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Crime cases involving house breaks and theft are on the rise yearly. It was reported that during the Covid 19 breakout, house breaks cases were rampant. Due to this situation, this project focused on developing gate monitoring and authentication system for landed houses in Malaysia. The proposed system in this paper used the IoT and embedded image processing technique, where Raspberry Pi acted as the main brain of the system combined with embedded face recognition technique. OpenCV and Python are used for the face recognition module with Raspbian OS. The system works when a camera detects and capture an image at the entrance, the system searches the database while a message is sent to the owner through Telegram and the captured image is sent to Gmail, if the captured image is not in the database, no entry is granted and otherwise. The prototype system objectives are to notify owner when there is a visitor, identify the identities of the visitor and authenticate the authority for admission. [ABSTRACT FROM AUTHOR]