| Title |
Location detection using image recognition techniques / |
| Translation of Title |
Vietovės nustatymas naudojant paveikslų atpažinimo metodus. |
| Authors |
Sekar, Suriya Prakash |
| Full Text |
|
| Pages |
50 |
| Keywords [eng] |
location ; cloud ; image recognition |
| Abstract [eng] |
Finding location using image recognition method is a new emerging technique. This technique is used to find the precise location inside the building. In the absence of GPS inside the building it is difficult to find the location inside the building due to lack of LOS (Line of Sight). Finding the location outside the building will be precise by using this location detection application. Cloud database is used to store the image using Vuforia Target manager. Cloud server is also used to recognize the image. In this work we are analyzing about the image recognition efficiency inside the building environment. Precise location inside the building is analyzed using points of interest method. The distance of the image to recognize is analyzed by experimenting the related distance of the image. When we move outside the building the location precision is analyzed by points of interest method. The long distance image recognition is analyzed by moving far away from the building and experimented. The angle of variance of the image can be analyzed by taking the angle points over the distance of the building. Results we achieved from the experiment tasks are image recognition in this environment is better while using this application and Maximum of 1.5 meters away from the image can be recognized efficiently. The result of the experiment task outside the building has better image recognition in outside environment. The maximum distance a image can be recognized outside building is 35 meters with the efficiency of 100%. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
English |
| Publication date |
2016 |
