19 Sep Dallmeier launches new Panomera S4 Perimeter camera

Dallmeier has launched the new Panomera® S4 Perimeter.

The Perimeter Panomera® combines four sensors in one optical unit, which provides a resolution of 200 effective megapixels – MPe – per camera.

Combined with an AI object classification system specially trained for perimeter requirements, and AI tamper detection also optimised for this purpose, the result is an extremely powerful solution with comparatively low infrastructure, system and personnel costs.

The surveillance of narrow strips along perimeters such as fences, buildings or roads, often referred to as ‘sterile zones’, is one of the most demanding requirements for physical security.

Until now, video systems as the leading system on the perimeter have often failed to live up to user expectations, particularly in high-security environments: unsatisfactory detection performance, high false alarm rates and, above all, the fact that the analytics are easy to manipulate are often cited as disadvantages.

Other shortcomings include poor image quality and high infrastructure costs, particularly due to the large number of cameras required. The new Panomera® S4 Perimeter from Regensburg-based manufacturer Dallmeier promises to help.

Equipped with a neural network specially trained for perimeter protection, the Panomera® S4 Perimeter reliably recognises people with unusual body postures such as bent over, crouching or lying down and movement patterns such as very slow, very fast or crawling. People wearing camouflage such as Camouflage Central Europe, British Smock or Ghillie are also reliably detected.

The advanced AI tamper detection application supports the detection of tampering attempts that are typically expected at a perimeter. In addition to classic methods such as twisting, defocusing, spray-painting and covering the camera or IR illumination, blinding the camera with a laser pointer, flashlight or strobe light is also reliably detected.

Furthermore, indirect tampering by deliberately fogging the detection area with pyrotechnics such as smoke grenades or smoke pots is detected and an alarm is triggered. The combination of both evaluation techniques provides optimum detection of intrusion attempts with a very low error and false alarm rate.