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Teensy 4.1

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1 career item uses Teensy 4.1.

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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