Inspection weapon's image on social network using Haartraining
Chanunchida Chunprugsuk, Narumol Chumuang, Mahasak Ketcham, Patiyuth Pramkeaw · 2017
This paper describes the use of Haartraining algorithm for visual inspection the suspicious objects based on Facebook. As a way to detect a person or group of persons who harbor any hope of guilt or incendiary. An important feature verification is the last post in the form of the public. The system can determine the position of suspicious objects that appear in those images by those object has to be similar to those weapons. If the system can detected suspicious objects in the images. It will also alert the administrator for tracking and monitor the position of the villain.