AI-generated image of a depth sensor
A low-cost, durable depth-sensing module capable of providing approximate depth readings for underwater instruments submerged up to 2000 meters. Deliverables will include a fully functional prototype, field-tested for real-world integration.
in Partial Fulfillment of the Requirements for the Degree of Master of Engineering, Electrical and Computer Engineering at Cornell University
This project addresses the challenge of developing a cost-effective depth sensor for intermediate to deep depths (up to 2000 meters). Existing solutions are either prohibitively expensive or unsuitable for these depths. In collaboration with Dr. V. Hunter Adams (Cornell ECE) and Jonathan Pfeifer (WHOI), this effort focuses on creating a robust, affordable sensor module designed for integration with underwater exploration vessels. The sensor balances practical accuracy with resilience to high-pressure underwater environments, supporting WHOI’s marine research with an innovative and accessible solution.
Parameter | Specification |
---|---|
Depth | 2,000 m |
Pressure | 200 atm |
Power Input | 5-24V @ ≤ 100mA |
Data Protocol | RS-232 |
Physical Size | Soda can - Nalgene bottle sized |
Connector Type | MacArtney SubConn |
Accuracy | ±10 m |
Mounting | Hose clamps, bolts, etc. |
This project spans two semesters: FA 2024 - SP 2025 with the following timeline:
- ✅ Sep-Nov: Conduct research and finalize physical sensing mechanism
- ✅ Nov: Order components
- ⬜ Dec: Design circuit PCB (in progress)
- ⬜ Dec: Initial testing with ordered components (in progress)
- ⬜ Jan-Feb: Design algorithm to translate physical system into depth readings
- ⬜ Jan-Feb: Assemble prototype & test at Helen Newman Pool
- ⬜ Feb: Complete interface design and implement energy-efficient adjustments
- ⬜ Feb-Mar: Integrate final hardware and software, prepare for field testing
- ⬜ Mar-Apr: Perform field testing with WHOI; collect data and refine design
- ⬜ May: Finalize module, complete documentation, and hand over the prototype to WHOI