncooled focal plane sensor, it enhances the thermal image quality. It adopts 316L stainless steel material to meet the requirements of used in anti-corrosion environment.

• 640 × 512 resolution sensor, high sensitivity sensor, support contrast adjustment
• Shutter adjustment in various modes
• 3D DNR, 15 palettes of color adjustable, image detail enhancement

  Smart Function (Thermal Imaging):

• Leading image processing technology: Adaptive AGC, DDE, 3D DNR, NETD less than 40 mk (0.04°C), F#=1.0
• Powerful behavior analysis function, based on deep learning algorithm: Line crossing, Intrusion, Region Entrance & Exit
• Reliable temperature exception alarm function
• Advanced fire detection algorithm

  Hikvision DS-2TD2466-25(50)Y Anti-corrosion Thermal Network Bullet Camera is applied to perimeter defense and fireprevention purposes in critical infrastructures such as: airport, railway, prison, power station, 4S stores, and so on. With the vanadium oxide uncooled focal plane sensor, it enhances the thermal image quality. It adopts 316L stainless steel material to meet the requirements of used in anti-corrosion environment.

• Behavior analysis function, based on deep learning algorithm: line crossing, intrusion, region entrance and exit
• Temperature exception alarm for fire prevention
• Fire detection algorithm
• 384 x 288 resolution 17 μm, VOx UFPA, NETD ≤ 35 mK (25°C, F# = 1.0)
• Image processing technology: Linear, histogram, and self-adaptive thermal AGC mode, DDE, 3D DNR
• NEMA-4X Standard

Hikvision DS-2TD2137-4/PY Anti-corrosion Thermal Network Bullet Camera is applied to perimeter defense and
fire-prevention purposes in scenes such as: port, dock, island, tunnel, humid environment, and so on. With the
vanadium oxide uncooled focal plane sensor, it enhances the thermal image quality. The coating technology can meet the use requirements in anti-corrosion environment.

• Behavior analysis function, based on deep learning algorithm: line crossing, intrusion, region entrance and exit
• Temperature exception alarm for fire prevention
• Fire detection algorithm
• 384 x 288 resolution 17 μm, VOx UFPA, NETD ≤ 35 mK (25°C, F# = 1.0)
• Image processing technology: Linear, histogram, and self-adaptive thermal AGC mode, DDE, 3D DNR
• NEMA-4X Standard

Hikvision DS-2TD2137-7/PY Anti-corrosion Thermal Network Bullet Camera is applied to perimeter defense and
fire-prevention purposes in scenes such as: port, dock, island, tunnel, humid environment, and so on. With the
vanadium oxide uncooled focal plane sensor, it enhances the thermal image quality. The coating technology can meet the use requirements in anti-corrosion environment.

• Behavior analysis function, based on deep learning algorithm: line crossing, intrusion, region entrance and exit
• Temperature exception alarm for fire prevention
• Fire detection algorithm
• 384 x 288 resolution 17 μm, VOx UFPA, NETD ≤ 35 mK (25°C, F# = 1.0)
• Image processing technology: Linear, histogram, and self-adaptive thermal AGC mode, DDE, 3D DNR
• NEMA-4X Standard

Hikvision DS-2TD2137-10/PY Anti-corrosion Thermal Network Bullet Camera is applied to perimeter defense and
fire-prevention purposes in scenes such as: port, dock, island, tunnel, humid environment, and so on. With the
vanadium oxide uncooled focal plane sensor, it enhances the thermal image quality. The coating technology can meet the use requirements in anti-corrosion environment.

• Behavior analysis function, based on deep learning algorithm: line crossing, intrusion, region entrance and exit
• Temperature exception alarm for fire prevention
• Fire detection algorithm
• 384 x 288 resolution 17 μm, VOx UFPA, NETD ≤ 35 mK (25°C, F# = 1.0)
• Image processing technology: Linear, histogram, and self-adaptive thermal AGC mode, DDE, 3D DNR
• NEMA-4X Standard

Hikvision DS-2TD2137-15/PY Anti-corrosion Thermal Network Bullet Camera is applied to perimeter defense and
fire-prevention purposes in scenes such as: port, dock, island, tunnel, humid environment, and so on. With the
vanadium oxide uncooled focal plane sensor, it enhances the thermal image quality. The coating technology can meet the use requirements in anti-corrosion environment.

