Active or adaptive camouflage refers to rapid concealment of the self by changing color to match that of the background. Especially in today`s combats in which situation evolves second by second, rapid adjustment to blend into the surroundings is critical for survival. In order to meet such demands, the authors have developed CamouLED, a system that allows real-time adaptation to background. It consists of three major parts: a CMOS camera that reads background scenes, a patterning algorithm that processes the received image and generates a camouflage pattern and an 8 x 8 LED array that displays the generated camouflage pattern. The patterning algorithm contains three color combination strategies (Average, Main, Mosaic) and two pattern arrangement strategies (Arranged, Random). Combination of the two strategies allows generation of total six types of patterns. This study attempted to assess effectiveness of CamouLED as a means of camouflage in real environment. Photo simulation experiment previously conducted by the authors identified Average Random (AR) as the best strategy in the woodland background. In line with this, it was hypothesized that AR would also be a more effective camouflage strategy for CamouLED, compared to Average or Main. The LED array was placed among the bushes. Participants were asked to walk slowly towards the camouflaged target and try to locate it. The starting distance between the target and the participant was 50 meters.