Enhancement of OWASP Monitoring System with Instant Notification

Security is a major concern for all premise properties, such as residences, industries, etc. Lack of a secure system will open a window of opportunity for theft that causes damage, loss of property, and emotional misery. This paper mainly focused on the OWASP development of an embedded live surveillance camera with instant notification. The system functions by capturing video of any motion detected in restricted areas, such as user belongings and property. The system will immediately alert the user via Telegram and email, for further action to be taken as the result proves within an average of 2.3 s of motion detection and a user alert system of 3.8 s. The monitoring system with a high alarm rate is able to integrate with the system and communicate with the user by using an embedded system of Raspberry Pi 4 Model B. The algorithms used in this research include the dynamic programming algorithm (DPA) and the application programming interface (API). The integration and embed system indicate the system efficiency of 92.65% with error tolerance below 3.1% using Support Vector Machine (SVM) as a tool to analyze system performance of True Positive (TP), True Negative (TN), False Positive (FP), and False Negative (FN).