Wildlife monitoring and tracking are vital for the preservation of various wildlife species. Activities such as poaching and loss of habitat have made wildlife monitoring and tracking increasingly tricky. Modern-day ...

The decline in biodiversity threatens food-security and the quality of life of all living beings. The decline in the number of insects (bees) is a critical phenomenon that should be looked deeply into. Computer Vision ...

Conservation planning and conflict resolution require careful monitoring and analysis of wildlife. Video traps, in combination with AI-based analytic tools, are an excellent example of noninvasive technology used successfully ...

Text-to-speech systems generally require large amounts of annotated speech data with the quality of both the annotations and speech being a huge factor. As a result, most of the research performed has been on highly curated ...

Monitoring of protected areas to curb illegal activities like poaching and animal trafficking is a monumental task. To augment existing manual patrolling efforts, unmanned aerial surveillance using visible and thermal ...

We use Mean Shift clustering in the latent space of an auto-encoder to have a better representation of the data and a more structured latent space. Instead of just using the mode of the distribution calculated using kernel ...

This project focused on the deployment of a deep learning model for species categorization and retraining on the cloud using the YOLOv5x architecture. The goal was to create a web application that allows users to upload ...

Disentangling higher level generative factors as disjoint latent dimensions offer several benefits such as ease of deriving invariant representations, targeted data augmentation with style transfer, better interpretability ...

As autonomous vehicles advance toward mainstream adoption, efficient testing methods have become paramount to expand their presence in crowded and unpredictable environments like those seen in Indian cities. Autonomous ...