How can the age of an internet user be verified without uploading identity documents, revealing personal data, or resorting to facial recognition? This is precisely the question currently being addressed by the company Needemand from Montpellier. The young company has developed a technology that controls access to online content through micromovements of the hand, an approach as unusual as it is ambitious.
The solution is called BorderAge. Users hold their hand in front of the camera of a smartphone or computer. Then, the software analyzes minimal movements and motor patterns that are supposedly typical of different age groups. According to the company, this way it is possible to determine whether a person is above a certain minimum age. No identification, selfies, or biometric facial recognition are required.
The timing for this innovation could not be more delicate.
France and the European Union are intensifying their efforts to make it harder for minors to access social networks, gambling, and especially pornographic content. Legislators and regulatory bodies are seeking effective solutions that do not violate user privacy. It is precisely at this intersection that BorderAge positions itself.
Privacy advocates face a difficult balance. On one hand, political pressure is growing to better protect children and adolescents from inappropriate content. On the other hand, millions of citizens should be prevented from having to provide sensitive personal data to platforms or third parties. Therefore, systems that operate anonymously but reliably are especially attractive.
Needemand promises exactly this path. The technology should only determine an age category and not identify the identity. For users, this could offer the advantage of proving their majority without leaving digital traces in the form of document copies or biometric data.
It almost sounds a bit like science fiction.
Nevertheless, questions remain to be answered. The company claims a very high detection accuracy and, in a hearing before the Canadian Senate, even mentioned accuracy rates of up to 99 percent. These values would be remarkable, especially considering that the analysis is based solely on hand movements. However, so far there are no widely recognized independent studies that thoroughly confirm these claims.
Thus, BorderAge exemplifies an evolution that will likely gain importance in the coming years: age verification on the Internet must be secure, privacy-respecting, and as simple as possible at the same time. Whether the analysis of micro-movements of the hand really becomes a new standard will depend not only on the technical performance but also on the trust of authorities, platforms, and users.