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Top 5 Open Source AI Solutions for Image Processing

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A few decades or even years ago, self-driving cars and computers with a human-like vision were just a figment of the fantasy writer’s imagination. But today, Artificial intelligence (AI) technologies allow cars to drive safely across busy streets and computers to interpret pictures almost like humans do.

Developers have made impressive progress on how to implement AI on image processing tasks. Furthermore, image processing solutions with AI are widely used in various fields, from medicine to law enforcement to cybersecurity and retail.

AI and machine learning make it possible for the machines to inherit new functionalities through the process of learning. Similarly to small kids, machines can gain the ability to acquire and understand visual information by processing massive amounts of images. To process so much data faster without compromising the final result, developers use image processing models based on machine learning and deep learning algorithms.

In particular, image processing and computer vision solutions use deep learning for accomplishing such complex tasks as:

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  • Image classification
  • Object recognition
  • Object tracking
  • Image generation
  • Image retrieval

To implement some computer vision functionalities into your product, you’ll need a large set of tools and resources: image datasets, libraries with code samples, frameworks for creating and training deep learning models. Fortunately, there are a lot of open-course services that you can use to make machine learning less of a mystery and ease the development of your own AI-based image processing solution.

Below, we take a closer look at the five best open source image processing solutions that you can apply to your projects:

  • OpenCV
  • TensorFlow
  • Keras
  • Caffe
  • Google Colab

Let’s get started!

OpenCV

Open Source Computer Vision Library (OpenCV) is one of the most popular open source services for image processing. It’s a free computer vision library that you can use to perform various image processing tasks:

  • Image acquisition
  • Image compression and decompression
  • Image enhancement and restoration
  • Image denoising
  • Image segmentation
  • Data extraction, and more

The library includes numerous algorithms and functions as well as special modules aimed at image processing tasks. Starting from the library version 3.1, there’s also a deep learning module for building and training deep learning models.

With this module, you can use OpenCV to extract features from processed images, and then apply a machine learning model using one of the supported machine learning frameworks.

As of today, OpenCV supports a number of popular frameworks, including TensorFlow, PyTorch, and Caffe. The list of supported types of neural networks includes convolutional, deconvolutional, and recurrent neural networks.

The library is written in C++ and supports C++, Java, Python, and MATLAB interfaces.

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TensorFlow

TensorFlow is an open-source machine learning framework created by Google. Initially, the project was started for research purposes of the Google Brain team. Today, however, TensorFlow is widely used by both small startups and large companies such as Dropbox, Intel, and Twitter.

You can use TensorFlow to process different types of data, but in relation to image processing, this framework works best for:

  • Image classification
  • Image recognition
  • Image segmentation
  • Image to image translation (pix2pix)

TensorFlow includes a set of libraries for creating and training custom deep learning models and neural networks. The framework supports Jupyter notebooks and provides a style guide with recommendations on writing readable, consistent code.

TensorFlow supports several popular programming languages, including C++, Python, Java, Rust, and Go. However, you can install third-party bindings for other languages, such as Ruby, Scala, or PHP.

Keras

Keras is an open-source Python library for creating deep learning models. It’s a great solution for those who only begin to use machine learning algorithms in their projects as it simplifies the creation of a deep learning model from scratch. Keras is easy to manage and it is suitable for fast and simple prototyping of different types of neural networks.

The library was built on TensorFlow and is currently fully integrated into the framework. This means that you can write your deep learning model in Keras, as it has a much more user-friendly interface, and then easily implement a specific functionality or feature from TensorFlow in this model.

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Keras can also be deployed on top of other popular AI frameworks such as Microsoft Cognitive Toolkit and Theano.

Caffe

Convolutional Architecture for Fast Feature Embedding (Caffe) is an open-source framework that can also be used for creating and training popular types of deep learning architectures. You can use Caffe to accomplish such tasks as image classification, segmentation, and recognition.

Caffe is written in C++ but it also has a Python interface. The framework supports both CPU- and GPU-based accelerated libraries such as NVIDIA cuDNN and Intel MKL. The framework also has a special database, Caffe Model Zoo, containing a set of pre-trained deep learning models. As of today, it offers four BAIR-trained models:

  • BAIR Reference CaffeNet
  • BAIR Reference R-CNN ILSVRC-2013
  • BAIR AlexNet
  • BAIR GoogLeNet

Model Zoo also includes a number of community models trained by other Caffe users. As for the types of supported neural networks, Caffe works best with convolutional neural networks (CNN) and feedforward networks. At the same time, it’s not the best choice for training recurrent neural networks.

