Manufacturers of medical devices and critical components consistently struggle with quality control. An over-reliance on manual inspection — and the inherent human error that comes along with it — regularly leads to both financial and environmental waste, as well as potential harm to consumers and to the manufacturer’s brand reputation. Today, however, automated inspection systems […]
Introduction Image classification is a fundamental task in computer vision with applications in medical imaging, autonomous driving, security, and e-commerce. As deep learning models advance, evaluating them correctly ensures reliability, minimizes errors, and enhances real-world performance. Many data scientists rely on accuracy as the primary evaluation metric. However, accuracy can be misleading, especially when dealing […]
The digital age thrives on visual content, from social media graphics to blockbuster movie visuals. Visual storytelling has become indispensable for brands, artists, and creators aiming to captivate their audiences. Enter artificial intelligence (AI), a game-changer in visual content creation. AI tools are enabling creators to produce high-quality visuals faster and more efficiently, democratizing design […]
In an era of rapidly advancing technology, understanding the nuances between different methodologies is crucial for professionals and enthusiasts alike. Two terms that are often used interchangeably but are distinct in their applications are computer vision and image processing. At Akridata, where we leverage deep learning for advanced image inspections in product manufacturing and asset […]
In recent years, the integration of machine vision systems in robotics has revolutionized industrial processes, automating tasks that once required human intervention. From manufacturing to asset monitoring, these systems have expanded the possibilities for robots, making them more efficient, precise, and capable. In this article, we’ll explore the fundamentals of machine vision in robotics, its […]
Deep learning, a subset of machine learning, has revolutionized industries ranging from healthcare to manufacturing. At the heart of this transformation lies optimizers – key components that fine-tune deep learning models for superior performance. In this guide, we’ll explore what optimizers are, their significance, types, and how they influence the development of high-performing computer vision […]
Classification and clustering are two fundamental concepts in machine learning and data analysis. While both aim to categorize data, their methodologies and applications are distinct. This guide explores the key differences, real-world examples, and use cases of classification and clustering to help you choose the right technique for your project. What is Classification? Classification is […]
Medical imaging has long been a cornerstone of diagnostic medicine, enabling clinicians to visualize the internal structures of the body with remarkable detail. With the advent of deep learning, information processing in medical imaging has reached new heights, transforming accuracy, efficiency, and diagnostic capabilities. This article explores how deep learning is reshaping medical imaging and […]
Medical imaging is at the forefront of modern diagnostics, and deep learning has significantly enhanced its capabilities. Among recent advancements, the Modified Double U-Net architecture stands out for its exceptional performance in medical image segmentation. By stacking two U-Net architectures and introducing innovative features, it offers unparalleled accuracy and efficiency in detecting abnormalities. What is […]
In digital image processing, converting real-world images into a digital format is a crucial first step. Two essential processes, image sampling and quantization, allow computers to transform continuous, analog images into digital form that can be stored, processed, and analyzed. Together, these concepts are fundamental for creating digital images with accurate visual representations, impacting everything […]