Abstract:
In hazardous environments such as bomb disposal, medical treatment in
contaminated zones and handling dangerous chemicals, the need to perform
tasks with human precision without risking harm to human operators is
paramount. Thus, this research presents the development of a teleportation
system, featuring a master hand that controls a robotic hand through realtime
hand gestures, offering a solution that leverages advancements in
robotics and image processing technology. The system employs a Raspberry
Pi as the central control unit, utilizing Open CV to detect images and
recognize hand gestures, which are then translated into precise actions
performed by the robotic hand. Hand gesture recognition is achieved using
advanced image processing algorithms, ensuring accurate and responsive
control. The real-time performance of the system was rigorously tested,
demonstrating an average response time of approximately two seconds. This
capability allows for immediate and intuitive control, enhancing the safety
and efficiency of operations in dangerous scenarios. The findings of this
research highlight the potential for robotic hands to replace human hands in
perilous tasks, significantly reducing the risk to human operators while
maintaining the dexterity and functionality required for complex operations.
The integration of robotics with real-time gesture recognition represents a
significant step forward in the development of safe and effective tools for
hazardous environments.
