Business
Facial Age Estimation white paper
Making it faster and safer to prove your age Our age estimation technology accurately estimates a person’s age by looking at their face. We built it to give everyone a secure and private way of proving how old they are in different everyday scenarios: from age checking on social platforms and online stores, to supermarket self-checkouts, bars and clubs. This privacy-friendly approach to age verification doesn’t require any personal details or documents, and all information is instantly deleted once someone receives their estimated age – nothing is ever viewed by a human. Key takeaways
How Pioneering People digitised all identity checks
“Since implementing Yoti and having them check our 40k+ users’ identities, our experience so far has been seamless. Being a fintech platform where one of our main USPs is speed, it was vital that we partnered with a company that also valued that, alongside quality.” Rita Kastrati CEO at Pioneering People Pioneering People is a fintech matchmaking platform, connecting verified companies with verified workers. Pioneering people pays workers within 1-2 days of completing their shift and has a minimum hourly payment of £13.50 (above London Living Wage) per hour for all shifts. They work with companies in
2.5 million Scots are using myaccount and Yoti to improve everyday admin tasks
In 2014, the Improvement Service, the organisation for local government improvement in Scotland, launched myaccount, a single sign-on portal that gives citizens access to different online public sector services. The Improvement Service started working with Yoti as some public sector services require a higher level of identity assurance. Since launching, 50% of the eligible population (2.5 million people) are now using myaccount to make everyday admin tasks easier, quicker and more secure. Over one million National Entitlement Card (NEC) applications have been submitted online, with Yoti verifying the identity of every applicant. The time for someone to receive
Introducing integrations: making it easier for you to use Yoti
Today, we’re launching our integrations, helping businesses streamline identity and age verification processes and embed them within their existing software. So far, we have over 70 integrations. That’s more than any other identity company. Yoti integrates into over 70 of the biggest SAAS products From video conferencing platforms, HR platforms, customer relationship management (CRM) tools and financing and accounting software, you can benefit from our verification solutions without the expensive integration costs. We’ll build, monitor and manage the integrated systems you choose – there’s no need to allocate the time and resources of your team. Streamlining verification processes within
How facial biometric verification protects your customers from identity fraud
Back in the day, identity theft mostly involved fraudsters stealing personal information, such as credit card details, to commit fraud or impersonate others in person. It was a pretty straightforward game of cat and mouse between scammers and a business, typically carried out face-to-face. As the world has become more digitised, identity fraud has evolved to meet this digital world. One powerful solution in our arsenal against biometric frauds is biometric verification. Let’s dive into what it is, how it works, and why it’s crucial for keeping your customers and online community safe. What is identity fraud? Identity
Why do Yoti facial age estimation results published by NIST differ to those reported by Yoti in its white papers
In September 2023, we submitted our facial age estimation model to the US National Institute of Standards and Technology (NIST), as part of a public testing process. This is the first time since 2014 that NIST has evaluated facial age estimation algorithms. NIST age estimation reports are likely to become a globally trusted performance guide for vendor models. NIST assessed vendor Facial Age Estimation models using 4 data test sets at certain image sizes: NIST provides some example images: NIST note in their report that age estimation accuracy “will depend on