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Leopard Imaging launched its Hawk 3D depth digital camera for $349. The digital camera, which helps NVIDIA’s Jetson edge AI and Isaac robotics platforms, is designed to ship real-time, correct depth notion. The Hawk digital camera affords a horizontal subject of view of 120 levels, and integrates twin onsemi AR0234CS RGB picture sensors with an active-pixel array of 1,920 by 1,200 pixels to assist full HD video as much as 120 frames per second.
Leopard Imaging mentioned the twin RGB international shutter sensors cut back visible artifacts for improved notion efficiency in any high-vibration environments {that a} robotic could encounter. That is coupled with a six-axis IMU for sub-microsecond time-stamping of the digital camera frames relative to the IMU.
The Hawk digital camera supplies depth notion from 15 cm to five m and has the power to detect 10 cm by 10 cm objects. The digital camera works with NVIDIA’s Imaginative and prescient Programming Interface (VPI) algorithms and integrates to the Isaac platform to make sure efficiency on the Jetson AGX Xavier and Jetson Xavier NX system on modules (SOM). Out of the field, the digital camera is supported by the Isaac ROS GEMs, enabling builders to combine it of their merchandise.
The NVIDIA Jetson platform consists of pretrained AI fashions, developer SDKs and assist for cloud-tative applied sciences throughout the total Jetson lineup, giving producers of clever machines and AI builders the chance to construct and deploy high-quality, software program outlined options on embedded and edge units that focus on robotics, amongst different functions.
“By leveraging our full stack of GPU-accelerated computing applied sciences and enabling ease of deployment of cost-effective 3D digital camera options, Leopard Imaging is accelerating time-to-market of vision-based edge AI and robotics functions,” mentioned Murali Gopalakrishna, head of product administration, autonomous machines and common supervisor for robotics at NVIDIA.
The NVIDIA Isaac platform consists of complete instruments, software frameworks, GPU-enabled algorithms, reference designs, and pretrained capabilities to speed up improvement workflows for robotics functions. This consists of Isaac Sim on NVIDIA Omniverse for simulation and coaching of robots in digital environments earlier than deploying them in the actual world; and Isaac ROS open software program improvement framework that hurries up robotics improvement and deployment. A collection of Isaac GEMs for ROS – pre-optimized software program packages to speed up picture processing and DNN efficiency on NVIDIA Jetson – make it simpler so as to add AI for notion and navigation into modern-day robots.
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