Description
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NANO S 2
The simplest solution among the vehicle interfaces offered by TEXA.
Small, robust, lightweight and ergonomic, it has been specifically developed for the diagnostic operations in the CAR environment.
Every aspect of NAVIGATOR NANO S 2 has been carefully designed and developed to fully satisfy the needs of the modern workshops, creating an interface that is rich in innovative technical details.
Just think of its new latest-generation processor, 8 GB storage, and an advanced connectivity that includes a Bluetooth 5.0 module.
Moreover, NAVIGATOR NANO S 2 is compatible with the CAN FD, supporting the simultaneous management of the 3 channels, and DoIP communication protocols.
NAVIGATOR NANO S 2 is only compatible with the IDC6 CAR diagnostic software.
Software IDC6

IDC6 is the peak of innovation and integration in the field of automotive diagnostics, as it can interact and continuously adapt to the new features in the industry. It creates the perfect synergy between TEXA’s display units and vehicle interfaces, taking repair professionals always to the core of multi-brand and multi-environment diagnostics.
Its advanced architecture and an ever more intuitive diagnostic interface provide an incredible diagnostic experience: users can quickly and accurately access the diagnostic information they need to solve any kind of problem in the vehicle. Furthermore, IDC6 updates itself constantly. This allows being always at the forefront of modern vehicle diagnostics. From now on it will be even easier to work efficiently and safely, reducing downtimes of the vehicle and increasing customer satisfaction.
The system was designed to face the challenges of the future of diagnosis. In fact, with the evolution of the technologies that feature the latest generation mobility industry, the need for authentication in order to perform protected operations or settings provided for by the manufacturers becomes more and more common.
IDC6 is an intelligent application as it has an evolutionary capability to satisfy user needs over time, by learning from their behaviours and recommending the use of certain functions that are used less. Furthermore, it creates shortcuts for the most frequent operations, thus improving efficiency and user experience.
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