Gyrus AI Blogs on New Ideas, Events, Updates for Video Anonymization, Streaming with AI/ML
INTRODUCTION Medical data is invaluable to saving lives, training health care personnel, and developing new therapies. Advanced technology has led to the increase in electronic retention of healthcare information that may carry sensitive personal data. These have seen improvements in medical care but also heightened concerns on confidentiality.Additionally, more information is being generated through the […]
INTRODUCTION Enterprise AI refers to the use of artificial intelligence (AI) technologies and models within large-scale business environments to enhance decision-making, automate processes, and drive innovation. Making AI models enterprise-ready involves addressing various requirements to ensure scalability, reliability, security, and compatibility with existing infrastructure. Canned AI models do not work. Frictionless Integration of models into […]
Introduction This article is based on our expertise in building AI vision models and deploying them in customized real time video processing pipelines. In our experience,a realtime vision Ai pipeline enables fast results and saves on GPU hardware usage cost. This is a comparative study between two popular frameworks, which we have customized and deployed […]
Introduction The global video surveillance market is likely to gain momentum from the increasing usage of deep learning technology in Smart City, Healthcare, Retail, and Autonomous vehicles. The recently published report by Fortune Business Insights™, titled, Forecast, 2021-2026 mentions that the video surveillance market size was USD 19.12 billion in 2018 and is projected to […]
Background Video streaming is predicted to account for a staggering 82 percent of the total internet traffic by 2022. From basic android mobile to 4K premium tv – viewers are watching content on devices with varied resolutions, compute & capability. The massive amount of data streaming presents challenges to broadcasters, content distribution networks, such as […]
Background Artificial intelligence (AI), with machine learning (ML) and deep learning (DL) technologies, promises to transform every aspect of businesses, devices, and their usage. In some cases, it enhances the current process, and in some cases replaces them. As video streaming devices (including TV &[…]
Background In recent years, deep learning-based Artificial Intelligence (AI) and Machine Learning (ML) models are moving from cloud to the edge devices for various factors such as bandwidth as in Figure-1. Power consumption, latency, hardware size are important aspects for inference at the edge. Moreover, The Models developed in the cloud[…]
Background Retail is going through a massive transformation in multiple fronts. Online Stores are racing ahead with several advantages compared to Offline stores. The data collected by the online stores about the buyers is becoming a huge advantage to target products and to come up with merchandise that is likely to address[…]
Background This blog outlines the steps involved and things to care about for transfer learning a propensity model. Sales team members could be inundated with several prospects. The best use of their time is by lead scoring and focusing on the prospects that have best chance to close. A Propensity-To-Buy model helps[…]
