Author: vp
Deep learning computer vison techniques to measure, read (OCR) and classify with no-code
In the realm of computer vision, deep learning has unleashed a revolution, transforming the way we detect and segment objects in images. This powerful branch of artificial intelligence has not only made object detection and segmentation more accurate but has also opened up new possibilities for text extraction through Optical Character Recognition (OCR) technology. With […]
Machine vision AI for automation, quality control, robotics, and other applications the AI way
The rapid advancements in artificial intelligence (AI) and machine vision technologies are revolutionizing industries across the globe. Traditional computer vision solutions have long been limited by their dependence on static images for analysis, but the increasing capabilities of Graphics Processing Units (GPUs) have opened up new possibilities by enabling video processing. This shift from image […]
Turn Any Security Camera into an AI Smart Camera (Smart CCTV)
Transforming existing security cameras into AI smart cameras using edge devices offers numerous benefits, including cost-effectiveness, familiarity, and sustainability. By leveraging the power of AI and edge computing, users can enhance the effectiveness of their security systems without the need for extensive infrastructure changes.
How to Train a Convolutional Neural Network for Object Detection
Training a Convolutional Neural Network (CNN) for object detection can be a complex and daunting task, requiring a deep understanding of model architectures, data augmentation techniques, evaluation metrics, and hyperparameters. However, in this blog post, we aim to simplify the process for you by providing a comprehensive guide that covers the essential aspects of training […]
Exploring Image Segmentation Algorithms for Computer Vision
Computer vision, the field of artificial intelligence that enables machines to perceive and interpret visual information, has revolutionized numerous industries and applications. One of the fundamental tasks in computer vision is image segmentation, which involves partitioning an image into distinct regions to extract meaningful objects or boundaries. This process plays a vital role in various […]
AI Implementation: Keys to Success and Avoiding Failure
Implementing artificial intelligence (AI) in business can lead to significant productivity gains, but it also comes with risks. According to Forbes, a staggering 60% to 80% of AI projects end in failure, and only 54% of them make the transition from prototype to production-ready applications (Schelzer, 2022; Gartner, 2022). So, what differentiates successful AI initiatives from the failures?
Exploring the Basics of Deep Learning AI Computer Vision
Deep Learning AI Computer Vision is a powerful tool for understanding and analyzing visual data. It uses artificial neural networks to identify patterns and objects in images and videos, allowing for more accurate and efficient analysis than traditional methods. With its ability to process large amounts of data quickly, it is becoming increasingly popular in many fields.