Our idea points to the detection or acquisition or locking of entities in a particular area or room or space where their presence is judged through facial recognition, object detection, and posture detection. We simply present a smooth deep learning-based software that can identify an individual through facial recognition utilizing the face recognition module, track him or her through different cameras, his or her actions, and postures and detect an anomaly in behavior through all these parameters, and send the required information with alert generation to the handler. It will be able to identify a person (imposter or not), object (unethical or ethical i.e., cell phones, earpiece, weapons, done through the YOLOv5 deep learning-based model), or postures and actions (necessary or unnecessary, done through VGG19 model), and sends information accordingly. If an anomaly is detected in any case, a visual alarm will be sent to the handler. Our idea being simple to implement is suitable for high-profile areas, field work, and surveillance.