PixLab is thrilled to announce the launch of FACEIO's pioneering Age Verification Widget, a remarkable addition to the FACEIO SDK suite, specifically designed for web and mobile platforms. This state-of-the-art widget provides real-time age verification, ensuring that users can access content suitable for their age group, thereby promoting a safer digital environment.

Key Features and Benefits

• Instant Verification: The FACEIO Widget verifies user age in milliseconds, using advanced facial analysis to swiftly differentiate minors from adults.
• Enhanced Compliance: With precise age distinction, businesses can effortlessly adhere to regional and global age-related regulations, minimizing legal risks.
• Seamless Integration: Developers can easily incorporate the widget into existing platforms with minimal effort, supported by comprehensive documentation available on our Integration Guide and Developer Guides.

A Tool for All Digital Arenas

Whether you're managing an online gaming site, a digital marketplace, or a content streaming service, the Age Verification Widget is your solution to maintaining age integrity online. It ensures that each user's experience is not only compliant with legal standards but also tailored to their age-specific needs.

Future-Proof Your Platform

As digital interactions become increasingly personalized and regulated, integrating robust age verification technology is more crucial than ever. The FACEIO Age Verification Widget is more than just a tool—it's an investment in your platform's future, safeguarding your operations and enhancing user trust.

For more details on how to get started, visit our detailed documentation provided in the Integration Guide and the Developer Guides.

• In today's digital world, face authentication has become an essential part of our daily lives.
• From unlocking our smartphones to accessing secure online accounts, face recognition technology has made our lives more convenient and secure.
• However, with the rise of deep fakes and face spoofing attacks, the need for advanced face anti-spoofing and livesness detection solutions has never been greater.

What is Livesness Detection and Face Anti-Spoofing?

• Livesness detection introduced in late 2023 and already integrated and available to FACEIO customers, also known as face anti-spoofing, is a security feature that ensures that the person being authenticated is a living human being and not a photo, video, or mask.
• This feature is crucial in preventing unauthorized access to sensitive information and systems.
• However, livesness detection can be challenging to implement, as it imposes severe restrictions during authentication.
  • For example, users are not allowed to have a smartphone, laptop, or LCD screen behind them during the authentication process.
  • If any of these devices are detected, the authentication process is aborted, and an PAD_ATTACK error code is raised instead.

Example of Spoof ATTACKS deterred by our ML new model

PixLab's New Single Shot Liveness, Face Anti-Spoof & Deep-Fake Detector Model To the Rescue

• PixLab, a leading provider of AI-powered face authentication & Age Verification solutions, has recently released a new single shot livesness, face anti-spoofing, and deep-fake detector model for FACEIO.
• This innovative model is designed to provide enhanced security and accuracy in face authentication, making it an essential tool for businesses and individuals alike.
  • One of the key features of this model is its ability to detect faces in a single shot, without requiring multiple images or video frames.
  • This makes the authentication process faster and more convenient for users, while still maintaining a high level of security.
  • In addition, this model is highly accurate and can detect even the most sophisticated face spoofing attacks, including those that use 3D masks and other advanced techniques.
  • This makes it an ideal solution for businesses and organizations that require a high level of security and accuracy in their face authentication systems. Customers are already invited to try out the new face Anti-Spoofing model directly within the FACEIO Widget!

Conclusion

• PixLab's new single shot livesness, face anti-spoofing, and deep-fake detector model is a game-changer in the world of face authentication.
• With its advanced AI algorithms and highly accurate detection capabilities, this model provides enhanced security and convenience for users, while still maintaining a high level of accuracy and reliability.
• As the use of face recognition technology continues to grow, it is essential to have advanced solutions like PixLab's new model to ensure the security and privacy of our personal information.
• Whether you are a business owner or an individual user, this model is an essential tool for anyone who values security and convenience in their face authentication systems.

PixLab is thrilled to announce the release of PixLab Annotate 1.97, the latest version of our cutting-edge online image annotation tool. Designed to streamline and enhance the process of image labeling and segmentation, PixLab Annotate 1.97 is packed with new features and improvements that make it an indispensable tool for machine learning and computer vision projects.

Key Features of PixLab Annotate 1.97

• Enhanced Labeling Tools: The new version includes advanced rectangle and polygon zoom drag labeling tools, making the process of annotating images more precise and efficient.

• Optimized for Instance Segmentation: PixLab Annotate 1.97 is optimized for instance segmentation tasks, including support for Mask R-CNN, ensuring compatibility with advanced machine learning models.

• Client-Side Persistent Storage: With the introduction of client-side persistent storage, your data remains on your device, eliminating the need for data transfer and enhancing security and speed.

