Advancing Human Detection with Multi-Dimensional AI

A leading global technology company sought to develop an advanced AI detection system capable of recognizing humans in highly varied and complex environments. Unlike traditional solutions that rely on bounding boxes, this use case required far greater precision—delivering segmentation masks, depth estimation, and keypoint detection simultaneously. The diversity of real-world contexts and scenarios made the problem exceptionally challenging, and the project carried strict service-level agreements (SLAs) around accuracy, latency, and reliability. Yuva AI was engaged to build and train a system capable of meeting these stringent requirements. Leveraging millions of diverse, high-fidelity data points, Yuva AI designed a tailored pipeline that supported multi-dimensional detection outputs. This enabled the client to deploy a robust solution that not only achieved but exceeded the high-quality thresholds demanded for production use.