Sortify- An Autonomous Voice Controlled 6 DOF Robotic Arm for Object Detection And Sorting

This paper examines the advancements in autonomous robotic systems, emphasizing their application in industrial automation. The paper discusses a wide range of technologies and their integration with Sortify - An autonomous voice controlled 6 degrees of freedom robotic arm for object detection and sorting, including computer vision, voice recognition, control algorithms, and hardware configurations. Key computer vision techniques such as Haar Cascade for object detection are explored. Voice recognition, enabled by Natural Language Processing (NLP) and the Google Speech-to-Text API, adds interactivity to the system by enabling voice-driven commands. Furthermore, it highlights the integration of Robot Operating System (ROS), along with stepper and servo motors for precise movement control. The use of embedded computing platforms such as Jetson Nano, Raspberry Pi, and Arduino Nano, is also discussed. The paper identifies the existing gaps in current research and suggests how those can be addressed in future developments. Future research opportunities in areas like machine learning, real-time processing, and energy-efficient designs are also proposed, with the aim of advancing industrial automation.