College

College of Engineering and Polymer Science

Date of Last Revision

2023-05-06 11:05:40

Major

Computer Science

Honors Course

3460 498

Number of Credits

3

Degree Name

Bachelor of Science

Date of Expected Graduation

Fall 2022

Abstract

Laptop theft is an issue worldwide. According to an article from 2018, Security Boulevard stated that a laptop is stolen every 53 seconds. Using a laptop's camera, we can monitor the surroundings of the laptop and reduce a laptop's probability of being stolen. According to the University of Pittsburgh, a laptop has a 1-in- 10 chance of being stolen and nearly half of these thefts occur in offices or classrooms. These thefts mostly occur when a laptop owner leaves their device unattended for a certain period of time to maybe go visit the restroom or attend to a call when they are in a quiet area like a library. Thinking about this problem of theft brought me to one of the main ways theft of property is curbed –Through surveillance and monitoring of a property and its surroundings. The Lapnitor, which is a system consisting of a desktop application for capturing a continuous stream of images from the camera of the laptop, sending the images captured over to the backend, a backend for processing and detecting suspicious activity from the images sent over from the desktop using the OpenCV(computer vision library) and a mobile application for notifying the user of any suspicious activity found by the backend through image evidence and notifications. This significantly reduces the probability of a laptop being stolen and even the possibility of being retrieved if the thief’s face is captured in one of the images.

Research Sponsor

Dr. Zhong-Hui Duan

First Reader

Dr. Yingcai Xiao

Second Reader

Dr. En Cheng

Honors Faculty Advisor

Dr. Donald Quinn

Proprietary and/or Confidential Information

No

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