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Edge Computing

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2 career items use Edge Computing.

Jan 2025 - now AMBER Affordable Multimodal Sensor-Based Environmental Risk Detector AI/ML
  • Engineered a wearable industrial helmet, with 6 multimodal sensors & edge computing to detect environmental hazards
  • Developed a custom data pipeline and TLV-based sensor communication protocol in python, optimizing sensor fusion
  • Soldered and wired electronic components, ensuring durable sensor connectivity and efficient signal processing
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