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5 posts tagged with "machine learning"

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· 12 min read

yoloV8

Introduction:

The newest model, YOLOv8, is a member of the most well-known family of object recognition and classification models in the field of computer vision (CV), the YOLO algorithm series.Thanks to the incorporation of many modifications including spatial attention, feature fusion, and context aggregation modules, it performs better than previous iterations.These improvements result in faster and more accurate object detection, making YOLOv8 one of the most significant object detection algorithms in the market.

This article introduces the most recent version of Ultralytics' YOLOv8, a well-known real-time object recognition and image segmentation model. This version offers remarkable speed and accuracy by utilising the most recent advancements in computer vision and deep learning. Because it's implemented in the user-friendly Ultralytics Python package, its effective architecture supports a broad range of applications and can be easily adapted to a variety of hardware platforms, from edge devices to cloud APIs.precise identification of objects.

· 3 min read

Detection of Road Potholes Using Computer Vision

In today's tech-driven world, the fusion of Computer Vision and Flutter opens up exciting possibilities for creating intelligent mobile applications. In this detailed guide, we'll walk through the process of building a Pothole Detection AI model using https://navan.ai/, deploying it to obtain an API, and integrating it into a Flutter app for real-time pothole detection.

· 5 min read
Sushmith Banoth

Computer vision is a field of artificial intelligence that focuses on teaching computers to interpret and understand visual data from the world around them, such as images and videos.

cover-for-manufacturing

In manufacturing, computer vision can be used to automate a variety of tasks, such as quality control and inspection. For example, a manufacturing company could use computer vision to automatically inspect products for defects or to monitor production processes to ensure they are running smoothly. This can help to improve the efficiency and accuracy of the manufacturing process, while also reducing the need for manual labor.

· 4 min read
Sushmith Banoth

challenges-of-ai

Challenges in AI development

Artificial Intelligence market size is growing and it is said that it can grow up to $15.7 trillion by 2030, as quoted in the research paper https://www.europarl.europa.eu/RegData/etudes/BRIE/2019/637967/EPRS_BRI(2019)637967_EN.pdf

As AI grows, the impact and challenges rise parallely as well. Let's see some of the most common challenges in Artificial Intelligence Development.

· 4 min read
Sushmith Banoth

Employ your CCTV Cameras for Facial Recognition using AI

The pandemic has changed the way we live. People have become extremely conscious of every surface they touch and that worry takes up a significant part of the brain and leads to anxiety. There are some simple ways in which you can avoid this at spaces which require people to tap a RFID card or register their fingerprint to get access to the space. This can be done by using facial recognition along with the cameras placed at these entry points.