Our Work

A web app for hosting and analyzing large 3D point cloud data derived from aerial remote sensing (drones, helicopters, airplanes). Historically, desktop software is computationally heavy and costly, creating scalability and productivity issues. In addition to viewing and hosting data, the web app provided a suite of tools for data processing. These tools included: 3D point classification, vectorization, feature extraction, and vegetation analysis.

A React Native mobile app for farmers to track and manage their irrigation systems. Farmers can manage fields, add irritation routes, create schedules, and view analytics. The app is 'online first' and syncs with a cloud database for real-time monitoring and updating.

A bin picking solution for robotic applications. The system used 3D object identification, classification, and pose estimation over short indoor distances. The system used a passive stereovision sensor coupled with a 3D model library.

A navigation solution for visually impaired people. The solution used small depth cameras to create a 3D map of the environment via SLAM (simulteaneous localization and mapping). The SLAM derived localizations were used to guide a person and avoid obstacles.

A self-checkout kiosk using Ai / machine learning with a conventional RGB camera. The system was trained to detect 30 different SKU's using a DNN (deep neural network).