Consumers today live in a mobile-first world. According to research from App Annie, "consumers logged a record 3.8 trillion hours on their mobiles in 2021 and downloaded some 230 billion apps." Further putting a stamp on mobile dominance is that Americans, on average, are now spending less time watching TV and spending more time on their mobile phones. As we all spend more time on our devices, technology leaders are being pressured to deliver more and better native mobile experiences faster than ever before. From banking to retail, healthcare to transportation, every industry is realizing that offering mobile app experiences is critical to survival.

Incorporating biometric technology into your access control system can solve some of these challenges, and it's likely that you've done your research and product comparison on the various biometric solutions that exist in the market. There are a few options to consider, including fingerprint or iris scanning, voice detection, and – most prominently – face recognition. In this eBook by Oosto we will dive deep into the 4-step process of implementing visually intelligent access control and how visual intelligence not only solves major challenges, but also offers a number of additional benefits. Please fill out the following brief form in order to access and download this white paper.

SparkCognition, a global leader in artificial intelligence (AI) software solutions perfected for business, is pleased to announce it has signed a definitive agreement to acquire Integration Wizards, a leader in visual AI. Through this acquisition, SparkCognition expands its IP portfolio to include computer vision capabilities, bringing greater value to its industry solutions. The technology leverages new and diverse data sets, including CCTV feeds, drone footage, video from handheld devices, and existing camera infrastructures. The solution can be deployed in hours or days, and helps address critical problems, including safety, security, visual inspection, productivity, and situational awareness. "With advanced visual AI that can recognize complex scenes and activities we further amplify the value we deliver to our customers while leveraging existing infrastructure investments," said Amir Husain, Founder and CEO of SparkCognition.

DeepView is an AI technology recognizing human behavior. As it can be applied to preventing safety accidents caused by drinking, fainting, etc. and performing prompt emergency rescue measures. It is expected to become the core technology for making a safe city. Most existing behavior recognition technologies have a two-stage structure of detecting a person first and then recognizing the position of him/her. Therefore, they had problems of not detecting well a person with atypical postures, such as being crouched or collapsed, compared to a standing person.

A Korean research team developed a technology for detecting humans lying on the road in real-time. Therefore, preventing safety accidents in the city and rapidly responding to it will be possible, and a safer society is expected to be accomplished. The Electronics and Telecommunications Research Institute (ETRI) announced that it applied the technology of Visual AI ‘DeepView’ to Daejeon Metropolitan City in earnest to prevent safety accidents in the city and promptly respond to them. DeepView is an AI technology recognizing human behavior. It detects people lying on the road through surveillance cameras in real-time. As it can be applied to preventing safety accidents caused by drinking, fainting, etc. and performing prompt emergency rescue measures. It is expected to become the core technology for making a safe city.

SAN MATEO, Calif., September 20, 2021 -- Applitools (https://applitools.com/) announced its inclusion in new research published by Enterprise Management Associates (EMA) entitled, "Disrupting the Economics of Software Testing Through AI." According to the report, Visual AI has the highest impact on software testing as compared to other available applications of AI technology in the market today. As the first ever in-depth research report on the impact of AI on automated testing, the report found organizations reliant upon traditional testing tools and techniques fail to scale to the needs of today's digital demands and are quickly falling behind their competitors. The report identifies critical factors that hinder software engineering and DevOps teams including the escalating costs of quality control, and growing complexity associated with the increasing release velocity, number of smart devices, operating systems, and programming languages. As such, EMA Research examined the impact of six real world scenarios of traditional test automation practices.

Applitools, provider of a next generation test automation platform powered by Visual AI and Ultrafast Test Cloud, announced the Applitools Holiday Shopping Hackathon. The holiday themed contest provides developers, quality assurance (QA) professionals, and test automation engineers with a fun, real-world scenario that shows how next generation test automation cloud and Visual AI can help online retailers deliver perfect apps to make the most of the holiday sales season. Each participant competes to win prizes as they spend roughly two hours to test the functional and visual quality of the "Applifashion" retail app and make sure it is impeccable ahead of the busy online holiday shopping season. Holiday e-commerce sales totaled $167.8 billion in 2019 according to the National Retail Federation. This year, 96% of retailers expect online holiday sales to increase.*

Applitools announced today that its test automation tools have been integrated with GitHub and GitHub Actions in addition to being available on the Microsoft Visual Studio App Center. Company COO Moshe Milman said these integrations make it possible to add testing tools that incorporate machine learning algorithms, dubbed Visual AI, to a DevOps workflow using the Applitools Eyes testing platform. Those tests are run on a cloud platform dubbed Ultrafast Grid. The goal is to make it possible to easily correlate code changes across different versions of updates to web and mobile applications using any testing framework and programming language, said Milman. Visual AI can now be applied to every build and pull request, he noted.

"We are laser-focused on continuous improvements to customers' experience across our stores. By leveraging Everseen's Visual AI and machine-learning technology, we're not only able to remove friction for the customer, but we can also remove controllable costs from the business and redirect those resources to improving the customer experience even more." This post was inspired by a recent Kroger article announcing the deployment of visual artificial intelligence (AI) in 2500 stores and new IHL Group edge computing research. Multiple technological trends have been converging for some time and their combination is leading to transformative store operations improving solutions. By 2021, one billion video cameras will be deployed around the world.

While it's clear what's pushing AI to the edge, there are a number of different ways to implement AI at the edge. For engineers, choices are always welcome, but when it comes to AI, it's not always obvious which processors and software are optimal for different applications. The Embedded Vision Summit might be the right place to start for clarity. The event is renowned for being a great place to see real-life demos, as well as for informative sessions on what is both possible and practical today with embedded computer vision and edge AI. Recently this sector has become dominated by AI and machine learning techniques, so as you'd expect, the program reflects that, featuring many AI chip makers and other AI industry experts.