In 2017, Facebook launched Caffe2, an open-source framework for training and deploying deep learning models. And in 2018, Caffe2 was integrated with another popular AI framework, PyTorch.

Caffe2 comes with C++ and Python APIs and supports all popular platforms.

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Google Colaboratory (Colab)

Google Colaboratory, or simply Colab, is one of the top image processing services. While it’s rather a cloud service than a framework, you can still use Colab for building custom deep learning applications from scratch. With the help of Colab, you can perform such image processing tasks as image classification, segmentation, and object detection.

Google Colab eases the use of other popular AI-based tools such as OpenCV, TensorFlow, and Keras. The service uses Jupyter Notebooks, helping developers to share their knowledge, tips, and best practices on building AI-based applications. Plus, in contrast to other similar services, Colab offers free usage of both CPU- and GPU-based acceleration.

Conclusion

Machine learning models and algorithms help developers implement specific image processing functionalities into their products both quickly and easily. However, building a custom machine learning model or neural network requires lots of resources and a high level of technology expertise. With the help of the listed open-source tools, libraries, and frameworks, you can simplify the process of leveraging Artificial Intelligence technologies to your benefit.

 

This article is a contribution from Marcell Gogan.  Marcell is a specialist within digital security solutions, business design and development, virtualization and cloud computing, R&D projects, establishment and management of software research direction – working with Ekran System. He also loves writing about data management and cybersecurity. 

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Source: European Gaming Media
This is a Syndicated News piece. Photo credits or photo sources can be found on the source article: Top 5 Open Source AI Solutions for Image Processing

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Innovations Redefining iGaming: What Operators Need to Know

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The iGaming industry is advancing at breakneck speed, driven by technological innovation and evolving player expectations. Itai Zak, Executive Director of iGaming at Digicode, emphasizes the importance of bridging client aspirations with customized business solutions. Key trends shaping the future of iGaming include live dealer games, blockchain integration, artificial intelligence (AI) and machine learning (ML), enhanced personalization, and shifting regulatory environments. Let’s delve into how these trends influence the industry, presenting new opportunities while paving the way for future growth.

A Closer Look at Emerging Trends

  • Live Dealer Games

Live dealer games are revolutionizing the online gaming experience, blending the best aspects of land-based casinos with the convenience of virtual gaming. Players can now engage with real-life dealers via high-definition video streams, enhancing the social component of online gambling. This bridge between physical and virtual casinos introduces interactive features like live chat and immersive gameplay. Industry leaders like Evolution Gaming and NetEnt are setting new standards in player engagement with innovative game formats and top-tier studio setups, redefining the realism and appeal of live gaming.

  • Blockchain and Cryptocurrency Integration

Blockchain technology is transforming iGaming by offering unparalleled transparency and security. With blockchain’s ability to enable provably fair gaming, players can verify that each round is fair via an immutable ledger. Cryptocurrencies like Bitcoin and Ethereum facilitate faster, more secure transactions, catering to tech-savvy players who value privacy. Platforms like Bitcasino.io are leading the way, leveraging blockchain to ensure fairness and seamless payments. However, the rise of blockchain also attracts regulatory attention, requiring operators to balance innovation with compliance as governments navigate this new technology.

  • Artificial Intelligence and Machine Learning

AI and ML are instrumental in enhancing player experience and operational efficiency. AI algorithms analyze player behavior in real-time, offering personalized game recommendations and promotions. Additionally, AI-powered chatbots provide instant customer support, improving user satisfaction. AI-driven predictive analytics also help operators fine-tune marketing strategies based on player preferences. Companies like Bet365 are already using these technologies to stay ahead of the competition, offering more personalized and efficient gaming experiences.

  • Richer Personalization and Engagement

Personalization has become crucial for iGaming operators looking to boost player satisfaction and retention. By leveraging data analytics, companies can offer tailored game recommendations, dynamic bonuses, and individualized promotional offers. This level of engagement enhances the player experience and strengthens loyalty. Industry pioneers like DraftKings and FanDuel push the envelope by offering highly customized features, such as personalized fantasy sports leagues and bespoke betting options.

  • Regulatory Changes and Market Expansion

The constantly evolving regulatory landscape offers both challenges and opportunities for iGaming operators. As more regions legalize various forms of online gambling, companies gain access to new markets. With their large populations and increasing internet penetration, emerging markets like Brazil and Nigeria represent lucrative opportunities. However, navigating the diverse regulations in these markets requires agility and strict compliance with local laws to succeed.

