Hikvision lanza la cámara térmica biespectral Deep Learning Turret

Equipped for the detection of fires and intrusions indoors, This camera is ideal for installation in warehouses, museums, data centers and banks. A device that offers a viewing angle of up to 90 degrees and includes an advanced temperature anomaly alarm and visual warning.

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

This thermal camera enables fire detection using high-quality internal hardware components to capture images using visible light and infrared light.: bispectral imaging technology. This creates a picture-in-picture preview and image fusion, which 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.

Bispectral image fusion function also provides more image details in different environmental circumstances, making it easy 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 uses a 'noise equivalent temperature difference' (NETD) of less than 40 mK. This means that the smaller the temperature difference detected by the camera, The lower this value will be and the better the image will be..

Temperature anomaly alarm

This new thermal camera also has a reliable temperature anomaly alarm, which activates an alarm if the temperature is higher than a limit set by the user. This setting improves pre-alert capability before a fire occurs., and can alert security personnel to eliminate hidden dangers before the temperature reaches ignition or combustion.

In a practical application, can help detect smoking behaviors, especially in areas that have a clear smoking ban, such as shopping centers or with strict prohibition, like oil deposits.

Thanks to effective alarms, Staff can find and stop the person before they start smoking to reduce environmental pollution or prevent potential fires caused by lit cigarettes..

Reduction of false alarms

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

Equipped for double 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 and well-designed casings, make them easy to install and use.