face recognition app
I used face recognition app to hunt man behind whisky fraud
I have spent years investigating serious criminals. From human traffickers and gunrunners to contract killers and cocaine smugglers. One thing I never thought I'd end up investigating was whisky. BBC Producer Liam McDougall told me of a source he had – a whistleblower – who said that organised crime had infiltrated the whisky industry, that he had compiled a hitlist of suspect whisky investment companies, and would we be interested in looking into it? One of those on the list was a company called Cask Whisky Ltd.
Face Recognition: What Can a Face Recognition App Be Capable Of and How to Make It Happen?
There Is a Range of Tasks Your Face Recognition App Can Be Designed to Perform If You Use the Right Face Recognition Methods. The Facial Recognition technology has been one of those, gaining ground fastest over recent years and one that is still, obviously, pretty far from its heyday. Invented to, virtually, enhance, or rather, extend one of the 6 human senses, it is finding new, often, critically important (for example, public security-related) uses and becoming more wide-spread globally by the day. According to Researchandmarkets.com, the total worth of the global Face Recognition software market is estimated to have constituted some USD 3.85 billion in 2017 and it is predicted to reach USD 9.78 billion in 2023, thus showing a nearly threefold growth. This can only mean that while giving those better equipped with Face Recognition apps an edge and an additional means of control, the rapidly developing Facial Recognition technology is also becoming a competitive factor for businesses in various industry sectors.
Face Recognition: What Can a Face Recognition App Be Capable Of and How to Make It Happen?
There Is a Range of Tasks Your Face Recognition App Can Be Designed to Perform If You Use the Right Face Recognition Methods. The Facial Recognition technology has been one of those, gaining ground fastest over recent years and one that is still, obviously, pretty far from its heyday. Invented to, virtually, enhance, or rather, extend one of the 6 human senses, it is finding new, often, critically important (such as, for example, its role in the war on terror) uses and becoming more wide-spread globally by the day. According to Researchandmarkets.com, the total worth of the global Face Recognition software market is estimated to have constituted some USD 3.85 billion in 2017 and it is predicted to reach USD 9.78 billion in 2023, thus showing a nearly threefold growth. This can only mean that while giving those better equipped with Face Recognition apps an edge and an additional means of control, the rapidly developing Facial Recognition technology is also becoming a competitive factor for businesses in various industry sectors.
- Law Enforcement & Public Safety (0.67)
- Information Technology > Software (0.55)
How A South End Artist's Face Recognition App Is Fighting Disease
What happens when a tech artist and her gene-scientist husband try to wow the crowd at a "Nerd Nite" event in Kendall Square? They pitch an idea for an app to help fight disease by crowd-sourcing millions of 3-D digital maps of human faces. Facetopo was the brainchild of Boston documentarian and artist Alberta Chu and her husband Murray Robinson, whose brother was diagnosed with a rare disease that, like Down's syndrome, can be detected in the face. In a Q&A with Patch, Chu says some day participants could "maybe trade pictures, or eventually, find a twin." "Every user who wants to participate creates a private account and is able to download the app on either IOS or Android where we provide instructions so that you can create a 3-D face map. We have almost 4,000 faces from everywhere but we need millions in order for this to be an actual big data project. How many faces do you need to move forward with your findings? "Our milestone goal is 10,000 faces and, once we have that, we will publish our first face tree in the form of a dendogram, which is a way of looking at a large amount of biological information.
- North America > United States > Massachusetts > Suffolk County > Boston (0.40)
- North America > Canada > Alberta (0.27)
- Information Technology > Artificial Intelligence > Vision > Face Recognition (0.51)
- Information Technology > Biomedical Informatics > Translational Bioinformatics (0.50)
- Information Technology > Communications > Mobile (0.50)
- Information Technology > Communications > Social Media > Crowdsourcing (0.35)