Improved accuracy in detecting humans in low-resolution thermal image using combinations of Histogram of Oriented Gradients.
Analyzed the feedback mechanism of LLVM optimizers and proposed ideas to make LLVM on par with ICC.
Zeva is Zensar’s voice-based enterprise personal assistant. With features of enterprise integration, email integration, and Google search integration. Zeva has an in-built self-learning capability based on its usage pattern. Built on an AI-based Q&A system, Zeva maintains context in the conversation using voice authentication and offline speech features.
Implemented a social distancing tracker using Computer Vision (CV) to track the violation of social distancing norms. It requires a one-time calibration step. IDs of people violating the norms get logged in the SQL database.
Implemented an image similarity solution for a major UK based retail client. Multiple algorithms were built, tested, and compared based on accuracy, response time, and match rate for various image transformations.