Suspicious Activity Detection Based on Head Movement

Detecting suspicious activity based on a person's head movement, makes the task of monitoring more efficient and automated. In this project, we aim to detect such suspicious movements based on head movement direction being left or right associated with a counter variable using the media pipe module in python, and then the machine can itself trigger certain notification capabilities to registered mobile numbers using Twilio API on the occurrence of such tasks, making it scalable and reliable for applications like exam monitoring, ATM thefts, etc.