• Behavior analysis function, based on deep learning algorithm: line crossing, intrusion, region entrance and exit
• Temperature exception alarm for fire prevention
• Fire detection algorithm
• 384 x 288 resolution 17 μm, VOx UFPA, NETD ≤ 35 mK (25°C, F# = 1.0)
• Image processing technology: Linear, histogram, and self-adaptive thermal AGC mode, DDE, 3D DNR
• NEMA-4X Standard

Hikvision DS-2TD2137-25/PY Anti-corrosion Thermal Network Bullet Camera is applied to perimeter defense and
fire-prevention purposes in scenes such as: port, dock, island, tunnel, humid environment, and so on. With the
vanadium oxide uncooled focal plane sensor, it enhances the thermal image quality. The coating technology can meet the use requirements in anti-corrosion environment.

• Behavior analysis function, based on deep learning algorithm: line crossing, intrusion, region entrance and exit
• Temperature exception alarm for fire prevention
• Fire detection algorithm
• 384 x 288 resolution 17 μm, VOx UFPA, NETD ≤ 35 mK (25°C, F# = 1.0)
• Image processing technology: Linear, histogram, and self-adaptive thermal AGC mode, DDE, 3D DNR
• NEMA-4X Standard

Hikvision DS-2TD2137-35/PY Anti-corrosion Thermal Network Bullet Camera is applied to perimeter defense and
fire-prevention purposes in scenes such as: port, dock, island, tunnel, humid environment, and so on. With the
vanadium oxide uncooled focal plane sensor, it enhances the thermal image quality. The coating technology can meet the use requirements in anti-corrosion environment.

• Anti-Corrosion: NEMA 4X
• 1/1.8" Progressive Scan CMOS
• 1920 x 1080 @ 60fps
• 2.8 to 12 mm motor-driven lens
• Color: 0.002 Lux @ (F1.2, AGC ON)
• H.265, H.265+, H.264, H.264+
• 140dB WDR
• 3D DNR
• 2.8 to 12 mm lens: IR range up to 30 m
• Five streams and up to five custom streams
• 6 behavior analyses, 3 exception detection, and face detection
• Built-in microSD/SDHC/SDXC card slot, up to 256 GB
• Alarm I/O
• IP67, IK10
• Anti-IR reflection

   

• High quality imaging with 8 MP resolution
• Efficient H.265+ compression technology
• Clear imaging against strong back light due to 120 dB true WDR technology
• Focus on human and vehicle targets classification based on deep learning
• Motorized varifocal lens for easy installation and monitoring
• Audio and alarm interface available
• Water and dust resistant (IP67) and vandal-resistant (IK10)
• Anti-Corrosion - NEMA 4X: NEMA 250-2014

Empowered by deep learning algorithms, Hikvision AcuSense technology brings human and vehicle targets classification alarms to front- and back-end devices. The system focuses on human and vehicle targets, vastly improving alarm efficiency and effectiveness.

• High quality imaging with 4 MP resolution
• Efficient H.265+ compression technology to save bandwidth and storage
• Clear imaging against strong back light due to 120 dB true WDR technology
• 3D DNR technology delivers clean and sharp images
• Water and dust resistant (IP67) and vandal resistant (IK10+)

• High quality imaging with 4 MP resolution in channel 1 and
  4 MP resolution in channel 2
• Adopt dual-channel design so you can get details in channel 1 and panorama view in channel 2
• Excellent low-light performance via DarkFighter and ColorVu 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)

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 Recognition:
With the embedded deep learning algorithms, the camera detects and captures the face, human body, vehicle in the specified region. 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 2 MP resolution
• Excellent low-light performance with DarkFighter technology
• Focus on human and vehicle targets classification based on deep learning
• Efficient H.265+ compression technology
• Clear imaging against strong back light due to 140 dB WDR technology
• Audio and alarm interface available
• Water and dust resistant (IP67) and vandal-resistant (IK10)
• Anti-Corrosion: NEMA 4X: NEMA 250-2014
• Motorized varifocal lens for easy installation and monitoring

Empowered by deep learning algorithms, Hikvision AcuSense technology brings human and vehicle targets classification alarms to front- and back-end devices. The system focuses on human and vehicle targets, vastly improving alarm efficiency and effectiveness.

