Obstacle Net
The team at MCQ-Scan presents a novel method for floor segmentation
Obstacle Net
Introducing Obstacle Net, a cutting-edge neural network for movement obstacle detection. By leveraging the power of deep learning, Obstacle Net enables our robots to accurately detect obstacles on the floor, ensuring safe and efficient movement in various environments.
Experience the capabilities of Obstacle Net firsthand with our interactive Gradio demo. Simply upload an image of a floor scene, and witness how our advanced system identifies and highlights potential obstacles in real-time. This technology showcase demonstrates the immense potential of Obstacle Net in enhancing the autonomy and reliability of our robotic solutions.