automated floor surface detection using image processing technique. This project is to develop a new way of warning people about their walking path pedestrian so that this system will assist the user and notify them if it is wet, dry, and sandy. The outcome is expected to prevent any slip or fall occurs by providing early notification. Different conditions of floor images were captured using Time of Flight camera. The image has then been trained using Convolutional Neural Network method to classify different floor condition. Then CNN is trained to extract high-level features descriptors to classify different types of floor conditions with 91% accuracy
12 freelancers are bidding on average RM626 for this job
Hi, I am expert in Image processing and Machine learning. I have good experience in automated floor surface detection. I can do your project perfectly. Thanks.