The document discusses a project that aims to develop an object recognition system to help blind people navigate their surroundings using stereo vision techniques and narration. The primary objectives are to improve segmentation accuracy using depth information extracted from stereo images and classify objects. The proposed system architecture involves data acquisition using a stereo camera, segmentation, feature extraction, classification models, and a text-to-speech narrator. Challenges include partial occlusion, segmentation accuracy in complex scenes, scale and illumination changes, and rotation. The project will use C++, OpenCV, Visual Studio, and Matlab and hardware will include a stereo camera.