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Raspberry Pi 5

2

2 career items use Raspberry Pi 5.

Jan 2025 - May 2026 Undergraduate Researcher McComish Dept of Electrical Engineering and Computer Science, SDSU AI/ML
  • Awarded $5,000 Future Innovators grant to develop AMBER: Python-based real-time hazard detection system with edge computing
  • Researching sensor fusion and ML-based risk assessment models using Python, OpenCV for hardware prototyping and testing
  • Investigating low-latency risk detection integrating Raspberry Pi 5 edge devices with multimodal sensor fusion
PythonOpenCVSensor FusionEdge ComputingRaspberry Pi 5Teensy 4.1Machine LearningReal-Time Systems
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May 2025 - Aug 2025 Trekeye Rear Hazard Detection Prototype AI/ML
  • Engineered helmet-mounted hazard detection system with YOLOv8, BoT-SORT/ByteTrack and TTC-based alerts
  • Established cross-platform baselines: 18 FPS desktop, 1.8 FPS Raspberry Pi under 2GB RAM; documented negative results
  • Delivered reproducible Python framework with YAML configs, CSV/MP4 logging and optical flow for unclassified hazards
PythonYOLOv8Raspberry Pi 5BoT-SORTByteTrackComputer VisionObject TrackingTTCOptical FlowPerformance OptimizationYAML
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