This guide outlines essential practices for capturing and uploading ID documents and selfies, ensuring a smooth and secure digital onboarding experience. By adhering to these guidelines, users can significantly enhance the accuracy of identity verification, reducing errors and improving the overall success rate.
For the most effective liveness checks, it's best to take a selfie directly from a mobile phone. Here's how to capture the perfect selfie for verification purposes:
Capturing ID documents correctly is just as crucial as selfie capture. Follow these tips for the best results:
When uploading photos for verification, it's important to use compatible file formats. Here are the formats we support and their recommended uses:
Note: Uploading photos in formats not optimized for liveness detection may reduce accuracy. If uploading a selfie, ensure it meets the minimum file requirements.
By following these guidelines, users can expect a more efficient verification process, leading to a higher success rate in user onboarding and a superior user experience. Proper image capture and adherence to technical specifications are key to the seamless integration of security measures in digital platforms.
Threat actors use generative AI deepfakes to create or manipulate facial images for identity fraud. The process involves either generating new faces or altering existing images tailored to the victim's identity or created to pass as a legitimate user using generative AI. To address the problem specific image capture security protocols and a robust liveness algorithm should be used to effectively block generative AI spoofing attempts.
As the landscape of digital identity verification rapidly evolves, Artificial Intelligence (AI) is at the forefront, reshaping traditional approaches. This deep dive into AI's role in identity verification is for those familiar with the nuances of data science and computer science.
Deep Learning, particularly Convolutional Neural Networks (CNNs), has revolutionized facial recognition technology. This layered approach enables the model to discern intricate facial patterns, enhancing recognition accuracy. Backpropagation, a key mechanism in CNNs, refines these features, significantly improving the model's ability to distinguish subtle facial characteristics.
Misidentification of people based on ethnicity, gender, and age plagues the facial recognition industry, and it’s a continuing mission of ours to fix this problem.
In our increasingly digital world, 'IDV' or identity verification is more than a buzzword; it's a fundamental component of online security and trust.
Kairos, the Miami based face recognition provider who gained global attention in 2018 for its early stance to highlight algorithm bias in face recognition systems, has brought back Brian Brackeen, the founder of the company who in the same year was separated from his position as CEO preceding a legal battle which ended in Brackeen’s favor.
A strong scientific discipline is key to the success of any AI focused startup. And having the best minds working on your problem, is the only way to generate category challenging results.
Google Next is Google’s annual conference focusing on their cloud computing offering, Google Cloud Platform. Thanks to our great Google Cloud account team in Miami, we were able to attend this year and learn about Google’s new announcements, network with experts and other peer companies, and get some in depth knowledge about GCP.
Every month, we’re bringing you the best news and views on the most compelling topic in technology today—Identity. All lovingly curated by the team at Kairos.
Facial Recognition is in big demand with businesses all over the world—from preventing fraud to enabling more profitable customer experiences; it’s becoming the natural authority on identity. Which is why we’re excited to announce a renewed partnership between Kairos and RapidAPI—the leading API marketplace for software developers.
Last week I attended the 2nd Annual Biometric Summit in New York City. It was hosted at a cool co-working space called “Rise” that’s sponsored by Barclays Bank and TechStars incubator. It was one of the smaller summits I have attended, with a single track and about 100 attendees—ranging from biometric vendors and end-users to analysts (? Alan Goode) and investors.
As Kairos’ Director of Product Integration, I’m on the front lines when it comes to customer inquiries. From pet detection to weight detection, I’ve heard it all. While some ideas are more far-fetched than others, the common trends cannot be ignored—and these represent innovations that are happening NOW.
From getting the latest TechCrunch headlines on your phone, to booking a Lyft to your office—APIs are powering most of the products and services we all take for granted each day. They make the world move.
This month, CB Insights mapped out the top-funded AI startups in every US state—and, Miami based face recognition company, Kairos came out on top for Florida.