Roux
Add 3D vision to your app with ease. The Roux SDK provides a robust, stable, simple API for developers to interact with a multitude of depth-sensors. You don’t need to be a computer vision expert to use Roux. We do the heavy lifting so you can focus on creating a program that uses 3D data in innovative ways. Natively fix flying pixels, auto-patch over exposed meshes - from scanning to SLAM, Roux makes it all possible. Roux does more than just create beautiful 3D scans. Our proprietary technology includes the features other teams would need to build from scratch. Live, on-device, collaborative tracking, scanning, meshing, and SLAM. Scandy’s existing 3D software allows your team to hit the ground running on iOS, MacOS and Linux. Initializing the SDK is easy – drop the framework into your project and you are ready to go. We’ve done the heavy lifting on the computer vision side to make your development lighter.
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Output
Output Sports is a unified human performance platform that simplifies and accelerates athlete testing, monitoring, analysis, reporting, and programming with one software and portable sensor, eliminating the need for multiple tools or manual spreadsheets. It captures over 300 measurements across core performance domains, including velocity-based training, power, jumps, reactive strength index, mobility, strength, endurance, rotational power, balance, contacts, slams/swings/throws, and wellness, so coaches can profile athletes comprehensively and objectively. It offers rapid testing and bulk group management, intuitive dashboards for readiness and recovery with customizable thresholds and ‘traffic light’ indicators, real-time leaderboards to drive training intent, and advanced charting to visualize trends and personal bests. Coaches can assign workouts with prescribed weights, reps, and target velocities.
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Helm.ai
We license AI software throughout the L2-L4 autonomous driving stack, perception, intent modeling, path planning, and vehicle control. Highest accuracy perception and intent prediction, leading to safer autonomous driving systems. Unsupervised learning and mathematical modeling, instead of supervised learning, allow learning from huge datasets. Our technologies are up to several orders of magnitude more capital-efficient, enabling much lower cost of development. Helm.ai full scene vision-based semantic segmentation fused with Lidar SLAM output from Ouster. L2+ autonomous driving with Helm.ai across highways 280 to 92 to 101, lane-keeping + ACC lane changes. Helm.ai pedestrian segmentation, with key-point prediction. Pedestrian segmentation and keypoint detection. Rain lane detection corner cases and Lidar-vision fusion. Full scene semantic segmentation, botts dots, and faded lane markings.
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ROCK Desktop
ROCK Desktop is a comprehensive LiDAR processing and visualization software developed by ROCK Robotic. It enables users to process raw data from ROCK LiDAR systems, offering enhanced trajectory processing and the capability to visualize large datasets both in the field and the office. The software allows users to compose areas, select fields of view and range and includes features like ROCK Ray-Trace Colorization and SLAM/SLAM GCP Alignment. The free version serves as a point cloud visualizer, capable of compressing LiDAR file sizes by up to 10 times, facilitating easier sharing during presentations and seamless synchronization with ROCK Cloud projects. Advanced calibration tools provide users with control over their data, supporting both camera and LiDAR calibration. Integration with ROCK Cloud enables one-click access to cloud processing power, increasing upload speeds and allowing for quick project sharing.
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