IN Groupe and Datakalab combine their expertise to secure border crossings, relying on Edge Computing

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IN Groupe and Datakalab combine their expertise to secure border crossings_ relying on Edge Computing

A leading European player working in the general interest, IN Groupe is both a trusted partner and a moral guarantor to support the transformation of uses based on the identity of citizens, professionals like objects.

The fluidity of border crossings, a problem at the heart of States’ concerns

The requirements of States in the management of their border control are constantly increasing, in particular through the implementation of new regulations. The need for enhanced security must be combined with a smoother border crossing.

In Europe, for example, this development will result in systematic checks on people entering and leaving Schengen territory, whether they are Europeans or from third countries, with or without a visa.

In this context, it is necessary to anticipate the uses resorting to physical and digital identities by proposing the best solutions, durably, for the present and for future challenges, while guaranteeing the conditions of the sovereignty of States and the associated challenges.

IN Groupe and Dakatalab, a partnership to increase the performance of border crossings

Streamlining these border crossings will increase the use of automated control equipment such as the Parafe systems that we know in Europe .

A trusted partner of States in the exercise of their sovereignty, IN Groupe has joined forces with the French start-up Datakalab in order to develop an unprecedented smart technology solution for the benefit of automated border control.

The two companies have thus combined their expertise to integrate their technology into the uniqueness control equipment, consisting in verifying that a single person has actually entered an airlock to pass a control. Until now, this was based on sensors that no longer allow these new levels of requirements to be taken into account. With this offer, IN Groupe and Dataklab are strengthening these systems by offering a secure, simple and agile solution, the technology of which meets higher levels of control.

Also Read: Leverage Old Technology to Adapt to New Cloud Security Threat Landscape

Artificial Intelligence, a lever to streamline border crossings

IN Groupe and Datakalab have succeeded in integrating a solution using artificial intelligence into the equipment. This innovation detects single-pass fraud, leveraging edge computing technologies applied to image analysis to enable operation on local neural networks. Thus, the real-time image analysis solution makes it possible to distinguish the number of people present in the airlock to ensure that only one individual is in the gate.

The results show much higher performance levels than traditional uniqueness detection methods based on volume sensors. In addition, thanks to an integrated iterative learning mechanism, equipment is expected to become even more efficient and smarter.

This technology not only complies with current regulations (GDPR in particular) but it will also make it possible to adapt to future developments, always with the same flexibility.

Yann Haguet, EVP Identity of IN Groupe, declares

“We are delighted with this partnership with Datakalab which marks a turning point in history towards smart border crossings. This solution has the advantage of being scalable and will allow flexible handling of any new constraint or change requested by States and operators. This is a major advance in the ability to deploy future regulations. “

Xavier Fischer , CEO of Datakalab,

“We are happy that IN Groupe chose Datakalab for this first partnership, for its technological advantages as well as for its shared values ​​around respect for privacy. This collaboration allows us to achieve greater levels of precision than traditional methods. This technological partnership is all the more virtuous as our two companies share the same ambition: to develop image analysis products that respect privacy without image storage. “

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