Smart parking development implies an IoT-based system that sends data about free and occupied parking places via web/mobile application. The IoT-device, including sensors and microcontrollers, is located in each parking place. The user receives a live update about the availability of all parking places and chooses the best one. Learn more about how to build an IoT-based smart parking system.
Biometric face recognition technology is a key to security. Finding someone’s photo or video on Facebook or Youtube is easy. These images and videos can be used for ill intent. Face recognition-based biometric authentication systems are vulnerable to attacks via paper photographs, screen replay or 3D face reconstruction. A security system designed to prevent face spoofing is important. Following is an overview of presentation attacks and anti-spoofing techniques powered by Machine Learning.
Background removal and blur in a real-time video are in high demand in 2023. Their implementation can be comparable with the snowball effect. This avalanche will eventually sweep all platforms for video meetings. This fact is confirmed by the experience of market leaders that have already implemented such tools. Learn more about how background removal with deep learning works.
IoT technology allows building managers to measure and control the interior environment of temperature, carbon dioxide levels, and humidity. This effort creates the optimum working environment for each employee and reduces energy consumption. In this article, we will overview an engineering approach to building a smart office ecosystem and identify some IoT security concerns for smart office applications.
Since the first release of Flutter in 2017, this framework gained leading positions among cross-platform mobile development technologies. We did explore Flutter for Web as it was in early beta. And yes – we are excited to research what the technology can offer after its improvement. What’s new in Flutter 2, and which features are notable?
In simple terms, WebRTC is the technology that provides peer-to-peer communication between web browsers and mobile applications. It is known as Web Real-Time Communication, which refers to open-source projects and allows transmission of audio, video, and data. To find out the other reasons for the technology’s complexity and how to overcome them, read our article, which also describes the WebRTC use cases and the future evolution of the technology.
This article will help you to find the intersection point of WebRTC and IoT. We will dive into notable use cases of WebRTC in Internet of Things, both Device-to-Cloud and Device-to-Person, find out the perspectives of this combination for businesses, and make accurate predictions based on market statistics.
News of the metaverse can either be exciting or nauseating. On one hand, visionaries look forward to a more connected and immersive future. On the other hand, critics warn of useless technologies and dangerous investments. Although there is a great deal of controversy in the metaverse for business, there is a wealth of opportunity in the technologies that surround it. Let's figure out how businesses can use the metaverse trend.
Can a machine attempt to approach the task of creating unique content that would be indistinguishable from human-produced artefacts? Is it possible to do this with the help of generative adversarial networks (GANs) — by learning the structure of the complex real-world data examples and generating similar synthetic examples that are bound by the same structure? With the recent advances in the development of generative models, the answer seems to be yes, at least to an extent. It is proved by existing GAN applications.
In this article, we are going to take a deep dive into what the generative models are, the recent developments in the field, and the usage of GANs in business.
Augmented reality allows for powerful and intuitive solutions in navigation. By showing virtual guides in physical space through the view of a smartphone or headset, users can be directed point to point more naturally than by comparing a map to their immediate surroundings. Due to this great benefit, AR navigation can help in both indoor and outdoor environments.
This article covers use cases of image captioning technology, its basic structure, advantages, and disadvantages. Also, we deploy a model capable of creating a meaningful description of what is displayed on the input image.
The starting point of machine learning app development is a dataset, and the more data, the better result. Through obtaining a big amount of data, the model becomes more accurate in predictions. However, in the case of few-shot learning (FSL), we require almost the same accuracy with less data. This approach eliminates high model training costs that are needed to collect and label data.
The goal of this article is to describe how to implement AI-based visual inspection for defect detection. It’s not about the coolness of artificial intelligence—no, it’s about practical solutions to specific problems.
GPUs are microprocessors that are specially designed to perform specific tasks. These units enable parallel processing of tasks and can be optimized to increase performance in artificial intelligence and deep learning processes.GPU is a powerful tool for speeding up a data pipeline with a deep neural network.
Getting started with any machine learning project often starts with the question: “How much data is enough?”. The response depends on a number of factors like the diversity of production data, the availability of open-source datasets, the expected performance of the system, and the list can go on for quite a while. In this article, I’d like to debunk a popular myth about machines only learning from large amounts of data, and share a use case of applying ML with a small dataset.
I’ve been into developing mobile apps and testing GPS navigation software for quite a while. And what I love most about testing location-based apps is how they behave in real conditions. Simply put, the main challenge is reproducing the real speed a chaser reaches when driving the expected distance. Let's understand the specifics of testing GPS location-based apps.
Have you heard that Apache Cordova support is being retired from the App Center? Want to know how this will affect your existing Cordova app?
Future trends of cross-platform mobile development are already starting to emerge, and it appears that Apache Cordova won’t be included in the list of frameworks that power hybrid web apps for mobile devices. The framework was released in long ago – from a technology development perspective – 2009, and to sort out what has disrupted its stability, we will analyze Apache Cordova core, the existing competitors, and marketing signals that indicate the need to switch to other options.
