Hanwha Vision optimizes security in Turkey's healthcare sector

El equipo de Acıbadem, together with the integrator Arte Technology, has invested in 900 cameras Hanwha Vision to improve security. XNO-6080R models have been installed, XNF-8010R and PND-A9081RV at specific points in the center, selecting the camera that best suits each area.

An important healthcare group in Turkey has used the AI video system of Hanwha Vision to optimize security and efficiency in the hospital. It is Acıbadem Healthcare, which has 24 hospitals, 15 medical centers and almost 25.000 employees spread across five countries, including Macedonia, Bulgaria, Netherlands and Serbia. Their professional team required an effective surveillance solution at Acıbadem Ataşehir Hospital, what is the most recent of the group in Istanbul.

Provide information about waiting times in the center, protect visitors, patients and employees, and ensure that unauthorized people do not enter restricted or dangerous areas (such as laboratories or radiation areas) are vital for proper functioning.

El equipo de Acıbadem, together with the systems integrator Arte Technology, has invested in 900 Hanwha Vision cameras to enhance security. The models have been installed XNO-6080R, XNF-8010R and PND-A9081RV with AI at specific points in the facility, by selecting the camera that best fits each area.

In this way, it ensures a positive impact on the safety of patients and workers, while improving protection against theft and potential acts of terrorism. Attention was paid to the need for operational efficiency throughout the day.

The team installed more than one hundred XNO-6080R bullet cameras to improve the perimeter security. With day and night vision, anti-fog and a wide dynamic range of 150 dB, in addition to a length of IR vision of 50 metros, the cameras can alert security teams about suspicious activities along the perimeter. The system can also detect audio and loitering, informing operators about the direction in which a detected object is moving.

En áreas sensibles, such as hospital entrances and patient reception areas, PND-A9081RV cameras have been installed due to their advanced AI-powered video analytics. False alarms are reduced thanks to the precision of AI with Deep Learning dentro del dispositivo, improving operator response times and reducing frustration and fatigue.

The intelligent post-event video evidence search is also smooth thanks to attribute data collected by the camera, que permiten a los operadores buscar personas de interés según género, grupo de edad o vestimenta. This can help find lost patients or children, as well as track suspects.

Mas allá de la seguridad, this camera from the P series provides the Acıbadem team with analysis of people counting, para obtener información sobre los días, meses y momentos más concurridos en el hospital. This can help in effective staff planning, as well as inform about cleaning schedules.

Monitoring patient waiting room occupancy and queue management analysis also improve the hospital experience by helping operators understand occupancy and queue levels throughout the day, to open more check-in counters or deploy additional staff during particularly busy times.

Las fisheye-type cameras of 360 XNF-8010R cameras are used to monitor waiting areas and escalator entrances, providing a wide field of view so that operators can review all on-site activities.

The embedded non-distortion further enhances the images sent to operators so that they can see relevant details in a scene. Thanks to this high level of detail, the same doctors use these cameras in operating rooms to monitor interventions.

Recordings are instantly shared with operators, with the XRN series recorders and the SSM video management software supporting the processing and storage of recordings for future investigations.

With the different models working together, el equipo de Acıbadem se beneficia de medidas de seguridad proactivas gracias a la Inteligencia Artificial que monitorea continuamente eventos que requieren la atención del operador. Información adicional sobre los tiempos de espera en las salas y los niveles de capacidad en diferentes momentos del día están ayudando al equipo de liderazgo a mejorar la experiencia del paciente y los resultados de atención.