IoT
Armasuisse Main Research Project
In collaboration with armasuisse, PBL is developing a heterogeneous IoT sensor network for real-time (aerial) threat detection. By deploying efficient AI algorithms on distributed visual sensor nodes, the system enables long-term, continuous environmental monitoring while operating on battery power for several months.
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Camera Ball
The latest addition to the heterogeneous visual sensing network for real-time threat detection is a camera ball. Equipped with six cameras, the system provides full 360° visual coverage and employs a state-of-the-art object detection network for on-board image processing.
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Drone Detection with a PTU
Due to their minimal radar cross-section, drones pose a significant threat in modern warfare. PBL is currently developing a novel surveillance approach based on event-based cameras. This technology provides complementary optical advantages over conventional radar-, radio-, and acoustic-based drone surveillance systems, while mitigating the limitations of traditional optical approaches.
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In-Vivo Vital Sign Monitoring of Animals
The project aims to monitor real animals during In-Vivo testing. The project wants to increase the anymal welfare in laboratory testing, using non-invasive vital sign tracking using FMCW radars. external page Recent publication on the project.
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Non-invasive animal monitoring in zoological environments
This research investigates efficient, non-invasive animal monitoring in zoological environments to better understand social behavior, health, and overall well-being of different animals. We investigate the integration of a novel data collection approaches using our custom embedded sensing platform tailored to the application given by the different animals and their behavior and habitat. The system integrates Ultra-Wideband (UWB), LoRa, and GNSS technologies to enable accurate localization, long-range communication, and energy-efficient operation. By minimizing disturbance and human intervention, this approach has the goal to support improved habitat design and enhanced animal welfare.
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BRIDGITISE
BRIDGITISE (call HORIZON-MSCA-2022-DN-01) is the first Industrial Doctorate within the EU dedicated to advancing cost-effective and sustainable Bridge Integrity Management (BrIM) through the integration of digital technologies. external page Link to the project.
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FPGA Sensor Interface
(part of Armasuisse project)
The project is about developing an open-source sensor interface on the FPGA that is able to aggregate sensor data (event sensors in particular) and send it to a compute unit (e.g. Jetson). The interface should feature latencies in the ms range and data throughput above 10Gbit/s.
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Smart glasses
Developing an open-source smart glasses platform that enables real-time AI processing directly on device for privacy-preserving, always-on interaction. The system integrates event-based and RGB cameras with a RISC-V processor to run hand gesture recognition and other ML workloads while achieving all-day battery life in a lightweight eyewear form factor. This modular hardware platform supports rapid prototyping of novel sensing modalities and embedded intelligence for next-generation wearable computing.
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