Hikvision launches Deep Learning Turret bispectral thermal camera

Equipped for fire detection and indoor intrusions, this camera is ideal for installation in warehouses, Museums, data centers and banks. A team that offers a viewing angle of up to 90 degrees and includes an advanced alarm of temperature anomalies and visual warning.

Hikvision has released the Deep Learning Turret bispectral thermal camera, equipment with enhanced indoor fire detection capabilities, including an advanced alarm of temperature anomalies and visual warning. This new camera (DS-2TD1217/V1) reduces fire risks and loss of property.

This thermal camera enables fire detection using high-quality internal hardware components to capture images using visible light and infrared light: bispectral imaging technology. It creates an image-in-picture preview and image blending, you can capture what caused the alarm and help staff check the situation quickly. Monitor through a single channel, reducing bandwidth and simplifying the live preview procedure and switching between thermal and optical channels.

The bispectral image blending feature also provides more image details under different environmental circumstances, making it easier to find hidden objects and documentation unusual events.

Camera image processing technology combines multiple image processing techniques to create the best thermal image results. It also uses a 'noise equivalent temperature difference' (NETD) less than 40 Mk. This means that the smaller the temperature difference detected by the camera, the lower this value and the better the image.

Alarm of temperature anomalies

This new thermal camera also features a reliable alarm of temperature anomalies, triggering an alarm if the temperature is higher than a user-set limit. This adjustment improves pre-alert capability before a fire occurs, and can alert security personnel to eliminate hidden hazards before temperature reaches ignition or combustion.

In a practical application, can help detect smoking behaviors, especially in areas that have a clear ban on smoking, such as shopping malls or strictly banned, like oil deposits.

Thanks to effective alarms, staff can find and stop the person from starting smoking to reduce environmental pollution or prevent potential fires caused by lit cigarettes.

Reducing false alarms

In addition, the camera contains an integrated GPU to run the deep learning algorithm and assist in indoor monitoring and detection of illegal intrusions. Its intelligent video content analysis technology can help reduce false alarms by filtering interference factors, such as changes in lighting or animal movement in the field of view. Only real threats trigger alarms, which makes security measures much more efficient and prevents unauthorized access.

Equipped for dual service (fire and intrusion detection), this camera is recommended for use in indoor fire detection and intrusion detection solutions, especially in application scenarios such as warehouses, Museums, data centers and banks. The wide viewing angle (Until 90 Degrees) along with relatively small, well-designed housings, make them easy to install and use.

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