Israeli technology can detect terrorists through morning fog

A Hod Hasharon company has developed a new device that will allow drones to identify moving objects from a distance of up to 20 km.

An Israeli company from Hod Hasharon has recently developed a device that will allow drones to identify moving objects through fog, thus allowing the IDF to prevent early morning terrorist attacks.



Over the years, the IDF reinforced its positions in sensitive areas in the early morning hours, for fear that terrorist cells would take advantage of the fog. That is what happened in hundreds of attacks, from the security zone in Lebanon and the kidnapping of Gilad Shalit on the Gaza border. But now the IDF can benefit from a solution that will help troops dramatically. 



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This advanced mission-specific payload, which is at the heart of the operating system of equipment such as drones, can also be used on both land and sea. It contains critical components such as radar, day and night cameras, relays and more. Its uniqueness is the SWIR (Short Range Infra Red) technology , which was recently developed and is able to see and take high quality pictures through fog. It can identify silhouettes or moving objects from a distance of several kilometers, and if necessary from up to 20 km.


The device in question is relatively large - about 65 kilograms - and is installed on the ground on the Speed LR platform made by Controp, an Israeli company in Hod Hasharon. The first devices will be delivered by the company in a month. 



The devices can also identify suspicious targets through "distortion vapors" that the ground creates on hot days, even through the haze. Until now the military had to use radar to detect suspicious movements in fog, which reduced the level of reliability of alarms because of the multiplicity of motions detected, even that of animals on the ground which triggered false alarms. "This is an area that has become very popular in recent years", an executive from Controp explained to Ynet.





פרסום ראשון: 02.10.16, 22:54
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