Leopard Imaging ToF Cameras

Time-of-Flight (ToF) Cameras

Redefining time-of-flight camera technology with NVIDIA and Microsoft Azure

The basic working principle behind a ToF camera is the time light takes to bounce off an object. The time taken is then processed and the distance between all objects in a scene is determined. Leopard Imaging’s ToF cameras use this data for three-dimensional object mapping, effectively recreating a scene and calculating different parameters such as depth, distance, etc.

Often referred to as ‘depth cameras’, our robust ToF camera systems offer the best-in-class performance while consuming less computing power. This enables power-efficient ToF camera systems to be deployed on a mass scale.
A proud member of the NVIDIA Partner Network, Leopard Imaging focuses on developing ToF cameras for imaging solutions that are compatible with the NVIDIA Jetson AGX Xavier platform. We offer hardware and software development as well as fine-tuning services for both developers and customers.

Developed in exclusive collaboration with NVIDIA, our ToF camera systems are also listed in Jetson AGX Orin. This productive collaboration allows us to empower several industries such as IoT, automotive visual applications, robotics, deep learning, visualization, and edge IT.

Time of Flight Technology Overview

A ToF camera measures how long it takes for light to bounce off an object. Using this principle, the camera calculates the distance to all objects in a scene. This point cloud data is used to compute and create a three-dimensional (3D) map of the object space. Thus, ToF cameras are also referred to as “depth cameras.” Unlike stereo 3D methods, no image contrast is necessary, and ToF systems exhibit excellent mechanical robustness.