BG Klinik Ludwigshafen

A solution developed by MOBOTIX and its partner TecTradeSolution

BG Klinik Ludwigshafen specializes in trauma, hand, plastic and burns surgery with a 500-bed capacity. As an institution for learning, research and further education, it maintains a partnership with Heidelberg University.

Assignment & Risks — Detecting Anomalies in Body Temperature

In high-risk areas (e.g. hospitals, office buildings, administrative offices, airports, train stations), it is vital to be able to quickly detect whether someone has a higher than normal body temperature, as fever is a symptom of illness in humans. Isolating such "high-risk people" quickly for further testing is mandatory, even in office buildings and public facilities such as train stations and airports.

We can detect anomalies in body temperature irrespective of the ambient temperature, wind and other environmental factors.

Thomas Striegel, Managing Director at Tec Trade Solution GmbH

As a solution, BG Klinik has chosen MOBOTIX cameras that can detect anomalies in body temperature using technology developed by the MOBOTIX technology partner Tec Trade Solution (TTS). Visitors' entrances are monitored to protect patients, staff and visitors.

"Our technology determines the normal temperature range using a set of prerequisites. It then notifies the user if temperatures deviate from this range," says Striegel. This enables body temperature anomalies to be detected, irrespective of wind and other environmental influences. "The robust, cybersafe MOBOTIX cameras equipped with versatile software interfaces are perfect for developing such solutions with our partners," says Christian Heller, MOBOTIX Sales Director DACH.

 

Industrial process monitoring and optimized detection of anomalies in body temperature developed by our Solution Partner TecTradeSolution.

Learn more about our joint Solution

Summary — Proven Technology with Potential for the Future

The technology is being developed further by TTS: "By linking weather data and illness levels, we can create solutions that can use artificial intelligence to predict developments such as waves of flu, which can then make planning staffing levels easier," says Striegel.

BG Klinik Ludwigshafen (PDF, 455.76 KB)
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