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trishap-16 / repository
Developed an Eye-Controlled Mouse system using computer vision and eye-tracking technology to enable hands-free cursor movement and clicks. Implemented gaze tracking algorithms to enhance accessibility for users with mobility impairments.
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Developed an Eye-Controlled Mouse system using computer vision and eye-tracking technology to enable hands-free cursor movement and clicks. Implemented gaze tracking algorithms to enhance accessibility for users with mobility impairments.
Selected from shared topics, language and repository description—not editorial ratings.
EswarPithani /
Developed an eye-controlled mouse system using Python with OpenCV, MediaPipe, and PyAutoGUI. The system tracks facial landmarks to move the cursor and detect eye blinks for mouse clicks. It processes live webcam feed to provide hands-free navigation, integrating computer vision with GUI automation for intuitive user control.
43/100 healthHarshi8043 /
Developed an eye-controlled mouse project using Python, OpenCV, and MediaPipe. Enables cursor control and clicks with eye movements, achieving 95% cursor movement and 98% click detection accuracy. Utilizes facial landmark detection and PyAutoGUI for seamless interaction.
34/100 healthISeeYOUn /
Developed an Eye Controlled mouse using Python and OpenCV. The system captures live video, converts frames to grayscale, and detects faces and eyes using Haar Cascade classifiers. The detected eyes are highlighted with rectangular boxes using NumPy coordinates, enabling accurate eye recognition and image cropping for further processing.
44/100 health12Divya /
This project aims to develop a mouse controller using eye-tracking technology using Python programming. The system allows users to control the cursor on a computer screen simply by moving their eyes. This innovative solution provides an alternative input method for individuals with limited or no hand mobility, enhancing accessibility and usability.
27/100 healthVidyareddy8124 /
Developed an eye-controlled mouse project using Python, OpenCV, and MediaPipe. Enables cursor control and clicks with eye movements, achieving 95% cursor movement and 98% click detection accuracy. Utilizes facial landmark detection and PyAutoGUI for seamless interaction.
27/100 healthSreyakamsala /
Developed an eye-controlled mouse project using Python, OpenCV, and MediaPipe. Enables cursor control and clicks with eye movements, achieving 95% cursor movement and 98% click detection accuracy. Utilizes facial landmark detection and PyAutoGUI for seamless interaction.
27/100 health