GNU Taler v0.12 released
Our work is co-funded by the European Commissions and the Swiss State Secretariat for Education, Research and Innovation (SERI) as part of the NGI TALER project.
Do you waddle the waddle?
The camera is based on the STM32N6570 MCU, which integrates an Arm Cortex-M55 core with Helium vector extensions and an on-chip Neural-ART accelerator delivering up to 0.6 TOPS of AI performance. This allows the device to run lightweight computer vision workloads such as person detection, gesture recognition, and event-based monitoring locally, reducing latency and power consumption.
The hardware platform is based on the Rockchip RV1106G3 system-on-chip, which integrates a single Arm Cortex-A7 core with 256MB of RAM.
Our work is co-funded by the European Commissions and the Swiss State Secretariat for Education, Research and Innovation (SERI) as part of the NGI TALER project.