Dead-eye: Detection of article displacement inside an enclosed space

• Main Authors: Lee, Wilson Steven, Ng, John Douglas, Uy, Matthew Bryan, Van, David
• Format: text
• Language: English
• Published: Animo Repository 2010
• Subjects: Security systems; Surveillance detection; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/8749
• Institution: De La Salle University

The lack of technologies concerning systems that detect object displacement has become a growing concern regarding security matters. A common example is how security cameras recording visual data of the crime scene overnight do not specify at which hour the crime has occurred. The lack of technology, in this case, is present when the human observer is forced to sift through long hours of visual recorded data, searching for a single instance of object manipulation. Another field that relies heavily on such a technology is empathic computing. Lack of the aforementioned technology hinders scientific research and understanding concerning the relationship of an interaction between man and computer. A good example of how displacement technology might support empathic computing is in its indirect ability to help monitor human action. For instance, taking notice of which objects were used by a person within a room might lead to further learning about the behavioral patterns of said person. Present technologies are limited to merely detecting the object (recognizing it as an object), or tagging it (recognizing the object before attaching identification to it). These technologies provide two (2) specific major limitations. Firstly, given any situation where a particular object has been manipulated or moved in any fashion, it is impossible to determine the manner (how) by which the object was manipulated or moved. Secondly, any object that is replaced with an identical copy of itself will easily fool an object detection system. These provide major hindrances in both security and empathic computing research. The system is designed as a sensory tool capable of supplementing empathic computing research and technology. Additionally, it is capable of serving as a major security surveillance utility for any corporation or industry, and has the potential of significantly improving both the efficiency of security and the human labor coefficients.