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Top 5 Open Source AI Solutions for Image Processing

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Top 5 Open Source AI Solutions for Image ProcessingReading Time: 4 minutes

 

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:

  • 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.

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.

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.

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. 


Source: Latest News on European Gaming Media Network
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

George Miller (Gyorgy Molnar) started his career in content marketing and has started working as an Editor/Content Manager for our company in 2016. George has acquired many experiences when it comes to interviews and newsworthy content becoming Head of Content in 2017. He is responsible for the news being shared on multiple websites that are part of the European Gaming Media Network.

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Groove Technologies and BetOnGames Forge Strategic Partnership

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In a landmark move, platform and aggregator Groove Technologies has announced a strategic partnership with BetOnGames, the RNG game provider arm of BETCORE. This collaboration brings together Groove’s enterprise-grade platform, boasting over 15,000 games from 150+ top-tier providers, and BetOnGames’ lightweight, high-performing content, optimised for real-world conditions.

The alliance promises to deliver unparalleled scalability, engagement, and profitability for operators worldwide.

Groove’s cutting-edge platform is renowned for its precision, scalability, and advanced player engagement tools, making it a powerhouse for operators who demand excellence. By integrating BetOnGames’ portfolio featuring 100+ fast-loading, low-data titles across slots, crash, and instant-win formats, Groove further solidifies its position as the go-to solution for diverse markets, including regions with limited internet coverage.

Rachel Tourgeman, Head of Partnerships at Groove, emphasised the strategic value of the partnership: “BetOnGames’ adaptability and high-converting content perfectly complement Groove’s mission to deliver unmatched performance for operators. Their lightweight design, multilingual UI, and seamless payment integrations, including UPI, QR-wallets, and crypto, make them an ideal partner for both emerging and mature markets. Together, we’re setting a new standard for player engagement and operational efficiency.”

BetOnGames has built a reputation for reliability, offering RNG-certified titles with competitive RTPs (96–97%) and 24/7 technical support. Popular titles like Aerobet (crash-style, 97% RTP), 100 Mega Hot (classic slot, 97.12% RTP), and Bicho da Sorte 25 (lottery-style, 92.26% RTP) cater to a broad spectrum of player preferences, ensuring high retention and conversion rates.

Peter Korpusenko, CEO of BETCORE, highlighted the significance of the collaboration: “Partnering with Groove allows us to expand our reach exponentially while maintaining the speed, fairness, and lightweight efficiency that define BetOnGames. Groove’s robust backend and analytics tools empower operators to maximise our content’s potential, driving growth in even the most competitive markets.”

With full licensing under the Curaçao Gaming Control Board, integrated responsible gaming tools, and AML compliance, BetOnGames provides a secure and scalable foundation for operators. Combined with Groove’s industry-leading platform, the partnership ensures seamless onboarding via Groove’s single-API, optimised cash flow, and data-driven decision-making.

As iGaming continues to evolve, Groove and BetOnGames are poised to lead the charge, delivering a dynamic, player-centric experience that transcends borders and technical barriers. For operators seeking a competitive edge, this collaboration represents the future of iGaming today.

Yahale Meltzer, Co-Founder and COO at Groove, underscored the long-term vision: “This partnership isn’t just about adding games, it’s about enhancing ecosystems. BetOnGames’ performance in low-bandwidth environments and localised payment options align perfectly with our commitment to inclusivity and innovation. Together, we’re not just meeting operator needs; we’re anticipating them.”

The post Groove Technologies and BetOnGames Forge Strategic Partnership appeared first on European Gaming Industry News.

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Week 37/2025 slot games releases

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Here are this weeks latest slots releases compiled by European Gaming

Leroy wakes up every day with a smile on his face! Why you may ask? Well executing is a dirty job but Leroy just loves to swing his axe in Nolimit City’s latest release, Dead Men Walking. The chopping block features a 3-3-3-3-3reel setup with three Fire Pits above the reels each linked to a unique base game feature.

Amusnet has released 100 Art of Gold. This new online casino release brings together the elegance of art and the dynamic feel of modern slot design. Built on a 5-reel layout with 100 fixed paylines, the game stands out with its refined aesthetic and carefully crafted details.

 

Play’n GO heads skyward with Rosy Orbit Treasure Turn™, a radiant slot where gravity is optional and innovation is key. A mysterious princess, a faithful fox, and a cherished rose – Play’n GO blends character-driven charm and fresh mechanics in Rosy Orbit Treasure Turn™.

