ReallaeR has recently expanded into the domain of multi-sensor data collection, where we create semi-automated collection suites consisting of video, audio, thermal, laser vibrometry and other related sensors. Theautomated collection suites became the cornerstone of several projects looking to capture many data paths across several experimental phases. Our research in automated data collection has led to other project applications.
ReallaeR supports several lines of research in integrating computer vision technology, ranging from facial and body tracking to object identification.
ReallaeR has created a suite of systematic coding tools for videos. Ingesting full videos, our coding tools allow users to apply a system of codes to each respective frame of video. The tools can also allow users to apply rule sets to their coding paradigm, allowing tailored enforcement to any specific coding standard. We have also expanded our tools to include client-server paradigms, allowing users to distribute coding projects as "assignments" to other coders, effectively allowing complete management of such projects. Our recent specialization of video coding has been applied to facial coding standards, across multiple data coding sites, and layers of management roles.