Category Archives: Facial recognition

By 2022, there will be 45 Billion Cameras

analytic, Artificial Intelligence, Augmented reality, big data, computational imaging, computer vision, Content Recognition, depth imaging, Emotion analysis, Facial recognition, imaging, mobile, photo organizing, PhotoTech, study, technology, visual recognition August 18, 2017 Paul Melcher 1 Comment

It might have all started when Snapchat rebranded itself “A camera company”. Or even long before, in 2002, when Nokia decided to put a camera on their cell phones. Whenever it happened, it is still really only the beginning… “It” is the moment the camera became forever separated from its original format, a lens on a movable box, and its original intent, recording personal memories. The shift was triggered when film became digital and thus transforming images into data files. Not only could images be easily and…

Photo storage 4.0 – it’s deduplication, stupid!

content, Facial recognition, Interface, mobile, Mobile Photo Connect, photo organizing, photo sharing, Search, study August 3, 2017 Hans Hartman 1 Comment

In the first part of this two installment piece, we reported on the following findings from our latest survey among 458 North American smartphone photographers: The median number of photos that consumers believe they take per month is remarkably similar to what it was 1.5 years ago – it is neither plummeting nor ballooning. Smartphone photography has matured. Even with ephemeral visual communication rapidly gaining popularity, most respondents still believe that most of their photos are long life photos (“keepers”) Most consumers hoard their photos on their…

Cloud or On-Premise visual A.I. : Which should you pick ?

analytic, Artificial Intelligence, big data, computer vision, content, Content Recognition, Facial recognition, Interface, marketing, photo organizing, photo sharing, PhotoTech, Social Media, technology, visual recognition July 19, 2017 Paul Melcher Leave a comment

Today, all of the visual recognition APIs are connected to the cloud making them not only extremely easy to deploy but highly scalable. However, not all data is equal and in some instances, this might not be the best route to take. Consider, for example, some of the intrinsic security issues of a cloud as listed by the CSA (Cloud Security Alliance): Data breaches, compromised credentials, account hijacking, malicious insiders, loss or theft of intellectual property, compliance violations or regulatory actions. While Google Cloud, Amazon…

WWDC takeaways: lots of great news for photo app developers, but one major puzzler

Artificial Intelligence, Augmented reality, computational imaging, content, Content Recognition, Facial recognition, mobile, Mobile Photo Connect, news, photo merchandise, photo organizing, photo sharing, tablet, visual recognition June 9, 2017 Hans Hartman 1 Comment

The photo app developers I spoke with are overwhelmingly excited about a range of WWDC announcements, even though one of these dumbfounded several developers. We’ll get into that one later; let’s start with the four most exciting announcements. ARKit: making mixed reality easier to create and more realistic to view Apple’s OS 11 developer ARKit enables developers to build mixed reality apps that interpret the imagery from the user’s iPhone camera by identifying surfaces, tracking motion, estimating scale as well as ambient lighting, and by providing fast and…

34543099675_bb8dd53949_smartphone-google

Google: what’s wrong with a lack of jaw-dropping announcements?

Artificial Intelligence, Augmented reality, computer vision, content, Content Recognition, Facial recognition, google, Interface, mobile, Mobile Photo Connect, photo merchandise, photo sharing May 23, 2017 Paul Melcher Leave a comment

In short: Nothing. With an emphasis on incremental improvements to Google’s photo organizing, sharing and search solutions, Google’s maturing solutions are now becoming so easy, efficient, and helpful that many consumers will feel they can’t live without them. Perhaps equally important, Google is opening up more and more of its supporting AI technologies to developers – for companies who can’t afford to hire an army of AI PhDs. The Google I/O announcements important to mobile imaging vendors To put the photo-related announcements in perspective, note…

