Challenges related to “on the move” biometrics are 1/ lower quality live biometric data, and 2/ no time to read the ePassport. Also, fully automatic biometric border control solutions, even with a stop allowed, are currently deployed only for pedestrians in controlled environment. Carmen offers biometric solutions for non-stop border control, suitable for pedestrians and vehicles, in uncontrolled environmental conditions. Travellers’ authentication is achieved in two steps: 1) the biometric data (face, iris, periocular) of travellers is securely stored in their smartphones, thanks to a DTC (Digital Traveler Credential).2) the biometric data is securely transferred from the DTC to the police infrastructure, and compared to the live biometric data collected as the traveller crosses the border control point.To address a variety of environmental conditions, Carmen uses both NIR and RGB live biometric images and compare them to the reference images that have been acquired with one type of lighting only. To make biometrics more robust, Carmen has a multimodal approach on face iris and periocular regions. In the fraud detection, Carmen detects presentation attacks on moving travellers and searches strange travellers’ behaviour. To address small and large border control points, Carmen enables the use of fix and body-worn cameras. To address travellers in cars or lorries, Carmen detects face images in slowly moving vehicles, through the windows. Travellers in coaches are controlled by border guards walking through the coach, using dedicated portable equipment as they walk. Carmen addresses the robustness of DTC via data injection attacks. Of course, Carmen complies with the existing legal and ethical standards, and privacy is a central concern. Carmen solutions will be demonstrated in operational conditions over the UK - France border, as French and UK border authorities are part of Carmen consortium, using the infrastructure proposed by the partner Brittany Ferries.