JAS-SDR is a highly scalable SDR Solution, that is field tested and can be easily integrated into any SoC. JAS-SDR solution, in combination with Ji's dedicated Tuner infrastructure, offers -Interoperability, Ease of manufacture, Multi Functionality, Efficiency and upgradability.
Jasmin's production grade and field tested JASRaMiSt provides our customers with a customizable Radio Control Middleware framework. JASRaMist in combination with our deep domain knowledge enables scalable and customizable Radio Application.
Jasmin's JasAura is a highly customisable and OS independent Signal Chain Package. With the option to include multiple Audio modules this solution enables customers to create need specific signal path flow.
We4Auto test automation tool built in collaboration with We4Data GmbH is a ready to deploy and customizable tool with an inbuilt ability to support multiple automotive interfaces, easy functionality upgrade, customization, and capability to test Automotive Embedded Solutions.
Jasmin's JasOrch is our evolved Surround Sound Marvel for Cars. It is a suite of audio algorithms that enhances the audio experience in car by providing a marvellous surround sound which is rich in bass, elevated to ear level and crystal-clear.
JAS-LinK - Jasmin's field tested & production grade Seamless Linking solution has been deployed in vehicles globally in the past decade. JAS-Link's scalability and flexibility ensures a quick time to market solution for switching between multiple radio standards.
Jasmin's AUTOSAR OS Profiler has been developed using our Expertise in Vehicle Interface. It is used in the development chain to records the maximum execution time of OS-Tasks and Interrupts.
JAS-ETI is used in simulated environments to test radio solutions to ensure conformance. JAS-ETI’s customizable build in addition to being a field-tested production-grade tool has enabled our customers to deploy the tool for Radio Solutions development in global car markets.
Jasmin's WuW is our Wake Up Word Detection Algorithm. Built around Deep Neural Network learning, this solution enables voice recognition and action for those who communicate with their Vehicles.