Jordan Adopts Fractal Vehicle Camouflage
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Back in January 2006, DID covered pioneering technology from Hyperstealth Biotechnology Corp. that made it possible to quickly and inexpensively apply advanced fractal camouflage patterns to aircraft, UAVs, helicopters, vehicles – even buildings. The fractal camouflage trend has continued in the field of uniforms, and camouflaging other military assets such as submarines seems to be getting more attention these days.
Now the Hashemite Kingdom of Jordan has taken the next step and applied Hyperstealth’s fractal camouflage patterns to hundreds of its vehicles, from Challenger tanks and M109 self-propelled howitzers to truck and jeeps. Meanwhile, the Chinese military has taken notice of the original DID article.
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The application of KA2 fractal camouflage scheme variants to Jordanian vehicles was revealed on June 10, 2006 during a huge military parade in the capital, Amman. It marked King Abdullah’s ascension to the Throne on June 8, 1999, and also commemorated the Great Arab Revolt against the Ottoman Turks in 1918.
While Hyperstealth’s original fast-application approach used a technique for applying vinyl-type coatings from 3M, this approach wouldn’t deliver some of the anti-infrared/thermal reduction capabilities of new military paints. As such, HyperStealth developed special paint templates that could be used for this task.
In addition to its new vehicle camouflage, over 390,000 uniforms have been manufactured in seven different KA2 color schemes for Royal Jordanian armed forces, police, and paramilitary units. Jordan continues to develop and expand their digital concealment programs with HyperStealth Biotechnology Corp. for their military aircraft.
More pictures from the Amman parade can be found right here.
Interestingly, Hyperstealth Biotechnology Corp. CEO Guy Cramer sent along a URL to a June 12, 2006 article posted by the People’s Republic of China’s Committee of Science Technology and Industry for National Defense. Read the page in the original Chinese, or be amused by Google’s automated translation.