• Full-Screen Display and Snapshot Capture: The full-screen mode and snapshot capture feature allow for a more immersive and detailed annotation experience.

• Consistent JSON Output: The tool generates consistent JSON output, which is readily accepted by most machine learning frameworks, facilitating seamless integration into your workflow.

• Improved Label Management: Create, modify, and delete labels with ease, thanks to the improved label management system.

• Annotation Events Tracking: Keep track of your annotation history with the enhanced tracking feature, which includes undo and redo options for better control over your work.

• User-Friendly Interface: The interface of PixLab Annotate 1.97 is intuitive and easy to navigate, making it accessible for both beginners and experienced users.

Why Choose PixLab Annotate 1.97?

PixLab Annotate 1.97 is more than just an annotation tool; it's a comprehensive solution designed to meet the needs of professionals in the field of machine learning and computer vision. Whether you're working on a small project or a large-scale enterprise task, PixLab Annotate 1.97 offers the reliability, efficiency, and accuracy you need.

Get Started Today!

Experience the power and convenience of PixLab Annotate 1.97 today. Visit PixLab Annotate to explore these new features and see how they can transform your image annotation tasks. Join the community of professionals who are already leveraging the benefits of PixLab Annotate in their projects.

• Project Home Page: pixlab.io/annotate
• Annotate Online Web Application: annotate.pixlab.io

Stay tuned for more updates and enhancements as we continue to evolve and improve PixLab Annotate to meet your needs.

Happy annotating!

Kuala Lumpur, Malaysia - In a significant industry recognition, PixLab's Document Scanner has been awarded the title of the top KYC ID Verification provider for MyKAD in Malaysia. This honor underscores the company's commitment to excellence and its continuous drive to provide the best identity verification solutions in the market.

PixLab's Document Scanner has set itself apart with its cutting-edge machine learning technology, user-friendly interface, and stringent data security measures. Businesses across Malaysia have lauded the product for its accuracy and efficiency, making it the go-to solution for KYC ID verification.

Why PixLab Stands Out

PixLab's Document Scanner has been recognized as the number one KYC ID Verification provider for MyKAD in Malaysia. This accolade is not just a testament to the product's superior technology but also its commitment to ensuring a seamless user experience.

• Advanced Technology: Leveraging state-of-the-art machine learning algorithms, PixLab offers unparalleled accuracy in scanning and verifying MyKAD documents. This ensures that businesses can trust the authenticity of the ID being presented, reducing the risk of fraud.
• User-Centric Design: Understanding the importance of a smooth user journey, PixLab has designed its scanner to be intuitive. This means quicker onboarding for customers and less friction in the verification process.
• Data Security: In today's world, data breaches are a growing concern. PixLab prioritizes user data security, ensuring that all scanned information is encrypted and stored securely.

Related Articles

To learn more about PixLab's DOCSCAN API endpoint and its comprehensive features, please refer to the following articles & code samples:

1. Passports, Travel Documents & ID Cards Scan API Endpoint Available.
2. Full Scan Support for Malaysia and Singapore ID Cards.
3. Scanning Malaysian ID Cards with PixLab API.
4. Memindai Kad Pengenalan Malaysia dengan API PixLab: Panduan Lengkap.

Code Samples

• Scan Malaysia ID Card (MyKAD) (PHP Code)
• Scan government issued ID card from Malaysia (MyKAD, MyKID), extract the user face and parse all fields (Python Code)
• Scan an international issued Passport document using the PixLab API. Extract the user's face and display all MRZ fields (PHP Code)
• Scan an international issued Passport document using the PixLab API. Extract the user's face and display all MRZ fields (Python Code)

Press Release

"We are immensely proud of this recognition," said Mrad Chams, CTO of PixLab. "It reaffirms our dedication to providing the best solutions to our users. We understand the critical role identity verification plays in today's digital landscape, and PixLab strive to offer a product that is both reliable and easy to use".

As PixLab continues to innovate, the industry and its users can expect even more advanced features and enhanced user experience in the future. With its eyes set on global expansion, PixLab is on a trajectory to redefine identity verification standards worldwide.

For more information about PixLab and its award-winning Document Scanner, please visit PixLab's website.

PixLab, a leading provider of Machine Vision is thrilled to unveil our latest creation: Tiny Dream. This header only, C++ library represents a significant leap forward in the realm of Stable Diffusion Inference, all neatly packaged into a C++ framework.