• High quality imaging with 4 MP resolution
• Excellent low-light performance with DarkFighter technology
• Efficient H.265+ compression technology
• Clear imaging against strong back light due to 140 dB WDR technology
• False alarm reduction through human and vehicle target classification based on deep learning
• Audio and alarm interface available
• Water and dust resistant (IP67) and vandal-resistant (IK10)
• Anti-Corrosion - NEMA 4X: NEMA 250-2014
• Motorized varifocal lens for easy installation and monitoring

Empowered by deep learning algorithms, Hikvision AcuSense technology brings human or vehicle target classification alarms to front- and back-end devices. The system can greatly reduce false alarms generated by targets other than humans or vehicles, vastly improving alarm efficiency and effectiveness.

• High quality imaging with 2 MP resolution
• Efficient H.265+ compression technology
• Motorized varifocal lens for easy installation and monitoring
• Anti-IR Reflection
• Excellent low-light performance with DarkFighter technology
• False alarm reduction through human and vehicle target classification based on deep learning
• Clear imaging against strong backlight due to 140 dB WDR technology
• Audio and alarm interface available
• Water and dust resistant (IP67) and vandal-resistant (IK10)

Empowered by deep learning algorithms, Hikvision AcuSense technology brings human or vehicle target classification alarms to front- and back-end devices. The system can greatly reduce false alarms generated by targets other than humans or vehicles, vastly improving alarm efficiency and effectiveness.

• High quality imaging with 2 MP resolution
• Efficient H.265+ compression technology
• Anti-IR Reflection
• Excellent low-light performance with DarkFighter technology
• False alarm reduction through human and vehicle target classification based on deep learning
• Clear imaging against strong backlight due to 140 dB WDR technology
• Audio and alarm interface available
• Water and dust resistant (IP67) and vandal-resistant (IK10)
• Anti-Corrosion - NEMA 4X: NEMA 250-2014

Empowered by deep learning algorithms, Hikvision AcuSense technology brings human or vehicle target classification alarms to front- and back-end devices. The system can greatly reduce false alarms generated by targets other than humans or vehicles, vastly improving alarm efficiency and effectiveness.

• High quality imaging with 4 MP resolution
• Efficient H.265+ compression technology
• Clear imaging against strong backlight due to 140 dB WDR technology
• Motorized varifocal lens for easy installation and monitoring
• Excellent low-light performance with DarkFighter technology
• False alarm reduction through human and vehicle target classification based on deep learning
• Anti-IR Reflection
• Audio and alarm interface available
• Water and dust resistant (IP67) and vandal-resistant (IK10)

Empowered by deep learning algorithms, Hikvision AcuSense technology brings human or vehicle target classification alarms to front- and back-end devices. The system can greatly reduce false alarms generated by targets other than humans or vehicles, vastly improving alarm efficiency and effectiveness.

• High quality imaging with 4 MP resolution
• Efficient H.265+ compression technology
• Anti-IR Reflection
• Motorized varifocal lens for easy installation and monitoring
• False alarm reduction through human and vehicle target classification based on deep learning
• Clear imaging against strong backlight due to 140 dB WDR technology
• Audio and alarm interface available
• Water and dust resistant (IP67) and vandal-resistant (IK10)
• Anti-Corrosion - NEMA 4X: NEMA 250-2014

Empowered by deep learning algorithms, Hikvision AcuSense technology brings human or vehicle target classification alarms to front- and back-end devices. The system can greatly reduce false alarms generated by targets other than humans or vehicles, vastly improving alarm efficiency and effectiveness.

• High quality imaging with 8 MP resolution
• Anti-IR Reflection
• Clear imaging against strong back light due to 120 dB true WDR technology
• Motorized varifocal lens for easy installation and monitoring
• False alarm reduction through human and vehicle target classification based on deep learning
• Efficient H.265+ compression technology
• Audio and alarm interface available
• Water and dust resistant (IP67) and vandal-resistant (IK10)

Empowered by deep learning algorithms, Hikvision AcuSense technology brings human or vehicle target classification alarms to front- and back-end devices. The system can greatly reduce false alarms generated by targets other than humans or vehicles, vastly improving alarm efficiency and effectiveness.

