The observation of animals in their native habitats offers the opportunity to collect unique information on the abilities with which they accomplish ecologically relevant tasks. However, this kind of study poses challenges related to species abundance, time requirements, and the absence of typical laboratory resources like lighting and power. To meet these challenges, field biologists have turned to camera traps that can remotely record animal behavior and remain battery-powered for long periods of time. Despite their increased use, many researchers indicate that camera traps lack in their effectiveness as precision research tools. This is especially true of research endeavors that have specific data requirements, such as highspeed video, as well as endeavors focused on species other than the large mammals for which commercial camera traps were designed. In this ongoing study, we performed an in-depth review of previous developer’s attempts to expand the capabilities of the conventional camera trap platform. Having identified obstacles presented by previous attempts and by using collected user information to develop design specifications, we propose a fundamentally new, open-source camera trap platform that offers unprecedented modularity and programmability. By giving the users the ability to easily swap between different sensors, lights, and cameras, the new camera trap platform can become a precision tool for every study. Additionally, with the input of several sensors and the capability to perform edge-processing, like pixel-change detection, research capabilities can be expanded even further. We look forward to discussing this project with members of the SICB community to learn about their specific needs as well as to collaborate with potential beta testers!