With just one Panomera® camera, you can monitor a vast area with incredible detail.
The video surveillance system reduces resources and infrastructure: 24 times fewer cameras are required, one camera covers up to 3,000 sq.m at a level of detail over 250 pixels per meter (identification), 90% less infrastructure, and up to 12,000 sq.m per camera at a level over 125 pixels per meter (recognition).
The Panomera® multifocal sensor system uses innovative lenses and sensors technology to ensure consistent image quality even in the far distance. This enables Panomera® to achieve uniform resolution throughout the entire image area, so that distant objects have the same high resolution as foreground objects. In the Panomera® W the lenses of the multifocal sensor are arranged radially to capture a complete 360° panorama in a holistic view.
Therefore Panomera® significantly outperforms conventional HD and megapixel cameras.
The DIN EN 62676-4 standard specifies pixel density requirements depending on the application. For example, 125 pixels per meter are required to recognise familiar people or criminals while 250 pixels per meter are necessary to identify unfamiliar faces. Typically a minimum density of 62.5 pixels per meter is required to analyse and distinguish objects, depending on their size.
Panomera® technology offers high efficiency requiring a minimum number of cameras to cover a much larger area compared to conventional solutions.
With Panomera® cameras customers can monitor large areas or long distances using less equipment compared to conventional solutions.
Panomera® is a virtual combination of multiple PTZ cameras and megapixel devices. Thus large areas or distances can be monitored using fewer cameras, which ensures maximum efficiency. This is beneficial for all participants in the process — from designers and installers to security system operators, managers and decision makers.
Precise identification of people, cars, large vehicles and even animals.
Intrusion detection, crossing of virtual lines, analysing queues and counting objects in specified zones.
Neural networks filter out unnecessary data such as background movements and focus on significant events.