Computer Vision Software Development for an Explosive Seed Pod Trap Camera

The purpose of this research is to design a low-cost imaging system for recording the explosive, high velocity behavior of certain seed dispersal events in a natural setting. In particular, the software of this camera features a negative trigger in which a motion-based triggering event (the ejection of seeds) will save as video chips spanning from several seconds before the event to several seconds after the trigger. While easily configurable to take an external trigger, this paper will explore the possibility of using computer vision to serve as the trigger, thereby reducing the need for external sensors. The field-oriented, cost-effective, modular design using a Raspberry Pi will allow for broader applications ranging from wildlife and ecological data acquisition to kinesiological studies requiring spontaneous triggering and lightweight, low cost implementation

Performance characterization of a new, low-cost multi-GNSS instrument for the cryosphere

We developed a multi-frequency, multi-Global Navigation Satellite System (GNSS) positioning instrument optimized for autonomous applications in the cryosphere. At lower power requirements and a fraction of the cost and weight compared to commercially available options, this instrument simplifies field usage and associated logistics. In this paper, we assess several baseline aspects of performance in a polar environment relative to geodetic receivers commonly used for glaciological applications. Evaluations of precision and relative accuracy of positioning show millimeter to centimeter-level (‘geodetic-grade’) quality of this instrument, making it a competitive alternative for GNSS glaciological and geophysical applications such as monitoring surface elevation change and ice flow. An array of these instruments, tested in the field on the Greenland Ice Sheet, also demonstrated robustness throughout the polar winter and met power and reliability requirements