Burning Classics 2 is here to ignite your winnings with all the fiery thrills of the original, plus even hotter rewards. The sequel to Booming Games’ most popular game, Burning Classics, keeps the classic 5×3 grid and 20 variable paylines, along with the iconic stacked symbols, including stacked wilds.

Blueprint Gaming™ takes one of its strongest internationally performing series to new heights in Cash Strike Hotstepper 2, with Super Strike and mystery symbols among the new additions designed to elevate the gameplay experience on offer.

BGaming is excited to announce the launch of Bonanza Trillion, the highly anticipated sequel to the hit slot, Bonanza Billion. The game builds on the success of its predecessor while also upping the ante with a range of captivating features, enhanced visuals, and higher volatility. Bonanza Trillion upgrades the classic fruit and crystal theme that players loved from the original title.

Step into the heart of the untamed frontier in Bison Moon – Power Combo, a slot from Northern Lights Gaming that captures the rugged beauty and boundless thrill of the Great Plains with plenty of big wins in store. This action-packed slot introduces the provider’s latest mechanic, Power Combo, where three unique Scatters unlock incredible bonus features via its proprietary Link&Win feature.

The vast plains are alive with the sound of rampant hooves, the roar of predators, and helpful animals along the way. ELA Games proudly presents its latest release, Buffalo Force, an energetic game that celebrates the sheer power of nature.

 

Spinomenal is welcoming players to ascend to Valhalla with its latest mythology-inspired slot, Majestic Odin. The game joins Spinomenal’s hugely popular Demi Gods series. Majestic Odin is set against a breathtaking Nordic landscape of towering mountains, deep fjords, and glowing torches that frame the game with mythic grandeur.

 

The post Week 37/2025 slot games releases appeared first on European Gaming Industry News.

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GR8 Tech’s Bet It Drives Wraps Season 1 with Stephen Crystal—From Las Vegas Legends to Global Gaming Leadership

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GR8 Tech’s drive-time podcast Bet It Drives closes out its debut season in the fast lane with Stephen Crystal, Founder of SCCG Management and a 30+ year veteran of the gaming world. From reshaping tribal and riverboat gaming to owning iconic Las Vegas casinos and driving more than $3 billion in finance, M&A, and technology projects, Stephen has spent his career at the center of the industry’s biggest moves.

In the passenger seat with host Yevhen Krazhan, GR8 Tech’s CSO, Stephen takes listeners from the glitter of Vegas to the global stage—where he has advised 120+ client-partners across 100 countries, built US operations for the UK’s largest bookmaker, and cut high-profile sports betting deals with teams like the Cincinnati Bengals and Vegas Golden Knights.

On this ride, Stephen opens up about:

  • Whether industry events really bring the business
  • Why he believes in connecting people to people above everything else
  • How he’d reshape iGaming conferences (hint: more case studies, less fluff)
  • The single-sentence keynote he’d deliver if given the mic
  • The people and principles that shaped his journey
  • The art of closing deals and the mindset behind his business approach
  • Which song he cues up when it’s deal-done time
  • His take on when it’s “network” and when it’s definitely “not work”

“Stephen brought the kind of wisdom you only get from decades at the very top of gaming and a career spent building, betting, and believing in people,” said Krazhan. “It was a very inspirational, motivational talk—and Stephen officially earned a Bet It Drives seatbelt of honor.”

As always, Bet It Drives trades the studio for the streets of London, filming each episode entirely on the move with a multi-camera crew capturing both the ride and the real talk. The result is a podcast that has blended insider insights with unscripted, human moments all season long—from Alex Pratt and Helen Walton to Rohini Sardana, and now Stephen Crystal in the finale.

Watch Episode 4 with Stephen Crystal now on YouTube, Spotify, and Apple Podcasts.

That’s a wrap for Season 1. But don’t unbuckle just yet—Bet It Drives will be back soon. Follow GR8 Tech and stay tuned: Season 2 is already on the horizon, promising more bold voices, more candid conversations, and more reasons to hit play.

The post GR8 Tech’s Bet It Drives Wraps Season 1 with Stephen Crystal—From Las Vegas Legends to Global Gaming Leadership appeared first on European Gaming Industry News.

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