Summary – Computer vision works much the same as human vision, except humans have a head start. In this article, we talk about the true definition of computer vision, how to benefit from computer vision technologies and the key examples of computer vision applications that are transforming industries. Scroll down for more information. Table of Contents • The Automotive Industry • Disaster Relief and Emergency Situations • Agriculture • Healthcare • Security • Retail and Inventory Management • Finance • Advertising • Education • Waste Management Computer vision enables computers to perc ..read more

A smart city is often described as a modern urban location that uses digital tools to automate systems and collect data to efficiently manage assets, resources and services to improve life for its inhabitants. The end result?  A city that operates more efficiently with fewer resources, increased levels of safety, reduced emissions and improved infrastructure.  Yet, while New York, London, Tokyo, and Singapore have been leading the way in smart city design, many smaller towns and rural villages are now following suit, gearing up to undergo their own digital transformations to make th ..read more

U.S. Patent Granted for Computer Vision Services Wovenware, a nearshore provider of Artificial Intelligence (AI) and digital transformation solutions, today announced that the U.S. Patent and Trademark Office has issued it Patent No. 11,024,032 B1. The patent addresses the company’s system and method for generating synthetic overhead imagery based on cluster sampling and spatial aggregation factors of existing data-sets. The patented method is used by Wovenware to develop highly accurate deep learning-based computer vision models for government and commercial applications in regulated industr ..read more

In the past half-decade in Puerto Rico, we have had our fair share of catastrophic events such as hurricanes and earthquakes. These events have left significant parts of the population without power for extended periods of time, often ranging from days to weeks, or even months. As society becomes ever more connected and reliant on power and utilities, the more increasingly disruptive these catastrophic phenomena become to essential services for millions of people. This is one of the driving reasons behind the growing adoption of self-sustainable technologies such as solar power generation. As ..read more

The Era of Digital Transformation Digital transformation is the disruption of business through digital technologies, changing how a business operates and delivers value to customers. For the past few years, digital transformation has been a key item on the agendas of CxOs everywhere. We’ve been explaining to our clients what digital transformation means and its implications in business, budget, culture, technology and competitiveness. The question that we get asked the most is: “Does digital transformation push innovation?” And, the answer is a resounding yes. The next question we always get i ..read more

Sometimes it can be difficult to fairly compare different object detectors. After all, no single object detector can fit every data model. Understanding the data can give us a sense of direction in terms of what architectures to use. Recently, I set out to test which models or strategies could be used to improve the detection of small scale objects. I ran some experiments with the RetinaNet implementation from the paper Focal Loss for Dense Objects. After experimenting with it, I can see why RetinaNet is a popular one-stage object detection model that can work well with small-scale objects. I ..read more

How to benefit from computer vision applications  SVisComputer vision enables computers to perceive, interpret, and understand information from digital images and videos. What has been key to effective computer vision is deep learning. It has proven to excel at computer vision tasks like object detection, image generation, style transfer, and image captioning. In addition, Deep Convolutional Neural Networks (CNNs) have improved computer vision tasks in such a way that it has influenced great innovations across many industries. It may be surprising to learn how greatly computer vision appl ..read more

✕ Perhaps you’re well on your way to learning about computer vision and have studied in-depth, all about image classification and sliding window detectors. After grasping these concepts, the leap to understanding state-of-the-art (SOTA) object detection can often become daunting and obscure, especially when it comes to understanding anchor boxes. Needless to say, diving into a plethora of SOTA papers such as the popular YOLO, SSD, R-CNN, Fast-RCNN, Faster-RCNN, Mask-RCNN, and RetinaNet to learn about anchor boxes for deep learning is an uphill endeavor. This becomes especially difficult when ..read more

SAN JUAN, Puerto Rico, Sept. 24, 2019 –Wovenware, a U.S. nearshore provider of Artificial Intelligence (AI) and software development services and solutions, today announced that it has tripled the size of its corporate headquarters, moving the company’s operations to a 13,000-square foot facility on Calle Los Angeles in San Juan, Puerto Rico, only a half-mile from its previous location. The move was made to accommodate the company’s expanding staff and client base, as well as its growing portfolio of services and solutions. “We are committed to expanding our presence in Puerto Rico and across ..read more

I recently had the opportunity to participate in a panel hosted by the Intelligence and National Security Foundation (INSA). The event was sponsored by Booz Allen Hamilton, and discussed how 8(a) businesses can get started in the intelligence and national security market. The 8(a) Business Development Program is a business assistance program that offers support to firms that are owned and controlled at least 51 percent by socially or economically disadvantaged individuals. During the panel, I joined Dr. James DeBardelaben, president and CEO of IvySys Technologies, in helping attendees underst ..read more