• 1/1.8” Progressive Scan CMOS
• 3840 x 2160 @ 30fps, MJPEG up to 1920 x 1080 @ 30 fps
• 2.8 to 12 mm motor-driven lens
• Color: 0.007 Lux @ (F1.2, AGC ON)
• H.265, H.265+, H.264, H.264+
• 120dB WDR
• 3D DNR
• IR range up to 30 m
• Five streams and up to five custom streams
• 6 behavior analyses, 3 exception detection, and face detection
• Built-in microSD/SDHC/SDXC card slot, up to 256 GB
• Alarm I/O
• IP67, IK10

   

• 384 x 288 resolution, 12 μm, VOx UFPA, NETD < 35 mK (25°C, F1.0)
• Temperature exception alarm for fire prevention, -20°C to 150°C (-4°F to 302°F), ± 8°C (± 14.4°F)
• Image processing technology: linear, histogram, self-adaptive thermal AGC mode, DDE, 3D DNR
• High quality detector with 10 years guarantee

Hikvision DS-2TD2138-10/QY Anti-Corrosion Thermal Network Bullet Camera is applied to perimeter defense and fire-prevention purposes in critical infrastructures such as: airport, railway, prison, power station, 4S stores, and so on. With the vanadium oxide uncooled focal plane sensor, it enhances the thermal image quality. It adopts anti-corrosion coating to meet the requirements of used in anti-corrosion environment.

• U p to 4 megapixel high resolution
• 1 20dB Wide Dynamic Range
• Three video streams
• H .265, H.265+, H.264, H.264+
• 6  behavior analyses, 2 exception detections, 1  recognition
• Support on-board storage, up to 128GB
• IR range: 10 m
• DC 12V/PoE
• Anti-Corrosion Standard: WF-2, NEMA 4X, C5-M
• IP67

• DeepinView Series
• 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
• 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,
tracking, capturing, grading and selecting. The camera captures the face and outputs the features, such as gender, age, and
expression.
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 Recognition:
With the embedded deep learning algorithms, the camera detects and captures the face, human body, vehicle in the
specified region and outputs the features, such as gender, age, top color, and vehicle type.

• 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.

• 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
• Efficient H.265+ compression technology to save bandwidth and storage
• Advanced streaming technology that enables smooth live view and data self-correcting in poor network
• 5 streams and up to 5 custom 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 Counting:
With the embedded deep learning algorithms, the camera integrates multiple intelligences. It counts persons and samples the face features simultaneously, and compares them with the built-in face library, so to remove the duplicated person. 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 captures the head of the person and reports an alarm if not. Multi-Target-Type Detection:
With the embedded deep learning algorithms, the camera detects and captures the face and human body in the specified region and outputs the features, such as gender, age and top color. It supports a structurized modeling of the face and human body to achieve a structurized data collection. Queue Management:
With embedded deep learning based algorithms, the camera detects queuing-up people number and waiting time of each person. The body feature detection algorithm helps filter out wrong targets and increase the accuracy of detection. Metadata:
Metadata uses individual instances of application data or the data content. Metadata can be used for third-party application development. Smooth Streaming:
Smooth streaming offers solutions to improve the video quality in different network conditions. For example, in poor network conditions, adapting to the detected real-time network condition, streaming bit rate and resolution are automatically adjusted to avoid mosaic and lower latency in live view; in multiplayer network conditions, the camera transmits the redundant data for the self-error correcting in back-end device, so that to solve the mosaic problem because of the packet loss and error rate. Anti-Corrosion Coating(-Y):
The camera adopts high weatherproof and wearproof molding powder that confirms to AAMA2604-02 and Qualicoat (Class2) specifications, and uses two-layer special spraying technology, so its surface has excellent long-term anti-corrosion performance and physical protection function. Besides, all the exposed screws use SUS316 material and features high anti-corrosion performance. Therefore, the whole camera meets anti-corrosion requirements NEMA 250-2018. 

