Anonymizing Medical Videos: The Future of Healthcare Data Protection
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…
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Three Essential Features of Enterprise AI
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…
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A Comparison of Real Time Vision AI Pipelines
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…
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Video Anonymization: Protect Privacy and Monetize Data
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…
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Reduce cost and Monetize Video Streaming with AI/ML
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…
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Transform your Inventory management. Embrace AI/ML.
Introduction Enterprises often face challenges when it comes to managing their warehouses and ensuring the smooth transfer of products. With an enterprise growing big, the challenges of managing inventory also rise. This results in enterprises spending a large amount on managing the inventory leading to large expenses. However, […]
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Impact of AI and ML on video streaming devices for the better TV experience
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 &[…]
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Quantization of Neural Network Model for AI Hardware
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[…]
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Smart Retail – Digital Transformation of Retail Business
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[…]
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