fio.js V2.1 Released with Age Verification & Minors Access Restriction

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.

FACEIO Landing Page

Enhanced Security with Minors Access Prevention 🛡️

Prevent Minors From Enrolling

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!

Introducing PixLab's New Privacy Policy, DMCA Guidelines, and Terms of Use

PixLAB_Symisc

We are excited to announce important updates to the Privacy Policy, DMCA Guidelines, and Terms of Services of the PixLab Websites, Cloud Services, and APIs.

At PixLab, we strive to provide our users with the highest level of transparency, security, and control over their personal data. These updates align with the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) to ensure compliance and protect your privacy.

New Privacy Policy: Safeguarding Your Data, Respecting Your Privacy

Our revamped Privacy Policy puts your privacy at the forefront. We understand the significance of your personal information and have implemented robust measures to protect it. This policy outlines the types of data we collect, how we use it, and how we ensure its security. Additionally, it informs you about your rights and the choices you have regarding your data.

To learn more about our privacy practices, including data collection, usage, storage, and your rights as a user, we invite you to review our updated privacy policy available at https://pixlab.io/privacy-policy. By continuing to use the PixLab APIs, you are agreeing to the revised policy

DMCA Guidelines: Protecting Copyrighted Material

At PixLab, we respect intellectual property rights and take copyright infringement seriously. Our DMCA Guidelines outline the steps to report any content that infringes upon your copyrights. We have implemented a streamlined process to ensure prompt and efficient handling of DMCA takedown requests.

If you believe your copyrighted material is being used improperly on PixLab, please follow the instructions provided in our DMCA guidelines, which can be found within our terms of use at https://pixlab.io/dmca.

Terms of Service: A New Framework for Collaboration

Our terms of services define the rules and regulations for using PixLab's website and APIs. By using our services, you agree to abide by these terms and conditions. They cover a range of important aspects, including user responsibilities, content ownership, limitations of liability, and more.

We encourage you to familiarize yourself with our terms of use, available at https://pixlab.io/terms, to understand your rights and obligations when using PixLab.

Your Trust Matters

As a user of PixLab, your trust is of utmost importance to us. We are committed to maintaining the highest standards of privacy and data protection. These updates to our Privacy Policy, DMCA Guidelines, and Terms of Services aim to provide you with increased control, transparency, and legal compliance.

We value your feedback and are constantly working to improve our services. If you have any questions or concerns about these updates or any aspect of PixLab, please reach out to our support team via our various communication channels.

Finally, we thank you for choosing PixLab as your trusted platform for image and video processing. We look forward to continuing our journey together while prioritizing your privacy and security.

New REST API Endpoints Available for FACEIO

The FACEIO development team is pleased to announce the general availability of new REST API Endpoints for developers implementing fio.js, our facial authentication library on their websites or web applications.

FACEIO Landing Page

With the new API Endpoints, you can now programmtically talk to your FACEIO application via your private backend regardless of the underlying programming language whether it is Python, Ruby, Java, PHP, etc. as long as it supports HTTP based requests.

These endpoints have been designed with developers in mind and are fully documented, making it easy for the developer to get started. The list of new released API endpoints includes but not limited to:

To get started with the new REST API endpoints, simply head over to faceio.net/rest-api and consult the documentation. The documentation is comprehensive and includes examples to help you get started quickly.

We are confident that the new released API endpoints will be a valuable addition to your FACEIO integration and will help developers automate tasks such as Facial ID Deletion, PIN Code Reset, Payload Update, etc.

Finally, If you have any questions or feedback, please do not hesitate to raise a support ticket via the FACEIO Console. Our team is always ready to help and support you in any way we can.

Livneness Detection & Face Anti-Spoofing Security Feature Available for FACEIO

The FACEIO development team is pleased to announce the immediate availability of our Liveness Detection, Presentation Attacks Mitigation (PAD) & Face Anti-Spoofing Security Option. A highly requested feature by our customers that is now deployed & fully operational on FACEIO thanks to a PixLab implementation.

FACEIO Landing Page

Liveness detection in biometrics is the ability for a system to detect if the target face is real from a live person present at the point of capture or fake from a spoof artifact or lifeless body part.

Face Anti-Spoofing on the other side, is the task of preventing false facial authentication when implementing fio.js, our facial recognition library on your web site or application using a smartphone picture, or printed image for an authorized person's face.

Face Anti-Spoofing Security Option

Presentation Attacks Mitigation

With this security option enabled, Smartphone & Print Attacks originating from a static image or video stream are easily deterred during Authentication & Enrollment when enabled for your FACEIO application.

The Face Anti-Spoofing Security Option is immediately available to trigger from the Application Manager (Security Tab) on the FACEIO Console.

Press Release & Model Roadmap

Our Press Release document including a general overview of the approach used to implement Face Anti-Spoofing for FACEIO is available to consult at: cdn.faceio.net/faceio_liveness_detection.pdf.

This implementation & further model enhancements, are pushed transparently, and no action or code changes are required on your side. Just an option to trigger from the Application Manager on the FACEIO CONSOLE.

Implementation Overview

Once a new user enroll or authenticate on your application, the Face Anti-Spoof engine shall be triggered to filter out spoof & presentation attacks. Upon an attack is detected, the fioErrCode.PAD_ATTACK error code is raised, and you should act accordingly such as banning the acting user depending on your policy.

Please note that Face Anti-Spoofing mitigation is a resource intensive operation, therefore it is available starting from the Business Plan, and up. Nevertheless, it takes less than 600 milliseconds to execute thanks to a heavily optimized implementation.

NPM Package Released for FACEIO

FACEIO NPM Package

We are pleased to announce the graduation of the FACEIO's NPPM Package from beta to general availability, so it's even easier to leverage the power of facial authentication to your Node based web application.

The fio.js NPM package supports Web developers using FACEIO by reducing friction when implementing fio.js, our facial recognition library on their web sites or apps regardless of the underlying JavaScript framework whether it is React, Angular, Vue, Next, React Native or even Vanilla JavaScript.

Getting Started

To help you get started using FACEIO' NPM Package, we've outlined some basic steps below. For more information, refer to the official integration guide:

Community Tutorials

The following, high-content, community contributed guides & tutorials should help you implement fio.js on your web application using your favorite JavaScript framework:

Share Your Feedback

Finally, if you’ve had a chance to use the new FACEIO' NPM Package, and have any feedback or suggestions you’d like to share, please do reach out to us on the GitHub repository or open a new support ticket via the FACEIO Console. We really look forward to hear back from you!

If you encounter any bugs or technical issues while using our new NPM Package, we want to know so we can make things right. Please be sure to file a report on our GitHub repository.