
Project Description
Essentially all mobile applications are severely power limited, which blocks huge business cases. Increasing functional complexity in mobile and autonomous applications impact the computational load by increasing power demands of embedded platforms. EFICAS introduces a generic and scalable software platform supporting energy-efficient deployment of AI algorithms on the multicore heterogeneous computation technologies. It supports all technology solutions, including localized and distributed computation settings as well as cloud offloading. It addresses resource allocation at runtime and hybrid coherent operation with optimized task allocation at design time.
Project Timing: Sep 01, 2021 – August 31, 2024

Use Cases

Autonomous
Agricultural Vehicle
Localization, navigation, object identification and equipment usage within field applications by high level of perception and decision-making.

Autonomous Mobile Robot
Using AMR’s that have full autonomous capacity as a test vehicle to implement AI driven algorithms to optimize energy consumption.

Industrial
Automation
Perception for industrial automation tasks in heterogeneous edge computing environments.
Contact
Project Coordinator
Dr. Hakan Mencek
Supported By
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