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‘WildTrackAI’ - Computer Vision to Animal Footprint Classification To get This Project - https://bit.ly/3GWfnpc ABSTRACT This Project propose animal identification system that employs image processing techniques. Firstly, the collected footprint images are pre-processed. Images are converted into gray-scale and boundaries of image are determined using canny algorithm. Further, footprint images are segmented. Gabour filter are used to extract features of segmented image. After feature extraction, features are reduced based on unsupervised model. Then reduced feature vectors are inputted into the classification model. Probabilistic Neural Network (PNN) is used for classification and identifying the animal class. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support ‘WildTrackAI’ Applies Computer Vision to Animal Footprint Classification, The Footprint Identification Technique, Animal Identification Using Footprints, machine learning, Animal identification based on footprint recognition image proccessing, Animal classification using facial images with score‐level fusion, Identifying endangered species from footprints, Automation of Animal Classification using Deep Learning