  • Enhanced Payment Solutions

With digital transactions becoming the norm, the demand for fast, secure, and flexible payment methods is skyrocketing. From digital wallets to instant banking and cryptocurrencies, players expect payment solutions that offer convenience and security. This growing demand is driving innovation in payment processing, giving operators more opportunities to streamline the transaction process while building trust with users.

Future Implications

The Expanding Role of AI and Blockchain

AI and blockchain are not just current trends, but they are poised to play an even more significant role in iGaming’s future. As AI technology evolves, more sophisticated algorithms will emerge, enabling real-time adaptation to player behavior and preferences. Blockchain’s application may extend beyond transparency and security, transforming game mechanics and player interactions potentially redefining how games are designed and played.

Shifting Player Preferences

Player expectations will continue to evolve toward immersive, interactive experiences. As Virtual Reality (VR) and Augmented Reality (AR) become more mainstream, they will significantly influence the future of iGaming. Players will demand more engaging, lifelike environments, pushing the industry to create innovative game formats and features that offer deeper immersion and entertainment value.

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Regulatory Developments

The regulatory environment will continue to evolve, and iGaming operators must stay agile to navigate future changes. New regulations may increasingly emphasize responsible gaming and player protection, influencing platform design and operational practices. A more harmonized regulatory framework across jurisdictions could provide stability while requiring operators to prioritize compliance.

Integrating Emerging Technologies

Technologies like 5G and edge computing are set to revolutionize iGaming by enabling faster, more reliable connectivity. This will allow for more complex game designs and real-time player interactions, opening new avenues for innovative gaming experiences. As these technologies mature, operators will have greater opportunities to differentiate their offerings. The potential of these emerging technologies to revolutionize iGaming is truly exciting and promising for the industry’s future.

Final Thoughts

The iGaming industry is on the cusp of significant transformations, driven by technological advancements and shifting player demands. Innovations like live dealer games, blockchain integration, AI, ML, and enhanced personalization are just the beginning. As the industry evolves, staying ahead of these trends will be critical for operators looking to thrive in an increasingly dynamic environment.

At Digicode, we are constantly exploring new technologies and refining our solutions to meet the evolving needs of our clients. Our focus on adaptability and foresight ensures that our clients are not just keeping pace with the industry—they’re leading it.

The post Innovations Redefining iGaming: What Operators Need to Know appeared first on European Gaming Industry News.

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What makes Turbo Games’ provably fair games so special?

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A partnership between game developer Turbo Games and iGaming solution provider and aggregator Slotegrator began in November 2022 via the APIgrator game integration solution. Since then, the collaboration has been developing successfully — and now it’s time to analyze what made it successful.

Turbo Games has noticed how the new technologies spreading throughout the industry can work for the good of brand transparency and player loyalty: “We can already see how blockchain technology has made it possible to make betting checks more accessible to players. All you need is a blockchain-hash and a decoder service. We think we will continue to move in this direction. Many traditional online casinos do not offer the possibility to check the bet. Sooner or later we all have to come to this. Perhaps the development of artificial intelligence will help here, because we are already seeing its involvement in all spheres of human life.”

Turbo Games specializes in provably fair games. Provable fairness is a concept where players can verify their wins or losses using blockchain technology — the outcome of the game is dictated by a smart contract and is absolutely random, barring the possibility of any human involvement. Using cryptographic hashing algorithms, the gambling site and the player’s device both generate seeds (random strings of numbers). Players receive a key that allows them to check the results; if the results are the same as the game round they witnessed, it proves that there was no foul play.

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According to statistics from Turbo Games, the audience for provably fair games is mostly between 18 and 25 years old. However, there are also players aged 35-40 who prefer traditional games but would like to try something new, and have turned their attention to provably fair games.

There are good odds that the technology of provably fair games will become more popular, if not even commonplace, because it gives players a feeling of transparency and proves that the business is trustworthy without the need to search through dozens of reviews. Whereas many innovations in iGaming simply add entertainment, provable fairness addresses security concerns and reassures players that they’re not being exploited, which is invaluable.

Provably fair games are beneficial for both players and online casinos. Vadim Potapenko, Head of Sales at Turbo Games, comments: “It often happens that the users are not satisfied with the result, because gambling is not only about big wins, but also possible losses. By allowing them to check the fairness of a bet, we make life easier for platforms and players. Of course, this allows us to communicate with partners and users that we work honestly and that’s why they should trust our games.”

