The world is now emerging towards automation and machine-based works which brings in the need for robots. One such kind of a robot which is of a huge need in the current era is the robotic chassis which has an enormous number of usages in various domains and fields.With advancements in technology, every sector is getting benefited just like the rescue operations team becoming more compact and smaller day by day. Miniature version of robots called the robotic chassis which is used for the analysis and studying of minute places and locations are coming into action slowly which can perform live tracking while recording HD video as well. A robotic chassis is an autonomous or semi-autonomous robot that can be controlled using a controller or a console to perform various operations such as pick and place, rescue bots, analysing and studying etc, However, the most important factor has not changed much for the controller. It is still heavy and unintuitive for beginners. Using hand gesture recognition via the open cv domain, the Robotic chassis can be controlled using identical operations performed through the gestures given as the input. Using real time working model, the hand gesture controlled robotic chassis is operated wireless for the first time using a Zigbee module. Hand gesture recognition provides the desired result for the desired posture that user previously trained using Deep learning technology. The output of hand gesture recognition is given as input to the robotic chassis microcontroller to calibrate the python code to the Arduino IDE. Basic robotic operations such as Forward, Backward, Left, Right and Stop operations can be performed based on input and simultaneously the live streaming video can be telecasted.


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    Title :

    Console Free Robot Chassis Using Hand Gesture Recognition


    Contributors:
    P, Shanmuga Priya (author) / T, Swetha (author) / D, Swetha (author) / A, Surya (author)


    Publication date :

    2023-05-25


    Size :

    4146261 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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