Controlling A Robotic Arm Using Hand Recognition Software

Year 2019, Volume: 5 Issue: 2, 59 - 63, 30.06.2019

Ali Çetinkaya Onur Öztürk Ali Okatan

Abstract

With the increasing need of repetitive tasks in
the manufacturing industry, robotic automation is becoming a necessity. In the
steel industry, workers become less efficient over time, causing interruptions
during assembly. Robotic automation is capable of operating at highest
efficiency therefore increasing productivity in the steel industry. The robot will be able to pick up and drop
metallic object with the help of the electromagnet present on the robotic arm.
The handling of the objects will be triggered by the hand gestures from the
user. The image to be processed will be captured by an external camera. This
robot is built as a prototype for the steel industry. 

Keywords

Gesture Recognition, OpenCV, Embedded System Robotic Arm Control, Embedded C.

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