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Do you remember watching crime shows where investigating teams used to hire sketch artists to draw the image/face of criminal described by witnesses? And they would then hunt for the person to lock him up. But one might wonder today, are these tactics still common in detecting crime or criminals? Obviously not! With the rise in Artificial Intelligence enabled Face and Image Recognition technologies , the days of sketching criminal are long gone. The process of identifying or verifying the identity of a person using their face has made investigations a lot easier today. The tools and platforms empowered by facial detection technology capture, analyze and compare patterns based on the person’s facial details. As the process is a quintessential move towards detecting and locating human faces in images and videos, the technology has transformed several sectors besides crime-investigation. In fact, today face and image recognition is considered the most natural of all biometric measurements. Be it airports, offices or even schools, face and image recognition can be located in many places. Outshining fingerprint and irises detection, facial biometrics are appraised to the preferred biometric benchmark eliminating the need for any physical interaction. Moreover, the face detection is comparatively faster than other match processes. Furthermore, big techs including Google, Amazon, Apple, Microsoft, and Facebook are vying to gain supremacy in innovating biometrics through several pieces of research and projects. We can observe a trend in the regular roll-out of theoretical discoveries in the fields of image recognition and face analysis by several software giants. For example, Facebook announced the launch of its DeepFace program back in 2014. The program would determine whether two photographed faces are of the same person, with an accuracy rate of 97.25 percent. A year later, the search engine pioneer Google introduced FaceNet. And the innovation continues to evolve to date! One of the latest trends that took the face and image detection market by boom is Emotion Recognition that analyses human emotions using real-time static images. Using the process of mapping facial expressions, the technology can identify emotions such as disgust, joy, anger, surprise, fear, or sadness on a human face. However, technology is not being taken positively by many. Certain researches and researchers as well criticized the methodology used behind emotion detection algorithms claiming it as outdated. They also found that such outdated algorithms are at high risk provoking race, gender, and other significant biases. Despite all the condemnation, market reports predict that the global image recognition market size is projected to reach US$ 81.88 billion by 2026 while the facial recognition market is expected to hit US$12 billion by 2025. Owing to the accelerating embracement of AI capabilities, the demand for such tools and products has increased worldwide. Moreover, the major regions adopting face and image recognition technologies are North America, Asia-Pacific, and the Middle East. Among others, North America is expected to witness a flourishing market in the near future. It is expected to generate a revenue of US$ 31.28 billion by 2026. On the other hand, Asia Pacific is one of the fastest-growing adopters of the face and image detection capabilities in terms of CAGR. Face and image recognition capabilities are increasingly being deployed in surveillance and security systems, data validation, tracking, and data analysis giving considerate rise to investments in the research and development of innovation in this field. The technology is more likely to catalyze the growth of disruptive technologies market in several other places in the forthcoming years.
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Google, Neven Vision & Image Recognition
Google, Neven Vision & Image Recognition
Google today acquired a key player in face and image recognition biometrics, Neven Vision. The benefits and new features which Google can roll out with Neven Vision under its belt are seemingly endless and if I were to compare the opportunity of Google’s new buy with any other recent acquisition in Google history, it would be that of Keyhole (ie. Google Earth & Google Maps).
Adrian Graham, Picasa Product Manager, made the Neven Vision acquisition announcement on the Google Blog : Neven Vision comes to Google with deep technology and expertise around automatically extracting information from a photo. It could be as simple as detecting whether or not a photo contains a person, or, one day, as complex as recognizing people, places, and objects. This technology just may make it a lot easier for you to organize and find the photos you care about. We don’t have any specific features to show off today, but we’re looking forward to having more to share with you soon.
There is, however, so much more to this acquisition beyond the photo album tagging and photo definition technology.