What is Tiny Dream 🔥

Tiny Dream is a header only, dependency free, partially uncensored, Stable Diffusion implementation written in C++ with primary focus on CPU efficiency, and smaller memory footprint. Tiny Dream runs reasonably fast on the average consumer hardware, require only 1.7 ~ 5.5 GB of RAM to execute, does not enforce Nvidia GPUs presence, and is designed to be embedded on larger codebases (host programs) with an easy to use C++ API. The possibilities are literally endless, or at least extend to the boundaries of Stable Diffusion's latent manifold.

Features 🔥

For the extensive list of features, please refer to the official documentation here.

• OpenCV Dependency Free: Only stb_image_write.h from the excellent stb single-header, public domain C library is required for saving images to disk.
• Smallest, Run-Time Memory Footprint for Running Stable Diffusion in Inference.
• Straightforward to Integrate on Existing Codebases: Just drop tinydream.hpp and stb_image_write.h on your source tree with the Pre-trained Models & Assets.
• Reasonably fast on Intel/AMD CPUs (Benchmarks): With TBB threading and SSE/AVX vectorization.
• Support Real-ESRGAN, A Super Resolution Network Upscaler.
• Full Support for Words Priority: Instruct the model to pay attention, and give higher priority to word (keywords) surrounded by parenthesis ().
• Support for Output Metadata: Link meta information to your output images such as copyright notice, comments, or any other meta data you would like to see linked to your image.
• Support for Stable Diffusion Extra Parameters: Adjust Seed resizing & Guidance Scale.

Documentation & Resources to Get Started 🔥

• Getting Started Guide
• C++ API Reference Guide
• Pre-Trained Models & Assets Downloads
• Licensing Tiny-Dream
• Future Project Roadmap

Dive Deeper with GitHub

For those eager to explore the intricacies of Tiny Dream, we've made the entire project available on GitHub. Dive into the code, explore its features, and join our community of contributors. Check out the project here: Tiny Dream on GitHub.

Related Projects 🔥

You may find useful the following production-ready projects developed & maintained by PixLab | Symisc Systems:

• SOD - An Embedded, Dependency-Free, Computer Vision C/C++ Library.
• FACEIO - Cross Browser, Passwordless Facial Authentication Framework.
• PixLab Annotate - Online Image Annotation, Labeling & Segmentation Tool.
• ASCII Art - Real-Time ASCII Art Rendering C Library.
• UnQLite - An Embedded, Transactional Key/Value Database Engine.

In Conclusion:

The release of Tiny Dream marks a pivotal moment for us. We believe in pushing the boundaries of what's possible, and with Tiny Dream, we're one step closer to redefining the future of Stable Diffusion inference. We invite you to join us on this exciting journey, explore Tiny Dream, and witness the future of C++ libraries.

Thank you for your continued support and enthusiasm. Here's to many more innovations ahead!

Stay tuned for more updates and announcements. Your feedback and contributions are always welcome!

FOR IMMEDIATE RELEASE

PixLab, a leading provider of advanced image and video analysis solutions, is thrilled to unveil its newly redesigned and highly innovative Machine Learning-based document scanner engine, developed in-house.

This groundbreaking technology is specifically designed for Know Your Customer (KYC) and ID verification tasks, offering customer onboarding solutions that go beyond standard KYC and Anti-Money Laundering (AML) checks. The PixLab DOCSCAN API Endpoint empowers organizations to boost conversions, reduce fraud, and maintain global compliance effortlessly.

The PixLab DOCSCAN API Endpoint revolutionizes the way government-issued documents, including Passports, Visas, U.S Driver License, and ID cards from various countries including but not limited to Malaysia, Singapore, India, and Emirates, are scanned and verified. With a single call, organizations can effortlessly scan and extract critical information from these documents. The API endpoint also features automatic face extraction, enhancing the accuracy and completeness of the scanning process.

Below, the DOCSCAN API endpoint output for a typical Input Passport Image:

Input Passport Specimen (JPEG/PNG/BMP Image or PDF Upload)

And, the extracted Passport (MRZ) Fields

One of the key highlights of the DOCSCAN API endpoint is its ability to transform binary data, such as Passport Machine Readable Zone (MRZ), into a stream of textual content in JSON format. This includes extracting crucial details such as the Full Name, Issuing Country, Document Number, Date of Birth & Expiry, etc.. This seamless integration of the extracted information into your application allows for streamlined and efficient processes, reducing manual effort and eliminating errors.

PixLab takes document scanning and verification to the next level by offering additional features that help identify possible fraudulent documents. The DOCSCAN API endpoint's automated face scanning capabilities, combined with its MRZ extraction functionality, enable developers to automate passport scanning while maintaining stringent security standards. This empowers organizations to protect against fraudulent activities and maintain the integrity of their processes.