Ayvar Gabidullin, Business Development Manager at Slotegrator, adds that “this type of game is now becoming more and more popular and has great potential for both players and game providers in the future. On the part of the player, the advantage is that the player can always be sure that his game is fair and he can independently check any of his bets. And for the game provider, this also simplifies the process of implementing casino games, since now it will not be necessary to obtain the appropriate certificates from independent laboratories before launching new games, they can immediately enter the market with these games and where anyone can check the result and make sure that that there is no cheating with players. Many game providers are starting to look towards this type of game. And as far as I see, many operators are starting to think about adding these games.”

What do players in 2023 need? The iGaming industry is all about reputation and trust. Players have a huge number of platforms to choose from, making them pickier and pickier. There’s an abundance of forums where players leave reviews, so if players view a brand as untrustworthy, there are plenty of places they can share their opinion. Provable fairness not only stops that from happening, it provides evidence to the contrary, giving players something else to talk about.

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Slotegrator also recommends investing time and effort into localization and creating an effective and detailed marketing strategy — before trying provably fair technology players need to get to the platform, and there is no acquisition without marketing.

 

 ABOUT SLOTEGRATOR

Since 2012, Slotegrator has been one of the iGaming industry’s leading software and business solution providers for online casino and sportsbook operators.

The company’s main focus is software development and support for online casino platforms, as well as the integration of game content and payment systems.

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The company works with licensed game developers and offers a vast portfolio of casino content: slots, live casino games, poker, virtual sports, table games, lotteries, casual games, and data feeds for betting.

Slotegrator also provides consulting services in gambling license acquisition and business incorporation.

More information: https://slotegrator.pro/

 

ABOUT TURBO GAMES

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Turbo Games — a provably fair games provider that belongs to Turbo Stars company — has an ambitious goal to establish widespread recognition throughout the iGaming world. Even though it is young, the company consists of professionals who have been working on the brand for over five years and are even planning to introduce a new brand for a wider audience soon.

Turbo Games also works in Europe, India, and South Africa, where the company sees the most potential and expects the same “hype” as in Brazil.

The portfolio of Turbo Games consists of 21 titles, including well-known games like Mines, Crash X, DoubleRoll, Hi-Lo, and Plinko. The studio releases a game every month. However, not all games are developed from scratch. Wicket Blast and Spin Strike, the last two releases, are based on cricket and the Indian Premier League. Crash X remains the most popular fast game in the Turbo Games portfolio, and the studio reports that crash games enjoy stable levels of popularity. Overall, the main focus of the brand is provably fair games.

More information: https://turbogames.io/

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Games Factory Talents has teamed up with Nordic Game to bring you Nordic Game Talents.

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Looking to take your career to the next level in the games industry? Then, Nordic Game Talents is the place to be! Games Factory Talents has teamed up with Nordic Game to bring you Nordic Game Talents.

From Oct 27-29, the online and interactive event is dedicated to recruitment and career building in the creative & games industry within the Nordic region. The event empowers participants to be part of a bigger community and motivates them to explore new paths in achieving their career goals.

Hiring creative & games studios – Supercell, Funcom, Panzerdog, Tactile Games, Gamecan, Fingersoft, Dazzle Rocks, Redhill Games to name a few from the Nordic region will be participating in the event. These studios will share information on their latest projects, work culture and what it takes to be part of their team. The individual games associations from Finland, Denmark, Sweden, Norway and Estonia will share insights through live sessions on the booming games industry in their respective countries. Career development topics pertinent to job seekers like – How to have a successful first interview, Creative Portfolio reviews will also be discussed.

Experienced game industry professionals and individuals beginning their careers from around the world are welcome to join the event. One-to-one interviews with the hiring studios can be scheduled through the event platform. A great opportunity to get to know the studios and network with game professionals from around the world.

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Participating in the event

As a job seeker attending Nordic Game Talents, take a few minutes to fill out a simple registration form. After filling the registration form you will receive a link to the online event platform – PINE, to join the event on 27th October. Participants joining Nordic Game Talents will also receive a free-of-charge pass to the Nordic Game Conference.

To view the complete agenda, please click here and to learn more about the event please visit Games Job Fair

About Games Factory Talents

A Helsinki-based talent attraction agency dedicated to the games & creative industry. Our services include direct recruitment, organizing game job fairs and managing a community of game industry professionals through our GameDev Talent Board.

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To learn more about Games Factory Talents visit – Games Factory Talents

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