Move over Snap: Facebook is the camera company to beat

Adobe, Augmented reality, computer vision, content, Content Recognition, Facial recognition, mobile, Mobile Photo Connect, Snapchat, Social Media, visual recognition, wearable April 25, 2017 Hans Hartman Leave a comment

It’s the platform, stupid Just as the world finally figured out why Snap relabeled itself as a camera company, last week Facebook proclaimed it’s not just a camera company, it’s a camera company built on the world’s ambitious augmented reality platform. Let’s add some perspectives to their F8 announcements: Recently, Facebook has put its camera front and center in its various properties (not just Instagram, but also Facebook, Messenger, and WhatsApp). For instance, in Messenger, this changed the traditional texting workflow, which normally starts with…

LDV Vision Summit : 10 Questions for a Research Scientist @ Google

Artificial Intelligence, Augmented reality, computer vision, Content Recognition, Facial recognition, interview, LDV Summit, photo organizing, research, visual recognition April 20, 2017 Paul Melcher Leave a comment

From automatically organizing personal photos, monitoring crops, medical diagnostic, driving cars, security monitoring, computer vision is always everywhere. Not surprising since we, as human beings, use vision as our primary tool to understand the world around us. For a search engine like Google, it does make perfect sense to be one of the leaders in research. Ahead of her keynote address at the upcoming 2017 LDV Vision Summit, we spoke with Google Research Scientist Tali Dekel to learn more: A little bit about you. what is…

6798949674_a537603341_Mobile-World-Congress-17

The five most interesting product launches at Mobile World Congress (Barcelona) and Business Forum Imaging (Cologne)

computational imaging, Facial recognition, flickr, imaging, Interface, mobile, phablet, photo merchandise, photo sharing, PhotoTech, tablet, technology March 9, 2017 Hans Hartman Leave a comment

Nostalgia, minimalistic product design, and a new approach for connecting DSLRs to the cloud Mobile World Congress Nokia 3310 – As discussed previously, today’s infatuation with instant printing reflects consumers’ desires – not just for instant and more personal ways to share their photos, but also for nostalgic retro products. At Mobile World Congress, Nokia (actually HMD Global, the company licensing the Nokia brand) announced the Nokia 3310, a modern variation of the iconic Nokia feature phone. Light – While the Nokia announcement got all the attention, a startup called Light (not to be…

You Are Brilliant and You Want More Exposure

Artificial Intelligence, Augmented reality, computational imaging, computer vision, Content Recognition, Emotion analysis, Facial recognition, imaging, investment, LDV Summit, mobile, photo organizing, photo sharing, PhotoTech, research, study, technology, thermal, UGC, visual recognition March 1, 2017 Evan Nisselson Leave a comment

Every second of every day, people around the world are publishing research papers and launching new startups that leverage computer vision, machine learning, and artificial intelligence. Researchers and professors want their work to be noticed in the midst of a flood of new work. Entrepreneurs want to build valuable businesses, get covered in Techcrunch, Wired, Wall Street Journal, want to raise financing and want happy customers. We want to help you! We have been organizing the premier annual visual technology summit since 2014 called the…

Any marketer who’s not using image A.I. is missing out

advertising, analytic, Artificial Intelligence, big data, Brands, computer vision, content, Content Recognition, Facial recognition, flickr, Instagram, marketing, photo sharing, Pinterest, Snapchat, Social Media, Twitter, UGC, visual recognition February 9, 2017 Paul Melcher Leave a comment

Everyone knows the number and it doesn’t lie: 1.6 Billion images uploaded daily. Out of the main platforms people use to communicate daily, the top 5 (Instagram, Snapchat, Whatsapp, Facebook, Pinterest) use almost exclusively photographs. It is estimated that 75% of the web’s real estate is also made of images. Yet marketers seem to completely ignore mining this vast pool of extremely valuable information, choosing to rely instead on inefficient hashtags or vague keywords. The numbers tell the story: Snapchat (8,796 photos shared per second), Whatsapp (8,102 Photos shared…