Input ID Card Specimen from Malaysia (MyKAD) (JPEG/PNG/BMP Image or PDF Upload)

And, the extracted MyKAD Fields including Face Extraction, Date Of Birth, Full Name, Address, Religion, and ID Number

In today's increasingly digitized era, the need for automation and efficiency is paramount. Manual and repetitive administrative tasks can be time-consuming, error-prone, and costly. By leveraging the power of the PixLab DOCSCAN API endpoint, organizations can automate passport processing, resulting in substantial cost savings, accelerated customer on-boarding, and enhanced accuracy in administrative processes.

Finally, to learn more about PixLab's DOCSCAN API endpoint and its comprehensive features, please refer to the previous blog posts & code samples:

1. Passports, Travel Documents & ID Cards Scan API Endpoint Available
2. Full Scan Support for Malaysia and Singapore ID Cards
3. Full Scan Support for United Arab Emirates (UAE) ID/Residence Cards
4. PixLab’s Document Scanner now able to scan Driving License issued from any U.S. state
5. Implement a Minimalistic KYC Form & Identify Verification Check
6. Step-by-step guide to do e-KYC in your app
7. Streamlining KYC with PixLab Document Scanner API

Code Samples

1. Scan a government issued Passport document using the PixLab API. Extract the user's face and display all MRZ fields (PHP Code)
2. Scan a government issued Passport document using the PixLab API. Extract the user's face and display all MRZ fields (Python Code)
3. Scan Malaysia ID Card (MyKAD) (PHP Code)
4. Scan government issued ID card from Malaysia (MyKAD, MyKID)., extract the user face and parse all fields (Python Code)

About PixLab

PixLab is a leading provider of advanced image and video analysis solutions, leveraging state-of-the-art technologies such as Machine Learning and Artificial Intelligence. With a commitment to innovation, PixLab empowers organizations across industries to automate and streamline their image and video processing workflows. The company's robust APIs and developer-friendly tools enable businesses to extract valuable insights, perform accurate face recognition, analyze emotions, detect objects, and much more.

The FACEIO Development Team is thrilled to announce the immediate availability of fio.js V2.1, our cutting-edge Facial Recognition Web Framework with groundbreaking new features with the goal of enhancing security and compliance for your applications.

Over the past few months, we have developed an innovative age verification security option that prevents minors from on-boarding on your application, ensuring your sensitive services remain accessible only to the appropriate age groups.

Enhanced Security with Minors Access Prevention 🛡️

When activated, this powerful security feature diligently screens and identifies users' age during the on-boarding process, and thus will forbid minors less than 18 years old from enrolling on your application with the fioErrCode.MINORS_NOT_ALLOWED error code being raised if a minor try to on-board on your application, reinforcing your compliance and security measures. This highly requested security feature is immediately available to trigger from the FACEIO Console. Please refer to the updated boilerplate integration code to see this feature in action.

Comply with Jurisdictional Regulations 📜

If your application is offering sensitive services or operating in jurisdictions such as the UK and certain US states that strictly prohibit minors from accessing such services, this security feature is mandatory & invaluable tool for you. By activating it, you can seamlessly align with legal requirements and ensure that only eligible users gain access to your platform.

PAS 1296:2018 Compliance & Age Verification Check

We understand the criticality of meeting industry standards and regulations. That's why we are excited to inform you that PixLab Insight, the default Facial Recognition Engine for FACEIO, is ready to fulfill the PAS 1296:2018 code of practice for online age verification accredited by the UK's Age Check Certification Scheme (ACCS). Our technology guarantees robust age verification capabilities, bolstering your compliance efforts.

Experience the Future of Secure Facial Recognition ✨

At FACEIO, we are committed to providing you with state-of-the-art tools to safeguard your applications and users. The introduction of Minors Access Restriction adds an extra layer of security, giving you peace of mind and enabling you to cater to the right audience for your services.

To explore this exciting new feature and integrate it into your application, simply connect to the FACEIO Console, and activate this option from the Security Tab of your Application Manager. Our comprehensive documentation will guide you through the activation process and assist you in optimizing the functionality for your unique requirements.

24/7 Support & Integration Assistance

We would be thrilled to assist you in implementing the Minors Access Prevention Security Feature or answer any questions you may have. Reach out to our dedicated support team via the FACEIO Console or the Community Forum. Our experts are ready to provide you with top-notch assistance and help you unlock the full potential of FACEIO.

Embrace the power of age verification and elevate the security standards of your FACEIO application. Join us on this exciting journey as we revolutionize facial recognition technology together!

Stay secure, stay compliant, and stay ahead with FACEIO!