![]() The color space of the image is converted from BGRA to HSV and is split into its respective channels. Screenshots are returned as a numpy.ndarray, containing BGRA values of each pixel. This can reduce the search space and filter any false positives. The arrows were observed to be 15 pixels apart and 30 pixels long.This can be used to find the directional orientation of the arrows. The arrows were observed to start from a red-ish color and end at a green-ish color.This can help distinguish potential arrow locations. The arrows were observed to be within a certain HSV range.The captchas that appear when activating runes were observed to appear within a certain portion of the application window.This can make edge and contour detection difficult. The arrows have a certain amount of noise and dilation applied to them.As a result, this program is limited in its effectiveness and any changes to the current system can disable the effectiveness of this program. The approach taken to tackle this problem is heavily reliant on similar image-processing techniques mentioned above. They appear every 15 minutes and when left unsolved, drastically reduce the amount of rewards earned by the player when killing monsters, hindering the effectiveness of many botting programs. They come in the form of captchas that require the player to distinguish the directional orientation of 4Īrrows. Runes are a part of MapleStory's in-game anti-botting system. Interception also utilizes SC instead of VK. This does not appear to be the case with Interception, making it ideal for prolonged usage. While using the libraries built with Win32Api to send keystrokes, there is a bug that eventually causes MapleStory to memory leak and crash. To interact with the game, this bot uses a port of Interception ( ) to simulate key presses. As this bot is external, it should undetected and functional throughout newer versions of the game unless changes are made affecting mini-map colors. An implementation that accesses the game's memory could be faster but requires more maintenance and the knowledge to bypass game security. ![]() ![]() This bot uses computer vision to find game features, being reliant on taking screenshots of the application window as a bitmap and parsing for pre-determined BGRA values. This project aims to tackle the monotonous grind that players experience in MapleStory.
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