We talk Edge-AI! You, too? If so, let´s plan and realize cutting-edge Edge-AI technologies and solutions that will increase the performance, sustainability and efficiency for a lot of industrial, medical and automotive applications. We provide a wide range of technologies, solutions and possibilities for enterprises to build-up Edge AI knowhow in their facilities to steer their processes by themselves.
Another challenge the whole embedded community has to face is the sovereignty of technology and to secure supply chains and technology access.
With the Bavarian Chip-Design-Center we provide an important milestone for these issues: Chiplet technologies and implementation, ASIC and IC design that are focused on customer- and application-oriented requirements as well as energy-efficiency and
sustainability on top. With our future-proof Low Power Wide Area Network LPWAN mioty® e. g. we set new standards in the field of wireless data transmission in terms of scalability, cost efficiency, range, transmission security and battery life. Mobile ad-hoc networks for reliable communication in robot or drone fleets will increasingly influence the way how we work in our industries.
Our Low Power Wide Area Network LPWAN mioty® sets new standards in the field of wireless data transmission in terms of scalability, cost efficiency, range, transmission security and battery life. Our demonstration shows an energy self-sufficient mioty® base station and energy self-sufficient sensors powered by energy harvesting in an agricultural use case. We also present various chipsets and platforms on which mioty® can be used.
Ambient IoT is an ecosystem for connecting and automating a large number of smart objects and devices. Each object is connected to low-cost, self-powered sensor nodes to form a wireless IoT sensor network. With energy harvesting, vibrations on devices, machines, buildings or temperature differences between pipes, cables, etc. and the environment can be used to generate electrical energy.
Current neural network architectures require high computing power and a lot of energy. Neuromorphic hardware uses massive parallel processing to perform machine learning faster and more energy-efficiently, among other things. Efficient architectures that optimize computing power, energy consumption and chip area are crucial for the use of neural networks in embedded devices.
The energy-efficient RFicient® radio receiver technology with a current consumption less than 3 µA can receive radio telegrams in three license-free frequency bands simultaneously and independently of each other. This makes positioning systems for the localization of objects in warehouses possible, but also worldwide mobile applications, such as container tracking without manual frequency switching.
The Bavarian Chip-Design-Center strengthens chip design capabilities in Bavaria and makes it easier for companies to access chip design and supply chains. It develops IP portfolios, promotes talent with targeted trainee programs and further training and provides access to its own ICs as prototypes and small series.
IC-Design – Customized Mixed Signal ASICs, SoCs and IP Cores
As one of Europe's leading IC design facilities, we develop customized solutions for the requirements of industrial applications. Independent of technology and manufacturer, we specialize in mixed-signal ASICs, integrated sensor systems and complex design solutions. From the idea to series production, we are your partner for industrial, communication, automotive, and more.
Robot and drone fleets are increasingly being used in industry. Thanks to our ad-hoc network, these helpers communicate reliably – completely without stationary network infrastructure.