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Top 3 ways to use Computer Vision in real estate

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We live in a world of fast-paced technological changes, and the adoption of computer vision is no longer an option. According to  Tractica , the computer vision market is expected to reach 26.2 billion US dollars by 2025, and the real estate sector is not an exception. Nowadays, real estate cannot really function without computer vision technology, but the technology is also being used for algorithms that identify, categorize, correlate real estate specific features that present consumers with results that meet their requirements and expectation. But how beneficial AI-based computer vision technology for real estate sector? Let’s delve into details below! Below you can read about the most  popular benefits: - users can search the properties with a voice-enabled command;  - prospects can search property listings that meet their requirements via mobile devices;  - technology increases the number of pictures real estate platforms can support;  - property platfo
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How to increase e-commerce revenue with Сomputer Vision.

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With today’s advanced technologies, many consumers have started to prefer shopping online to brick-and-mortar offline stores. Now consumers can find an item they like online and make a decision to buy it. AI-driven computer vision technology is transforming the way people are shopping online and will likely reshape their habits of purchasing. From product discovery to placing an order, computer vision solutions have become a significant element in e-commerce business moving customers through their purchasing journey that help them to boost revenue and flourish businesses. Below, we have outlined how computer vision can make the customer journey more seamless and tend to make purchases. 1. Discover products better AI-powered computer vision has found its way in the earliest stages of the customer buying process. Now consumers can spot an item on the street, scan it into their devices — smartphone or laptop — and be directed to the e-commerce webpage where this item is
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Recognition is here to stay in Finance Facial

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Recognition is here to stay in Finance Facial AI-fuelled computer vision technology is disrupting financial services. The online banking growth has had a transformative impact on how people are managing their financial accounts and making payments. The increasing sophistication of fraudulent transactions and virus attacks can cost financial organizations millions of dollars, loss of data and customer confidence, and negative brand reputation. One potential solution to this problem is facial recognition technology, a process of identifying or verifying the identity using face in photos, video, or in real-time. Let’s take a closer look at some facial recognition approaches applied these days. Facial Recognition Approaches Below we have proposed some methods to improve facial recognition accuracy rate. Classical Approach.  It is not effective when working with combined pose, occlusion and illumination variations. Developers usually apply it when working with small data asse
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Computer vision technology doesn’t stop at fingerprints

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Computer vision technology doesn’t stop at fingerprints Today’s digital advancements offer tremendous opportunities to perform different actions online such as shopping, banking, and making payments. Using the confidential and sensitive data to perform all of these activities involves that it can be stolen to gain access to financial accounts or to commit fraud. The global market of biometric systems is forecast to reach an estimated 32.4 billion U.S. dollar by 2022 growing at a CAGR of 15% from 2017 to 2022. The market of computer vision biometric systems gains traction laying the groundwork for further development. Being a strong mechanism of authentication, biometrics systems developed with computer vision algorithms deal with the identification of some unique biological traits, such as vascular pattern/iris, fingerprints, face, gait or speech and enable to highly protect your sensitive data. Individual’s biometric traits or features are the only things that cannot be pr
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Computer Vision – All You Need to Know | Augmented Reality🖤

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Top 5 hottest computer vision apps

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            A field of artificial intelligence, computer vision technology teaches computers what to do with the information it gains and how to comprehend it. Advances in computer vision technology allow turning images databases into learning algorithms so that computers can interpret these images over the course of many trials.            Computer vision can assist humans to do jobs better, whether that’s surgery or security; also process thousands of images at once, providing rich metadata and insights about collections of images as a whole. Finally, it never gets tired or irritated, opening up a host of applications to observe, secure, and elicit real-time data about the external world.            Recently, businesses have been leveraging this technology for their business cases. The potential of computer vision applications is changing everything from our doctor’s visits to the way we do shopping. Let’s have a look at the top 5 computer vision applications below:
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How computer vision reinvents the automation

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AI-based computer vision software is highly deployed in a wide array of manufacturing and customer-related applications. But wherever it is applied, it typically brings about efficiency and innovation crossing the line on what’s possible in automation sector. AI-powered machine vision systems or software optimize the manufacturing process within the automotive business vertical, where any errors in a highly competitive industry can be wasteful. There are tremendous advantages to utilize the computer vision algorithms and applications powered with AI in the automotive industry. Let’s take a look at how computer vision is beneficial for you: High-quality level.  Improved performance.  Flexibility of production. More complete and credible information.  Tight industrial inspection.  Lower capital equipment and production costs.  Reduced floorage.  Decreased percent of defective goods.  The application field of computer vision Let’s delve into the applicatio
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