Incode Technologies has introduced its On-Device Age Estimation, a robust age verification solution that performs age estimation and liveness detection directly on users' devices. This innovation marks the first instance where Incode's proprietary models are entirely available on a device, aiming to enhance user privacy by keeping facial data entirely on the user's device.
The service is distinguished by its integration with advanced deepfake and spoofing defences, designed to meet increasing regulatory demands. With over 30 age assurance laws currently enacted globally, including the UK's Online Safety Act’s stipulation for a "highly effective" age check, there’s a pressing need for reliable age verification. Incode's solution aims to bridge the gap between regulatory compliance and user trust by offering a seamless, inclusive age verification method that prioritises privacy.
Facial age estimation technology
The service is distinguished by its integration with advanced deepfake and spoofing defences
When users need to verify their age online, Incode’s technology facilitates this directly through the device’s camera, analysing the user's face without transmitting or storing any facial data. What is communicated beyond the device is the age estimation result and relevant metadata to detect any potential tampering, such as the use of fake camera feeds or prerecorded videos.
Ricardo Amper, Founder and CEO of Incode, emphasised, “We have always believed that privacy and fraud prevention are not a tradeoff, but part of the same problem - solved together or not at all." He further noted the global legislative shift towards mandatory age checks, asserting the importance of making the verification process as efficient and unobtrusive as possible.
The age assurance industry traditionally relies on a privacy policy that mandates the careful handling and deletion of biometric data after an age check. Incode’s on-device estimation enhances privacy further by analysing facial data locally on the user's device, ensuring neither Incode nor any client platform can access the biometric details or facial images.
Incode Technologies launches On-Device Age Estimation, an age check that runs age estimation and liveness detection models right inside the user’s device without their face being transmitted off it. It is the first time Incode’s proprietary models are available fully on device. And it is the first enterprise-ready offering to combine on-device age estimation with the industry’s pioneer deepfake and spoofing defences.
More than 30 age assurance laws are now in force worldwide. In the UK, the Online Safety Act’s “highly effective” age check requirement is being enforced, with restrictions on under-16 access to social media planned for spring 2027. Incode is working to close the gap between compliance and user trust: offering an age assurance method that is seamless, inclusive, and built for a stronger standard of privacy.
Facial age estimation technology
When a user needs to verify their age online, the check happens where the user already is: the camera opens and Incode’s models analyse the face directly on the phone, tablet, or laptop. The face is not transmitted or stored. What travels onward is the outcome - an estimation of the user’s age together with metadata used to detect tampering, such as someone swapping in a fake camera feed or replaying a recorded video instead of a live one.
In plain terms: the user proves their age. The face stays on the device. Age checks are rapidly becoming a legal requirement rather than a product choice. Facial age estimation technology has emerged as one of the most accessible ways to meet that requirement - it needs no government ID and no database lookup, which makes it a practical option for many users of various age groups, including those who have no documents to show.
Age verification requirement
“We have always believed that privacy and fraud prevention are not a tradeoff, but part of the same problem - solved together or not at all,” said Ricardo Amper, Founder and CEO of Incode. “Age checks are becoming law around the world. Our job is to do what we can so that proving your age asks as little of the user as possible.”
The age assurance industry’s standard for facial age estimation has been a privacy policy stating that biometric data will be handled with care and deleted after the check happens. On-device age estimation is designed to give users a more privacy-preserving option at the moment they face an age verification requirement. Because the face is analysed on the user’s own device, there is no technical way for Incode or any client platform to access a biometric or face image.
