A system for recognizing chips placed on a game table on which a game using chips is played, the system comprising: a single camera configured to capture an image of a chip stack comprising, in use, a plurality of chips stacked vertically and overlapped in a deviated manner and placed on the game table, to acquire one captured image; a control device configured to determine the position, type, and number of chips placed on the game table by analyzing the one captured image acquired by the single camera, characterized in that the single camera is configured to acquire the one captured image including, in use, when there are a plurality of chip stacks, the plurality of chip stacks having different distances from each other and different directions of observation from the camera, by capturing the image of the chips placed on the game table from diagonally above, the single camera is configured to acquire the one captured image, which shows, in use, the top surface of the topmost chip in the chip stack and the sides of the plurality of chips comprising the chip stack, by capturing the image of the chips placed on the game table from diagonally above, the control device is configured to determine the location of each of the plurality of chip stacks, the type of each of the plurality of chips in each of the plurality of chip stacks, and the number of chips in each of the plurality of chip stacks by using artificial intelligence techniques utilizing deep learning as image analysis, and the control device is configured to determine the position, the type, and the number of chips by image analysis of the one captured image of a chip stack comprising a plurality of chips stacked vertically and overlapped in a deviated manner. a single camera configured to capture an image of a chip stack comprising, in use, a plurality of chips stacked vertically and overlapped in a deviated manner and placed on the game table, to acquire one captured image; a control device configured to determine the position, type, and number of chips placed on the game table by analyzing the one captured image acquired by the single camera, characterized in that the single camera is configured to acquire the one captured image including, in use, when there are a plurality of chip stacks, the plurality of chip stacks having different distances from each other and different directions of observation from the camera, by capturing the image of the chips placed on the game table from diagonally above, the single camera is configured to acquire the one captured image, which shows, in use, the top surface of the topmost chip in the chip stack and the sides of the plurality of chips comprising the chip stack, by capturing the image of the chips placed on the game table from diagonally above, the control device is configured to determine the location of each of the plurality of chip stacks, the type of each of the plurality of chips in each of the plurality of chip stacks, and the number of chips in each of the plurality of chip stacks by using artificial intelligence techniques utilizing deep learning as image analysis, and the control device is configured to determine the position, the type, and the number of chips by image analysis of the one captured image of a chip stack comprising a plurality of chips stacked vertically and overlapped in a deviated manner.