Outsight, the pioneer of 3D Spatial Intelligence solutions, has announced the launch of a game-changing product: the Augmented LiDAR Box (ALB). It’s the first real-time LiDAR Software Engine that allows application developers and integrators to seamlessly use LiDAR data from any hardware supplier. Created as a turnkey solution, the ALB enables leveraging 3D Spatial Intelligence’s unique value while avoiding the complexity of processing 3D data in real-time.
This new product offering follows thorough early customers’ validation processes across several different markets (Robotics, Automotive, ITS, Security & Surveillance), geographies (USA, Europe, Asia) and user profiles (Market-leading corporates, Start-ups and Universities) as well as strategic partnership agreements and collaborations with the most prominent LiDAR suppliers in the USA and Asia, including Velodyne, Ouster, Hesai, and Robosense.
The Augmented LiDAR Box is the first LiDAR pre-processor: a real-time software engine that turns any LiDAR into a Spatial Intelligence device. It overcomes the complexity of using RAW 3D data, so any application developer or integrator can efficiently use LiDAR in its own solutions without needing to become a 3D LiDAR expert.
In order to provide a seamless integration experience, the Augmented LiDAR software engine is delivered embedded in a convenient LiDAR-Agnostic Plug & Play Edge computing Device: the Augmented LiDAR Box (ALB).
The ALB provides a comprehensive set of fundamental features that are commonly required in almost every application (e.g., Localization& Mapping, 3D SLAM, Object ID & Tracking, Segmentation & Classification, among others).
Because it only requires an ARM CPU and its AI doesn’t rely on Machine Learning, the solution is power-efficient and doesn’t need any Training or Annotation efforts.
According to Raul Bravo, President and co-founder of Outsight: “The hardware aspect of LiDAR is becoming a commodity with prices decreasing very quickly together with impressive performance improvements. However, this new animal in the Computer Vision landscape remains a complex technology for most customers to use. As it happened every time in modern-day History of technology adoption, we’re convinced that the key condition required for LiDAR to become mainstream is the emergence of enabling software.”