In this article you will discover answers to the most common questions related to the relevance of Cordova and its alternatives.
Compared to other IT assets, web applications are especially vulnerable to attack, because they are exposed to the Internet. Many attack vectors against web applications focus on manipulating user inputs via web forms, and machine inputs via APIs.
In this article we will discuss web application vulnerabilities and the best practices for protecting web applications against malicious attacks and accidental damage. You can download the Web Application Security Requirements Checklist to secure your web application from all angles.
Single Sign-on (SSO) is a technical approach to authentication that enables a user to log in with one set of credentials to several applications and websites. The technology is based on setting up a reliable relationship between an application, known as a service provider, and an access management system. A service provider and an access management system share a certificate with identification data, which, in the case of SSO, takes the form of tokens that include email, username, or other data.
One of the biggest concerns of IoT is managing the risks associated with a growing number of IoT devices. Information security and privacy issues related to IoT devices have attracted global attention, because of the ability of these devices to interact with the physical world. IoT vulnerabilities continue to emerge, making it critical for manufacturers to emphasize IoT security by design.
IoT vulnerabilities have been discovered and exposed across many industries. These vulnerabilities threaten sensitive data as well as personal safety. Without a doubt, the Internet of Things is a prime target for hackers, and any organization that produces or uses these devices needs to be prepared.
Industry leaders around the world are using artificial intelligence to enhance their business with marketing technology. Whether it’s analyzing consumer interests and data, guiding sales decisions and social media campaigns or other applications, artificial intelligence is changing the way we understand marketing in many industries. Let’s talk about the latest ways that businesses can utilize these powerful tools to achieve their marketing goals.
The idea of checkout-free shopping in venues crystalized as Amazon Go, Tesco, Walmart, and many more. The idea of using fully-automated checkout with computer vision is a successful example of retail automation. But, a few store owners want to build a whole new outlet to run their business offline. As it requires an integrated software infrastructure, as well as imposes development and financial challenges we will discuss today.
In this article, we’ll analyze how any brick and mortar store can be automated with computer vision systems.
They can help you get an appointment or order a pizza, find the best ticket deals and bring your attention to the fact you are spending a lot on entertainment instead of investments. We are talking about AI virtual assistants, which have already become a familiar part of our daily lives. But what technologies are under the hood of AI assistants and how can you leverage them in your business? Find all the answers in this article.
Among large industrial companies, 83% believe AI produces better results—but only 20% have adopted it, according to The AspenTech 2020 Industrial AI Research. Domain expertise is essential for successful adoption of artificial intelligence in the manufacturing industry. Together, they form Industrial AI, which uses machine learning algorithms in domain-specific industrial applications.
Let’s explore some of the important trends in artificial intelligence technologies in the manufacturing industry to get a clearer picture of what you can do to keep your business up to date.
Manufacturers, to keep up with the latest changes in technology, need to explore one of the most critical elements driving factories forward into the future: machine learning. Let’s talk about the most important applications and innovations that the ML technology is providing in 2022-2023.
Financial well-being makes us feel confident and secure, and personal finance apps help us with this by analyzing our spending behavior, telling us how to save money, how to increase capital and how to achieve our financial goals. The best way to make a money management app as effective as possible for users and therefore more successful in the market is to empower it with artificial intelligence. This guide will answer all the key questions on how to build such a personal finance app.
To start deeply investigating the AI app development process, it’s important to first understand how these projects differ from regular app development projects. When it comes to AI, every problem requires a unique solution, even if the company developed similar projects earlier. On the one hand, there are a variety of pre-trained models and verified approaches for building AI. Also, AI is always unique as it is based on different data and business cases. Because of this, AI engineers often start the journey by diving deep into the business case and available data, exploring existing approaches and models.
One of the primary concerns of MDM is security. Since corporate mobile devices can access critical business data, they can threaten enterprise databases. Administrating devices through MDM provides the means to distribute software packages, set permissions, and optimize device functionality. But, ideally, MDM has to provide a way to oversee mobile devices as easily as desktop computers.
With the biggest market share and open-source nature, let’s look at how we can approach building mobile device management for Android devices.
In manufacturing contexts, industrial Internet of Things (IIoT) is important for a number of reasons. One of the most important is IoT analytics. Manufacturers need data to understand what the status of their performance is and what’s slowing them down. From there, they can make decisions to improve the efficiency of their business. This process can even be automated by combining IIoT systems with artificial intelligence.
Combining technologies together in new and innovative ways is one of the best ways to remain competitive as a business. It’s important to consider the existing manufacturing IoT trends this year to get ideas about how exactly these technologies can benefit you.
With the growing interest in OCR and Machine Learning, more and more business owners are looking for ways to apply this killing combination to optimize their business processes, and if you are one of them, this article is for you.
Let’s find out more about what OCR is, how OCR powered with machine learning is different from the original technology, and how it can be used in business.