The DVIDP is an early detection sensor, with two operational states (i) sense objects at the horizon and (ii) detect and recognize the object for deploying countermeasures. The sensor contains four components, namely (i) situation awareness module, (ii) Pan-Tilt-Zoom (PTZ) platform, (iii) multi-class drone classifier using deep-learning, and (iv) alert command center. The situation awareness module is operates based on the static camera videos to monitor intruders. The PTZ platform consists of a pan-tilt platform with the camera that supports programmatic control of the focal length of the lens. The PTZ signals are processed by the Raspberry Pi for activating the appropriate binary bits interfaced with the servo motors for accurately positioning the platform. The continuous media stream captured by the PTZ camera is transmitted to the analytic component, where the media is processed using the deep-learning network framework for detecting drone and subsequently identify the intruders at the horizon.