Patents, Video & Mobile Technology
First let’s look at the patents which Neven Vision holds. The chúng tôi site has been taken down and is serving Google messages, but a glimpse at its pre-existing pages in Google Cache reward the reader with some nice background information on the company, its patents:
Patent Number & Description
* EP1072023 : Wavelet-Based Facial Motion Capture for Avatar Animation
* 1072014 Face Recognition from Video Images
* EP1072023 Wavelet-Based Facial Motion Capture for Avatar Animation
* 218457 Face Recognition from Video Images
* 218458 Wavelet-Based Facial Motion Capture for Avatar Animation
* EP1072023 Wavelet-Based Facial Motion Capture for Avatar Animation
* 1072014 Face Recognition from Video Images
* 6714661 Method & System for Customizing Facial Feature Tracking Using Precise Landmark
* 6222939 Labeled Bunch Graphs for Image Analysis (EYEM1160/ NE01)
* 6356659 Labeled Bunch Graphs for Image Analysis
* 6563950 Labeled Bunch Graphs for Image Analysis
* 6466695 Procedure for Automatic Analysis of Images & Image Sequences Based on Two Dimensional Shape Primitives
* 6272231 Wavelet-Based Facial Motion Capture for Avatar Animation
* 6580811 Wavelet-Based Facial Motion Capture for Avatar Animation
* 6301370 Face Recognition from Video Images
As we can see from the patent list, Neven Vision is not limited to facial recognition nor image recognition through images alone and holds a nice selection of video recognition patents, specifically centered around Face Recognition from Video Images and applying this technology to the mobile phone.
US Patent Application 20050185060
Abstract
Image-based search engine for mobile phones with camera
Invented by Hartmut Neven, Sr. and Hartmut Neven
Abstract
An image-based information retrieval system is disclosed that includes a mobile telephone and a remote server. The mobile telephone has a built-in camera and a communication link for transmitting an image from the built-in camera to the remote server. The remote server has an optical character recognition engine for generating a first confidence value based on an image from the mobile telephone, an object recognition engine for generating a second confidence value based on an image from the mobile telephone, a face recognition engine for generating a third confidence value based on an image from the mobile telephone, and an integrator module for receiving the first, second, and third confidence values and generating a recognition output.
Invented by Hartwig Adam, Hartmut Neven, and Johannes B. Steffens
Abstract
This disclosure describes methods to integrate face, skin and iris recognition to provide a biometric system with unprecedented level of accuracy for identifying individuals. A compelling feature of this approach is that it only requires a single digital image depicting a human face as source data.
Besides patents & patent applications, perhaps a better way to look into what Google has brought under its wing is to look at the tangible products, businesses and clients using Neven Vision’s Technology.
First is iScout, a mobile marketing oriented product which allows users to capture an image with their cell phone camera and then send that image to iScout to receive coupons, enter contests or sweepstakes or engage in mobile transactions (from the April 6th press release):
Neven Vision conducted an intensive search to identify a mobile solution to meet all of the requirements for iScout. During this search, Neven Vision discovered the SmartPathTM Mobile Publishing Solution by Trilibis Mobile. SmartPath enables clients to easily create and manage highly-customizable rich content mobile applications to run across all major platforms, networks and devices. Using SmartPath, Neven Vision has introduced a number of enhancements to iScout, including a more intuitive user interface, the ability to save download files and a multi-lingual menu that can be localized by country.
Example, I’m walking through the woods and notice a tick has crawled up my leg and bitten me. I can use my phone (or wi-fi camera for that matter once wi-fi is widespread) to snap a picture of that rascally arachnid, its marks and its coloring to see if that tick is carrying Lymes Disease. The same method could be used to identify poisonous snakes or spiders and an antidote or treatment and time constraints for finding nearby hospitals. The possibilities are endless.
Facial Recognition on the Mobile
Neven Vision’s bread & butter product seems to be their fast mobile facial recognition which is licensed specially to law enforcement agencies. A 2005 issue of USA Today covers their technology for this niche market:
Neven Vision stands out as the only facial-recognition engine on the market that can run directly on handheld devices such as personal digital assistants, wireless phones and mobile terminals.
