Designing better mental healthcare facilities

Robust camera for unobtrusive monitoring

The new Hanwha Techwin Wisenet TNV-7010RC 3 megapixel corner mount camera has been designed to meet the requirements of mental health institutions, the police, and prisons, where there is a duty of care to prevent self-harm.

The camera has a built-in 940 nm IR emitter which projects infrared light up to 10 m at a higher wavelength than traditional red glowing IR lighting. Invisible to the human eye, this avoids disturbing those sleeping in secure rooms. The ‘true day / night camera’, which can reportedly capture clear, sharp colour images in light levels as low as 0.3 Lux, also features Wide Dynamic Range (WDR), which performs at up to 120 dB, ‘to accurately produce images in scenes that simultaneously contain very bright and very dark areas’.

Uri Guterman, head of Product & Marketing for Hanwha Techwin Europe, said: “Sadly, there are inmates and patients who try to self-harm, and with this in mind, the corner mount housing has been built to make it impossible for anyone to tie a ligature around it provided that it is properly installed. Considerable thought was also applied to the housing design to ensure sufficient robustness for secure room environments. It is, for example, IK10+ vandal resistant, has IP66 and IP6K9K-rated ingress protection, and a shock detection feature to alert control room operators if anyone tries to damage it.”

To protect patient privacy, masking zones can be configured precisely over a specific area of the field of view, while a built-in microphone and audio support facilitates two-way communication.

Additional features include a built-in ‘suite of analytics’, such as Tampering, Loitering, Directional Detection, Defocus Detection, Fog Detection, Virtual Line, Enter/Exit, Appear / Disappear, Audio Detection, Face Detection, Motion Detection, and Sound Classification.

A ‘Hallway View’ provides a highly effective way to monitor narrow vertical areas such as corridors as it enables cameras which can generate images in the 9:16 x 3:4 aspect ratio.

 

 

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