College of Engineering and Polymer Science

Date of Last Revision

2022-11-23 06:18:32


Computer Science

Honors Course

3460 498

Number of Credits


Degree Name

Bachelor of Science

Date of Expected Graduation

Fall 2022


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




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