The company will use this capability in a new product called Mobile Identifier due out in the coming months. Geared toward law enforcement, Mobile Identifier features an on-board database and image-recognition engine. Results are immediate because officers don’t need to wait for data to be transmitted via wireless connections.
According to Liz Gannes at GigaOM, this Neven Vision mobile technology is currently being used by the LAPD in order to identify gang members.
Question is, will Google bring mobile face recognition to its consumer marketplace? Will one be able to take a picture of someone at the bar, search on Google for him or her, then be able to read that person’s blog, MySpace profile or home address? Chances are doing so would conjure up all kinds of privacy controversies, but the technology to do so is right around the corner (more on this below).
For example, I take a photo of a cute girl, or group of people at a bar. And what does Google now know about these people?
* Do they have a full head of hair, balding or bald?
Cross reference this image recognition information with what Google already knows of its registered and unregistered users and now we have oodles and oodles of marketing information at our finger tips.
Google Building Facial Recognition Database?
The obvious next question in the equation is how would Google or Neven Vision know who we are in the first place? Well, if you have a criminal record or history of gang association, or if your state openly sells their Department of Motor Vehicles license information, you’re probably in the Neven Vision database already.
But, how else can Google obtain what our faces look like? One of the reasons Google targeted (or reason for the rumors) a startup called Riya was for its tagging ability and the ability to mass-tag photos based upon the person in them, location and so on.
Gmail allows you to add pictures for your contacts. If you upload a picture, Gmail will ask you to crop the picture, to separate the face of the person. So Gmail has a database of multiple images for a lot of persons….It’s a very easy way to obtain a database of faces useful for face recognition. Algorithms for detecting and recognizing faces are good, but not good enough, and this is a great way for Google to improve their AI algorithms using the data obtained from its users.
My friend Bill Slawski brought this up during his presentation on Algorithms at Search Engine Strategies. Bill connected the whitepaper, InterestMap: Harvesting Social Network Profiles for Recommendations, to the latest Google & MySpace partnership.
The abstract of the paper is as follows:
“While most recommender systems continue to gather detailed models of their “users” within their particular application domain, they are, for the most part, oblivious to the larger context of the lives of their users outside of the application. What are they passionate about as individuals, and how do they identify themselves culturally? As recommender systems become more central to people’s lives, we must start modeling the person, rather than the user.
In this paper, we explore how we can build models of people outside of narrow application domains, by capturing the traces they leave on the Web, and inferring their everyday interests from this. In particular, for this work, we harvested 100,000 social network profiles, in which people describe themselves using a rich vocabulary of their passions and interests. By automatically analyzing patterns of correlation between various interests and cultural identities (e.g. “Raver,” “Dog Lover,” “Intellectual”), we built InterestMap, a network-style view of the space of interconnecting interests and identities. Through evaluation and discussion, we suggest that recommendations made in this network space are not only accurate, but also highly visually intelligible – each lone interest contextualized by the larger cultural milieu of the network in which it rests.”
Bill’s example of how this information gathered from Social Networks can be used is if a user:
* Of course, such personalization can be extended to Google Video Advertisements.
Top 10 Face Recognition Project Ideas For Students On A Weekend
The top face recognition project ideas for students to keep them busy during the weekend
Applications utilizing machine learning have been developed that are extremely powerful in the field of computer vision. These face recognition project ideas will introduce you to these methods and direct you toward more experienced applications so that you may better understand the sophistication presently available. Face recognition projects are helpful.
Most novices love developing applications based on computer vision that recognize faces because it is entertaining. Consider the possibility of best face recognition project ideas that recognizes you by name after viewing your photo. With so many computer vision libraries available, developing such an application is not as challenging as you may imagine. Face recognition projects for students have helped them create fun applications. Face recognition technology has taken the world by storm. In this article, we discuss some of the top face recognition project ideas that can help you get all hooked during weekends and let you explore the best.
