Google Cloud Video AI

Ango Hub is a quality-focused, enterprise-ready data annotation platform for AI teams, available on cloud and on-premise. It supports computer vision, medical imaging, NLP, audio, video, and 3D point cloud annotation, powering use cases from autonomous driving and robotics to healthcare AI. Built for AI fine-tuning, RLHF, LLM evaluation, and human-in-the-loop workflows, Ango Hub boosts throughput with automation, model-assisted pre-labeling, and customizable QA while maintaining accuracy. Features include centralized instructions, review pipelines, issue tracking, and consensus across up to 30 annotators. With nearly twenty labeling tools—such as rotated bounding boxes, label relations, nested conditional questions, and table-based labeling—it supports both simple and complex projects. It also enables annotation pipelines for chain-of-thought reasoning and next-gen LLM training and enterprise-grade security with HIPAA compliance, SOC 2 certification, and role-based access controls.

Video Analytics are sets of processes that use AI algorithms and metadata to scan video in order to detect patterns or recognize specific objects. Once processed, the video data can then be queried and searched for various/specific results. These are also known as IVAs - Intelligent Video Analytics. Government bodies actively opting for AI-based video systems to monitor traffic congestion. Face recognition technologies are being speedily adopted to support video-based data analytics and enhance face matching to serve several end-use applications. Software automation of video surveillance processes, offering cost-effective benefits to the end-users. Video analytic software breaks down video signals into frames. Understanding digital video and how it works is an interesting topic and good to know before we break down the next steps.