• DeepinView
• High quality imaging with 8 MP resolution
• Clear imaging against strong back light due to 120 dB true WDR technology
• Efficient H.265+ compression technology to save bandwidth and storage
• Advanced streaming technology that enables smooth live view and data self-correcting in poor network
• 5 streams and up to 5 custom 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 Counting:
With the embedded deep learning algorithms, the camera integrates multiple intelligences. It counts persons and samples the face features simultaneously, and compares them with the built-in face library, so to remove the duplicated person. 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 captures the head of the person and reports an alarm if not. Multi-Target-Type Detection:
With the embedded deep learning algorithms, the camera detects and captures the face and human body in the specified region and outputs the features, such as gender, age and top color. It supports a structurized modeling of the face and human body to achieve a structurized data collection. Queue Management:
With embedded deep learning based algorithms, the camera detects queuing-up people number and waiting time of each person. The body feature detection algorithm helps filter out wrong targets and increase the accuracy of detection. Metadata:
Metadata uses individual instances of application data or the data content. Metadata can be used for third-party application development. Smooth Streaming:
Smooth streaming offers solutions to improve the video quality in different network conditions. For example, in poor network conditions, adapting to the detected real-time network condition, streaming bit rate and resolution are automatically adjusted to avoid mosaic and lower latency in live view; in multiplayer network conditions, the camera transmits the redundant data for the self-error correcting in back-end device, so that to solve the mosaic problem because of the packet loss and error rate. Anti-Corrosion Coating(-Y):
The camera adopts high weatherproof and wearproof molding powder that confirms to AAMA2604-02 and Qualicoat (Class2) specifications, and uses two-layer special spraying technology, so its surface has excellent long-term anti-corrosion performance and physical protection function. Besides, all the exposed screws use SUS316 material and features high anti-corrosion performance. Therefore, the whole camera meets anti-corrosion requirements NEMA 250-2018.

• DeepinView Series
• High quality imaging with 12 MP resolution
• Clear imaging against strong back light due to DWDR technology
• Efficient H.265+ compression technology to save bandwidth and storage
• Advanced streaming technology that enables smooth live view and data self-correcting in poor network
• 5 streams and up to 5 custom 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 Counting:
With the embedded deep learning algorithms, the camera integrates multiple intelligences. It counts persons and samples the face features simultaneously, and compares them with the built-in face library, so to remove the duplicated person. 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 captures the head of the person and reports an alarm if not. Multi-Target-Type Detection:
With the embedded deep learning algorithms, the camera detects and captures the face and human body in the specified region and outputs the features, such as gender, age and top color. It supports a structurized modeling of the face and human body to achieve a structurized data collection. Queue Management:
With embedded deep learning based algorithms, the camera detects queuing-up people number and waiting time of each person. The body feature detection algorithm helps filter out wrong targets and increase the accuracy of detection. Metadata:
Metadata uses individual instances of application data or the data content. Metadata can be used for third-party application development. Smooth Streaming:
Smooth streaming offers solutions to improve the video quality in different network conditions. For example, in poor network conditions, adapting to the detected real-time network condition, streaming bit rate and resolution are automatically adjusted to avoid mosaic and lower latency in live view; in multiplayer network conditions, the camera transmits the redundant data for the self-error correcting in back-end device, so that to solve the mosaic problem because of the packet loss and error rate. Anti-Corrosion Coating(-Y):
The camera adopts high weatherproof and wearproof molding powder that confirms to AAMA2604-02 and Qualicoat (Class2) specifications, and uses two-layer special spraying technology, so its surface has excellent long-term anti-corrosion performance and physical protection function. Besides, all the exposed screws use SUS316 material and features high anti-corrosion performance. Therefore, the whole camera meets anti-corrosion requirements NEMA 250-2018.

• DeepinView Series
• 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
• 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, tracking, capturing, grading and selecting. The camera captures the face and outputs the features, such as gender, age, and expression. 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 Recognition:
With the embedded deep learning algorithms, the camera detects and captures the face, human body, vehicle in the
specified region and outputs the features, such as gender, age, top color, and vehicle type.

• 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.