Here are the top 10 face recognition project ideas for students: 1.Face Recognition with Python and OpenCV 2.Mask DetectionIt has become essential to wear a mask to prevent the COVID-19 virus from spreading. We still have a few persons that don’t follow the protocols, even though the majority of employees fully grasp its purpose. Therefore, an urgent necessity for developing a system that can automatically identify those who are not wearing masks.
We have all tried a filter that takes a photograph automatically when we grin while experimenting with image editing software. Face expression recognition is the straightforward principle behind this filter. A deep learning model that has been trained to recognize smiling faces from non-smiling faces is used by the filter. Creating such a filter is not at all challenging. You must first create a classifier for smiling and unsmiling faces before applying it to each frame of a live video.
4.Human Expression RecognitionIf you choose to take on a somewhat more difficult assignment, think about developing an emotion detection model. Six primary face emotions—happiness, sadness, anger, fear, disgust, and surprise—can serve as the foundation for your model.
5.Blur the FaceTo conceal a person’s identity, all news channels blur the faces of people in videos. The person’s face may be automatically identified, and you can utilize that information to obscure the image. The project will be helpful to make the faces of the persons in the video blurry.
6.Family Photo Face DetectionGrab your family photo album to gather authentic data and create a facial recognition model that can recognize your family members in the pictures. Face detection, alignment, feature extraction, and feature recognition are the several stages of this work. Consider integrating video data as well to enrich your project’s narrative and improve the model’s precision.
7.Automated Attendance System 8.Security SectorWhen it comes to deploying face recognition, the security industry has years of experience. Since the introduction of the digital biometric passport in 2006, face verification has been utilized at several international borders. Face recognition technology is often used by police departments. Facial verification technology is used in many high-security locations, including government buildings and nuclear power plants, to confirm the identity of staff.
9.Retail and MarketingAlthough face recognition in retail and marketing is still in its infancy, some fascinating trials have been conducted by major corporations. Facial recognition technology can be used installing cameras in stores. By accessing client information from their social media profiles and providing them with personalized offers and products, it can assess and enhance the customer purchasing experience.
10.Banking SectorFacial recognition technology is being used by the banking sector to stop fraud and make internet banking safer. In more than 24 countries, HSBC introduced a Face ID verification option for their corporate clients. Even quicker than Touch ID is the Face ID login.
The 2013 Mac Pro Is Here
The 2013 Mac Pro is here – and it’s beautiful
We’ll be reviewing the Mac Pro in due course, but for now we’ll go over the core appeal. Where the previous Mac Pro had been given a processor bump in mid-2012, outwardly it stuck with a case design dating back to 2006. That tower, complete with perforated metal end-plates and easily accessible bay enclosures inside, was itself an iteration on the Power Mac G5 design.
As Apple shifted to limited upgrade potential across both its desktop and mobile ranges, prioritizing compact design in preference to user-accessible parts, the Mac Pro came to resemble a lingering hold-out. That the high-end iMac models were rivaling it for performance hardly did the pro-desktop any favors either, and demands for a meaningful upgrade by some of Apple’s biggest spenders were increasingly vocal.
Meaningfully upgrade it the company did. The new Mac Pro broke cover at WWDC 2013, a jaw-dropping departure from the model before it: where the old Pro was tall and squared-off, the new Pro is a short, smooth cylinder just 9.9 inches tall and 6.6 inches in diameter. At 11 pounds you can pick it up and carry it with a single hand, though it’s a dense machine not a portable.
Gone were the optical drive bays, the four internal HDD bays, and the four PCIe card slots. Instead, the new Mac Pro clusters its three key components – a main board with the processor, flanked by four memory slots, and then two graphics cards, one of which is also fronted by the PCIe flash storage- around a central cooling core with a single fan, and then turns to external peripherals for any significant expansion.
