Document Type
Dissertation
Publication Date
Spring 4-15-2020
Abstract
Machine learning models & AI are popular term in past couple of years. Almost every aspect on our daily life we are using these machine learning models & AI knowing or unknowing. The simple statement of this research paper is to prove reduction of human effort in camera surveillance by using machine learning models such as objection detection & facial recognition.
TensorFlow is leading open source tool developed and published by Google helps to build objection detection and facial recognition library. The code we about to develop can allow user to train model with his choice of images of objects and faces of persons. The user developed model must detect, track and alert user. The code written in python and OpenCV, Twilio, TensorFlow technology used makes python code works. So, this python code helps user without his presence in securing user premises
Recommended Citation
Putta, K. (2020). EFFECTIVE SMART VIDEO SURVILLANCE AND ALERTINNG. Retrieved from https://digitalcommons.harrisburgu.edu/csms_student-coursework/11