Malleshwari M., Mamtha G., Nisha R., Nandhini M.
This paper discusses the development and implementation of an indoor delivery robot equipped with the face recognition facility through a deep learning-based architecture for authentic and safe delivery within smart indoor locations. This system will provide benefits in terms of enhanced security, automation, and efficiency for purposes like delivering items in hospitals, offices, laboratory areas, and smart indoor buildings. The face recognition facility will be implemented through a Deep Neural Network (DNN) approach for recognizing the user for verification. A robot platform is created through an ESP32 microcontroller connected to DC motors, motor driver, camera module, and ultrasonic sensors. The proposed robot will be able to move in designated areas inside the smart environment while detecting any possible obstruction in its way. Once the robot reaches the destination point, it will use the face recognition facility for authenticating the user before giving access to the package. Furthermore, communication over the Internet of Things (IoT) platform facilitates wireless monitoring and management. Experimental analysis indicates robust navigational skills and reliable obstacle detection.