Where the old Mac Pro lacked Thunderbolt and USB 3.0, the cylindrical Mac Pro doesn’t stint on sockets. Six Thunderbolt 2 – for up to 36 devices, including up to three simultaneous 4K displays – and four USB 3.0 ports, plus HDMI 1.4 and dual gigabit ethernet make it the most expansible Mac on the market, despite its size. Thunderbolt 2’s 20 Gb/s bandwidth makes it 25x faster than FireWire 800, the old Mac Pro’s fastest port, meaning for the moment the limiting factor on expanding the computer will be the size of your bank balance and the number of actual devices on the market.
That will change in time, and for the moment there’s plenty in the Mac Pro to satisfy out of the box. Some of the touches are just plain visually and aurally pleasing, like the port labeling which illuminates when you turn the unit around to access them, and the fact that even when driving a number of 4K displays we couldn’t hear the fan unless we put our ear to it.
While you’re hovering over the top, you notice just how little heat the Mac Pro puts out, too. There’s just one fan, which pulls air across the triangular cross-section “thermal core” to which the components are clamped. It’s early days, but already it seems impressively efficient: we watched as Final Cut Pro X tended sixteen 4K streams in realtime, and temperatures still stayed comfortably low.
Unfortunately, while the fan is attached to the top of the core, not the removable shell, you can’t run the Mac Pro with the cover off. That’s a safety feature, as well as because the aluminum outer also helps with cooling.
While the new Mac Pro may first earn envious glances, it’s the power not the aesthetics that need to be its legacy. That in mind, we’ll be putting it through its paces in time for the full SlashGear review, but weigh in with what you’d like to see included on this potent desktop.
Securityhealthsystray.exe Bad Image; What Is It?
Bad Image errors in Windows occur if a program or application faces difficulty while launching or running. The most common reasons for Bad Image errors are outdated or corrupted system files, malware or viruses, and hardware issues. Recently, some users have been complaining about SecurityHealthSystray.exe Bad Image error on their Windows device with the following error message:
\?C:WindowsSystem32SecurityHealth1.0.2207.20002-0SecurityHealthSSO.dll is either not designed to run on Windows or it contains an error. Try installing the program again using the original installation media or contact your system administrator or the software vendor for support. Error status 0xc000012f.
What is SecurityHealthSystray.exe?SecurityHealthSystray.exe is a Windows process related to the Windows Defender Security Center. It’s responsible for providing your PC with real-time protection against viruses and malware. This process usually runs in the background to scan your device for threats and offers notifications and alerts when required.
Fix chúng tôi Bad ImageTo fix the chúng tôi Bad Image error on your Windows device, consider running an SFC scan and installing the latest version of Visual C++ Redistributable. If that doesn’t help, follow these suggestions:
Run SFC and DISM
Install the latest Visual C++ Redistributable
Re-register the DLL file
Download Windows OS files from Microsoft
Uninstall recently installed Windows Update
Reset Windows Security App
Now lets see these in detail.
1] Run SFC and DISMBad image errors may occur due to corrupted/damaged Windows system files or system image corruptions. Run SFC and DISM to scan and repair these. Here’s how:
Type the following commands one by one and hit Enter: For SFC: sfc/scannow For DISM: DISM /Online /Cleanup-Image /CheckHealth DISM /Online /Cleanup-Image /ScanHealth DISM /Online /Cleanup-Image /RestoreHealth
Restart your device once done and check if the error is fixed.
2] Install the latest Visual C++ RedistributableC++ Redistributable is a set of runtime library files that allows the usage of pre-developed code and allows installation for multiple apps. If its packages get deleted or corrupted, it can stop several programs from functioning correctly. In that case, you will need to install the required version again. Here’s how you can update Visual C++ Redistributable.
3] Re-register the DLL fileYou can also try re-registering the DLL file,to fix chúng tôi Bad Image error. Here’s how:
Type the following command and hit Enter: regsvr32 SecurityHealthSSO.dll
Now, restart your PC and check.
