Dahua Technology Starlight IR AI NPS
Dahua Technology Starlight IR AI NPS

AI series products adopt the most advanced AI technologies, including deep learning algorithms that primarily target people and vehicles, which provides higher flexibility and accuracy for end-users. This enables Dahua AI-series to offer various advanced applications such as Face Recognition, ANPR, Metadata, People Counting, traffic data statistics, etc. The complete lineup of Dahua AI includes network (PTZ) cameras, network video recorders, servers, and more devices. Beyond seeing the world, the power of AI allows devices to perceive the environment and understand the world in a better way. System overview With CNN algorithm, Dahua AI positioning system supports intelligent functions like tripwire and intrusion; and supports video metadata function that recognises motor vehicle, non-motor vehicle, and human to analyse their detailed information. With PFA algorithm, the speed dom e can get clear images all the time during zooming. Together with infra red illumination and Starlight technology, the camera is the perfect solu tion for dark, lowlight applications. Perimeter protection Automatically filtering out false alarms caused by animals, rustling leaves, bright lights, etc. Enables system to at secondary recognition for the targets. Improving alarm accuracy. Starlight technology For challenging low-light applications, Dahua’s Starlight Ultra-low Llight Technology offers best-in-class sensitivity, capturing colour details in low light down to 0.001 lux. PFA technology PFA technology has innovatively introduced new methods of judgement to ensure the accuracy and predictability of the direction of subject distance adjustment. The result is a set of advanced focusing algorithms. PFA ensures clarity of the image throughout the process of zooming and shortens focus time. Environmental Dahua cameras operate in extreme temperature environments, rated for use in temperatures from -40 °C to +70 °C (-40 °F to +158 °F) with 95% humidity. Subjected to rigorous dust and water immersion tests and certified to the IP67 Ingress Protection rating makes it suitable for demanding outdoor applications. Protection The camera allows for ±25% input voltage tolerance, suitable for the most unsuitable conditions for outdoor applications. Interoperability  The camera conforms to the ONVIF (Open Network Video Interface Forum) specifications, ensuring interoperability between network video products regardless of manufacturer.  Wide dynamic range The camera achieves vivid images, even in the most intense contrast lighting conditions, using industry-leading wide dynamic range (WDR) technology.  Auto-tracking This feature controls the pan/tilt/zoom actions of the camera to automatically track an object in motion and to keep it in the scene. Smart H.265+ Smart H.265+ is the optimised implementation of H.265 codec that uses a scene-adaptive encoding strategy, dynamic GOP, dynamic ROI, flexible multi-frame reference structure and intelligent noise reduction to deliver high quality video without straining the network.

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Hikvision Thermal Deep Learning Turret Camera
Hikvision Thermal Deep Learning Turret Camera

Hikvision has released a new Thermal Bi-spectrum Deep Learning Turret Camera, which will bring enhanced capabilities of indoor fire detection, including an advanced temperature anomaly alarm and visual warning. This new cost-effective camera (DS-2TD1217/V1 Series) reduces the risks of fire and property loss.  Bi-spectrum image technology Hikvision’s Thermal Bi-spectrum Deep Learning Turret Camera supports fire detection using high-quality internal hardware components to capture images using both visible light and infrared light, also called “bi-spectrum” image technology. The bi-spectrum image technology creates a picture-in-picture preview and image fusion, which can capture what caused the alarm and help personnel to check the situation quickly. It monitors through only one channel, reducing bandwidth and simplifying the live preview procedure of switching channels between thermal and optical channels. The bi-spectrum image fusion function also provides more image details under different environmental circumstances, making it easier to find hidden objects and document unusual events. The camera's image processing technology combines multiple image processing techniques to create the best thermal imaging results. It also utilizes a “noise equivalent temperature difference” (NETD) of less than 40 mK (this is a measure for how well a thermal imaging detector distinguishes between minute differences in thermal radiation within an image). This means that the lower the temperature difference sensed by the camera, the smaller the value and the better the image. Temperature anomaly alarm This new thermal camera also features a reliable temperature anomaly alarm, which will trigger an alarm once the temperature goes higher than a user-set limit. This setting effectively improves the pre-warning capability before a fire occurs, and can alert safety personnel to eliminate hidden dangers before the temperature reaches ignition or combustion. In a practical application, it can help to detect smoking behaviors in the first place, especially for areas that are clearly prohibited from smoking like shopping malls or that are heavily banned like oil depots. Through effective alarms, staff can find and stop the person from smoking in time to reduce environmental pollution or fire damage caused by smoking. Reduce false alarms with deep learning In addition, the camera contains a built-in GPU for running the deep learning algorithm to effectively help indoor monitoring and detect illegal intrusion. Its intelligent video content analysis technology can help reduce false alarms by filtering out interference factors such as changes in lighting or movement of animals in the field of view. Only actual threats trigger alarms, making security measures vastly more efficient and preventing unwanted entry. Equipped for double-duty – fire detection and intrusion detection – this camera is highly recommended for use in indoor fire detection and intrusion detection solutions, especially in application scenarios such as warehouses, museums, data centers, and banks. Wide viewing angle (up to 90 degrees) along with relatively small and well-designed camera housings make them easy to install and convenient to use.

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