Intelligent chess playing control method and system
A control method and chess technology, applied in board games, sports accessories, instruments, etc., can solve problems such as physical distance constraints that cannot be solved at the same time, and achieve the effect of solving physical distance limitations, ensuring accuracy, and reducing the amount of calculation.
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specific Embodiment approach 1
[0028] Specific embodiment one: the intelligent chess game control method of the present embodiment, comprises the following steps:
[0029] Step S1: Continuously detect whether a confirmation signal indicating the end of the offline user's move is received.
[0030] For example, a confirmation key can be set, and when the user presses the confirmation key, it means that the user has completed the move. An offline user means that the user is manually playing chess in front of a physical chessboard. This is to distinguish it from the online users mentioned later in the present invention. Battle online. The offline user and the online user are generally not the same user, but can be both parties playing games at the same time. In this embodiment, it is assumed that the player who is playing against the offline user is a robotic arm controlled by a single-chip microcomputer.
[0031] Step S2: When the confirmation signal is detected, acquire a frame in the video stream as the ...
specific Embodiment approach 2
[0049] Specific embodiment two: the difference between this embodiment and specific embodiment one is that after obtaining the position of the chess piece to be moved and the optimal position of the chess piece, it also includes:
[0050] Send a control signal so that the robotic arm moves the chess piece from the position of the chess piece to be moved to the optimal position; detect whether the mechanical arm has finished placing the chess piece, if so, obtain a frame in the video stream as the original frame, and obtain the position of the original frame matrix.
[0051] Other steps and parameters are the same as those in Embodiment 1.
specific Embodiment approach 3
[0052] Embodiment 3: This embodiment is different from Embodiment 1 or Embodiment 2 in that: the decision algorithm is an AlphaBeta pruning algorithm. The decision-making algorithm is the core of the man-machine battle mode, and the present invention adopts the most widely used AlphaBeta pruning algorithm for dealing with chess moves. The advantage of using this algorithm is that the system intelligently evaluates the situation and searches for the best method.
[0053] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.
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