4] Download Windows OS files from MicrosoftA Windows OS dll file can be downloaded from Microsoft. This is a safe option. After downloading it, you must place it in the proper folder and re-register the concerned DLL file. In this case, that’s SecurityHealthSSO.dll.
5] Uninstall recently installed Windows UpdateA broken or corrupted file installed with the system update sometimes makes applications crash. Uninstalling a Windows Update can help fix bad image errors if it started occuring after installing the update. To Uninstall Windows Updates in Windows 11, do the following:
From the Start or WinX Menu, open Windows 11 Settings
Now scroll down till you see Uninstall updates under Related settings
The Installed Updates Control Panel applet will open
6] Reset Windows Security AppIf none of these suggestions were able to help, reset Windows Security app. Follow these steps to do so:
Type the following and hit Enter:
Exit PowerShell once the command executes.
I hope this post helps you.
Read: MSTeams.exe Bad Image Error Status 0xc0000020 in Windows 11/10
Why do I keep getting Bad Image error? How do I fix a Bad Image error?Scan your device for outdated or corrupted Windows system files to fix a bad image error. You can also try re-registering the file and installing the latest version of C++ redistributable. However, if that doesn’t help, uninstall the recently installed Windows Update.
What is 0xc000012f Bad Image ?The error code 0xc000012f bad image occurs if programs executable or supporting modules are corrupt. However, it can also occur if the C++ redistributable files are outdated or corrupted.
What Is .Net Developer And Why Is This Role Important?
blog / Coding What Does it Take to Become a .NET Developer? A Comprehensive Guide
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Today, if you’re a software professional, understanding what is .Net developer it is important so that you can consider it as a career option. After all, .Net has become crucial to software development. How did it happen? Here’s how: The year is 2002. Microsoft has officially introduced the first version of the .Net framework, a remarkable moment in the history of software development. Since then, .Net has witnessed multiple upgrades and has been recognized as a robust platform for developing high-performance software for websites and applications.
According to the Stack Overflow Developer Survey, .Net was ranked as the most popular framework among developers in both 2023 and 2023. Now, let’s take a detailed look at what it’s like working as a .Net developer in today’s application-driven environment.
What is .Net Developer?A .Net developer is a software professional or an Information Technology (IT) expert who designs user-friendly and highly scalable web applications. They collaborate with web developers and computer scientists to develop refined software solutions aligned with a client or company’s business needs. These skilled programmers are proficient in Microsoft’s .Net framework and work with programming languages to develop end-to-end software products.
Responsibilities and Tasks of a .Net DeveloperA .Net developer is primarily responsible for designing, developing, and implementing intelligent software applications. In fact, they focus on various aspects of web development, mobile application development, Machine Learning (ML), Artificial Intelligence (AI), and cloud applications.
Here is a rundown of their day-to-day tasks:
Programming .Net applications and platforms
Identifying system requirements and designing functional software solutions
Modifying and re-writing code to improve efficacy
Integrating data storage systems to maintain code quality
Offering technical support for desktop, mobile, and web applications
The responsibilities of a .Net developer are likely to vary based on the industry, experience, job role, and location of the business.
ALSO READ: What Coding Language Should I Learn to Succeed in Life?
What is the Required Skill Set for .Net?A good .Net developer should possess a combination of relevant hard and soft skills to effectively carry out code processing and system design. These include:
Hands-on experience in the chúng tôi web application framework
Well-versed with front-end technologies like JavaScript, Angular, and HTML
Knowledge of web application lifecycle and development approaches
Cloud engineering expertise
Advanced database technology skills
Sound knowledge of automated testing platforms
The soft skills that .Net developers should have include analytical thinking, good communication, adaptability, teamwork, problem-solving, organizational mindset, and time management skills.
