With technology continuing to move on at a swift pace, there's been plenty of recent discussion as to whether digital renders can truly ever replace product photography. Taking this one step further, is it possible that one day, artificial intelligence could simply create images without needing any input from a photographer or digital artist at all? As photographers, we often marvel at how amazing modern technology can be, how magical that new "must-have" camera feature is, or how smart the image-processing software has become. I don't consider myself to be especially old, but when I think back to using a manual-focusing 35mm SLR (because that's all we had to use, not because I'm a hipster) and compare that experience to the incredible face detection or eye detection autofocus on modern mirrorless cameras, it's hard to believe these huge technological advances have happened within my lifetime. Even the act of sitting in my living room, controlling the lighting and home entertainment with my voice, or video-calling a friend in another country on an iPad are literally things that my child self would have considered science fiction.
Drones are everywhere these days, filming dramatic reveals and awe-inspiring scenery for social media platforms. The problem is, they're not exactly approachable for beginners who have only ever used a smartphone. Last month, Snap debuted the $230 Pixy drone exactly for those people. It requires very little skill and acts like a personal robot photographer to help you produce nifty aerial shots. You don't need to pilot the Pixy.
FacePhi and CyberLink earned passing marks in evaluations to the biometric presentation attack detection (PAD) standard from the International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC) to demonstrate that their face biometrics systems can detect fraud attacks known as spoofing. The trials were conducted by iBeta Quality Assurance in Colorado, which is certified by U.S. National Institute of Standards and Technology National Voluntary Laboratory Accreditation Program (NIST NVLAP). FacePhi received confirmation of its ISO/IEC 30107-3 Level 2 compliance to prove its facial recognition system's protection against identity fraud and impersonation with more sophisticated attack methods. The test consisted of FacePhi's digital onboarding and authentication solutions being subjected to phishing attacks using animation software, latex and resin masks, and 3D photography. "With this letter of compliance granted by iBeta, FacePhi demonstrates that its technology is strong and resistant to attacks, both level 1 and level 2 in accordance with ISO 30107-3", says Jorge Félix, quality and systems director of FacePhi.
Samsung has applied approximately 60 new AI models run by the neural processing unit (NPU) to optimise the functions of the Galaxy S22 Ultra smartphone camera, a company executive said. This has allowed the South Korean tech giant to offer camera experiences that can satisfy casual users with the best photographs possible and professional users with RAW files equivalent to those taken on DSLR cameras, said Joshua Sungdae Cho, vice president and head of visual software R&D at Samsung's MX Business, in an interview with ZDNet. "We've applied NPUs to our smartphones for the first time three years ago," said Cho. "At the time, these NPU ran approximately 10 AI models. On the Galaxy S22 Ultra, there are now 60 AI models. Basically, the NPU is involved in nearly all functions of the cameras."
Xiaomi announced its flagship 12-series smartphones in China towards the end of December 2021, and has now given the three new handsets – Xiaomi 12 Pro, Xiaomi 12 and Xiaomi 12X – a global launch. The 12 Pro and 12 phones are based on Qualcomm's top-end 4nm Snapdragon 8 Gen 1 chipset, while the 12X is powered by the less powerful but more power-efficient 7nm Snapdragon 870 5G mobile platform. The 12-series phones employ what Xiaomi calls a'high-performing cooling system' including a'super large' vapour chamber and multiple layers of graphite. All three devices have 120Hz AMOLED displays (6.73 inches on the 12 Pro and 6.28 inches on the 12 and 12X), with 12-bit colour support – that's 68.7 billion colours – available on the two 6.28-inch devices. There are triple rear camera arrays across the board, and Xiaomi is highlighting advances in AI-assisted photography and videography with the 12-series phones.
TL;DR: As of Feb. 1, the Pivo Pod Red Auto-Tracking Motion Smartphone Mount is on sale for $99.99, which is a 9% discount from its regular price of $109. When it comes to producing high-quality visual content, a tripod is essential. There are plenty of options on the market, but if you're holding your photo sessions and video shoots yourself, you want something that's going to improve the process, not obstruct it. More than just a stationary phone holder, the Pivo Pod Red basically acts as a cameraperson, which is a major game-changer for those who work solely on their own content. And for a limited time, you can slash a few bucks off its usual price.
The TriRhenaTech alliance presents the accepted papers of the 'Upper-Rhine Artificial Intelligence Symposium' held on October 27th 2021 in Kaiserslautern, Germany. Topics of the conference are applications of Artificial Intellgence in life sciences, intelligent systems, industry 4.0, mobility and others. The TriRhenaTech alliance is a network of universities in the Upper-Rhine Trinational Metropolitan Region comprising of the German universities of applied sciences in Furtwangen, Kaiserslautern, Karlsruhe, Offenburg and Trier, the Baden-Wuerttemberg Cooperative State University Loerrach, the French university network Alsace Tech (comprised of 14 'grandes \'ecoles' in the fields of engineering, architecture and management) and the University of Applied Sciences and Arts Northwestern Switzerland. The alliance's common goal is to reinforce the transfer of knowledge, research, and technology, as well as the cross-border mobility of students.
The Pixel 6 and 6 Pro are finally here, and they're the most promising phones from Google in years. We've already seen plenty of pictures and videos of the Pixel 6, but now we actually have devices to play with and detailed specs to share. One of the highlights of the Pixel 6s are the cameras, which not only received a processing boost thanks to Tensor, but also a serious hardware upgrade. Additionally, these handsets bring faster-refreshing screens, Android 12-exclusive features and significant voice recognition enhancements. But the best thing about the Pixel 6 and 6 Pro is the reasonable price.
Signal capture stands in the forefront to perceive and understand the environment and thus imaging plays the pivotal role in mobile vision. Recent explosive progresses in Artificial Intelligence (AI) have shown great potential to develop advanced mobile platforms with new imaging devices. Traditional imaging systems based on the "capturing images first and processing afterwards" mechanism cannot meet this unprecedented demand. Differently, Computational Imaging (CI) systems are designed to capture high-dimensional data in an encoded manner to provide more information for mobile vision systems.Thanks to AI, CI can now be used in real systems by integrating deep learning algorithms into the mobile vision platform to achieve the closed loop of intelligent acquisition, processing and decision making, thus leading to the next revolution of mobile vision.Starting from the history of mobile vision using digital cameras, this work first introduces the advances of CI in diverse applications and then conducts a comprehensive review of current research topics combining CI and AI. Motivated by the fact that most existing studies only loosely connect CI and AI (usually using AI to improve the performance of CI and only limited works have deeply connected them), in this work, we propose a framework to deeply integrate CI and AI by using the example of self-driving vehicles with high-speed communication, edge computing and traffic planning. Finally, we outlook the future of CI plus AI by investigating new materials, brain science and new computing techniques to shed light on new directions of mobile vision systems.
Profession drone pilots needs to consider that they will be generating huge amounts of data in the form of photos and video. High quality images, along with 4K and even 5.4K video takes up a crazy amount of space, and if you don't plan for it right at the start, you're quickly going to get swamped by it. I've been a pro-am photographer for years and know just how quickly gigabytes can fill up, but even that didn't prepare me for getting into drone photography and videography. Must read: Why you need to urgently update all your iPhones, iPads, and Macs - NOW! There's are two aspects to handling the photos and video once they have been captured onto high-quality microSD cards (I only use SanDisk Pro or Extreme Pro cards from reputable suppliers -- cheap cards can't handle the data speeds needed for 4K and 5.4K, and fake cards are hugely unreliable). The first is ingesting the data off the cards, and the second is storage.