Essential Tech Skills for .Net DevelopersThe .Net infrastructure features various tools, libraries, and frameworks that help broaden the scope of this beneficial software development platform. Further, it is important to learn about the key technical skills required to leverage the versatility of the .Net ecosystem.
Expert in .Net FrameworkA .Net developer must have a strong working knowledge of basic .Net languages like C#, F#, and chúng tôi to create fast and secure services, websites, and desktop applications on Windows. Moreover, they should also know how to access and operate class libraries like chúng tôi to develop scalable and secure applications with efficient controls.
Expert in Front-End FrameworkAs a .Net developer, you may have to develop applications for mobile, web, desktop, or even devices. Also, this is where front-end development technologies come into the picture and define how an application interacts with the user. Having a working knowledge of front-end frameworks such as HTML, JavaScript, and CSS will help you be more aligned with user demands and create immersive applications.
Working with DatabasesIt is beneficial for .Net developers to gain hands-on experience with database systems, given how important it is to store and manage effectively today. Moreover, even though .Net is compatible with most databases, proficiency in at least one database system like SQL Server or Oracle is crucial for handling data.
By now, you will have developed a clear idea of what is .Net developer, their day-to-day responsibilities, and the skills needed to become a competent .Net developer. If you’re keen on building a career as a .Net Developer, it will help to know some common interview questions that most employers ask.
ALSO READ: The Top 10 Highest-Paying Programming Languages to Learn
.Net Developer Interview QuestionsThe best way to start preparing for an interview for a .Net developer position is to get your basics right. Go over foundational concepts and learn about the key components of the .Net framework. To make your preparation easier, we have put together the 10 most commonly asked .Net interview questions.
How does the .Net framework function?
What are CTS and CLS in the .Net language?
Explain the difference between reference type and value type
What are the key differences between managed and unmanaged code in .Net?
Is chúng tôi any different from ASP? If yes, how so?
How does .Net differ from other development frameworks?
What do we mean by role-based security in .Net?
What is caching? What are its different types?
Define cross-page posting. How does it work?
What is the difference between an interface and an abstract class?
ALSO READ: Top 13 Full-Stack Developer Interview Questions and Answers to Prepare in 2023
To better understand what is .Net developer, let’s see how it differs from the role of a Java developer.
.Net Developer VS Java DeveloperWhile both Java and .Net work on software applications, a Java developer works on multiple operating systems through its compilers, whereas .Net developers mainly work on the Windows operating system and its different versions.
The most common programming languages that Java developers use are Scala, Groovy, JavaScript, and Clojure. .Net developers generally work with C#, F#, chúng tôi and C++. For software development projects, Java developers are usually chosen for large-scale ones, whereas .Net developers are preferred for quick deliveries and application development.
Now that we know what a .Net developer’s role is compared to that of a Java developer, here’s a quick look at the career prospects of .Net development as a profession.
Is .Net Developer a Good Career?.Net is widely used across the world for its versatility and simplicity. Thus, despite being around for over 20 years, it still tops the list of the most-preferred frameworks to work with for most developers. moreover, the demand for skilled .Net developers is continuing to grow at a significant rate. In fact, according to the US Bureau of Labor and Statistics, the rate of employment for software developers is projected to grow by 25% from 2023 to 2030.
Given that .Net is a one-stop solution for developing web, desktop, mobile, gaming, websites, and ML applications, and can be integrated across multiple data management and operating systems. Thus, it makes it a great prospect for both beginners and experienced professionals in the field. Since .Net is being widely used for enterprise-level development, employment with large technology or technology-driven companies is a viable option for professionals.
What’s interesting is that while working with .Net frameworks, developers barely need to look at other stacks to get exposure to different platforms. The speed of development, tooling systems, support for multiple modern programming paradigms, and transformative impact on software development prove that .Net is here to stay. Now, check out the online coding courses at Emeritus and kickstart your career as a .Net developer.
By Neha Menon
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