Launch of the video bridge for NVIDIA Jetson Thor has begun.
A next-generation, fully-fledged AI video solution for NVIDIA Jetson Thor provided by Leopard Imaging.
Leave the video solutions for NVIDIA Jetson Thor to us.
Jetson Thor is specifically designed for physical AI and robotics applications that require complete visual recognition, contextual awareness, and low-latency decision-making, ranging from visual inspectors utilizing generative AI to multi-agent autonomous workflows. Leopard Imaging offers a comprehensive portfolio of vision solutions, including plug-and-play camera modules, adapter boards, software drivers, and synchronization accessories. The lineup of Thor-compatible vision systems from Leopard Imaging includes: 1. Monocular, stereo, and ToF cameras supporting resolutions up to 25MP 2. Ultra-low latency MIPI, 10GigE, and STP interfaces 3. Vision solutions powered by the NVIDIA Holoscan Sensor Bridge for real-time sensor data streaming - Monocular camera: LI-IMX715-MIPI-HOLOSCAN-082H3D - 3D perception camera: LI-IPX-KW33000-MIPI-TOF, LI-HAWK-HOLOSCAN
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basic information
The NVIDIA Jetson driver software stack includes the Holoscan SDK, which enables advanced high-precision multi-camera sensor processing. "Jetson Thor opens new frontiers for physical AI, and we are pleased to offer the most comprehensive vision system solution to support it." Leopard Imaging's solutions are already deployed in use cases such as: - Humanoid robotics - ultra-low latency, high-resolution imaging for real-time perception and navigation - Autonomous mobile robots - multi-sensor visual vision for navigation, inspection, and operation - AI agents - generative AI-driven analytics for safety, surveillance, and asset tracking By using Jetson Thor and Leopard Imaging's vision solution suite, developers have the tools to deliver powerful, context-aware AI at the edge.
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Leopard Imaging, a global leader in vision solutions, today announced a comprehensive vision solution specifically designed for the new NVIDIA Jetson Thor platform. This offering enables high-performance, real-time physical AI applications in areas such as robotics, medical devices, smart cities, and industrial automation. Jetson Thor is NVIDIA's most advanced edge AI platform to date, featuring a 2070 FP4 TFLOP NVIDIA Blackwell GPU, a 14-core Neoverse ARM CPU, and up to 128 GB LPDDR5X memory, designed to handle extremely demanding workloads such as vision transformer inference, multi-agent robotics, and generative AI at the edge. Compared to the NVIDIA Jetson AGX Orin, Jetson Thor offers: - Up to 7.5 times AI performance - Up to 3.5 times energy efficiency - Twice the encoder/decoder processing capability for video streaming.
Line up（3）
| Model number | overview |
|---|---|
| LI-IMX715-MIPI-HOLOSCAN-082H3D | Nvidia Holoscan platform based on camera kit Sony Diagonal 6.4 mm CMOS Image Sensor IMX715 Supports M12 x P0.5 lens Nvidia Holoscan platform is NOT included |
| LI-IPX-KW33000-MIPI-TOF | Compatible with NVIDIA Jetson AGX Orin Developer Kit and USB30 Kit ⚫ Adapter board: LI-IPEX-FPC24-ADP ⚫ Sensor: Nuvoton VGA-Pixel TOF and IR Image Sensor KW33000A1K |
| LI-HAWK-HOLOSCAN | Nvidia Holoscan platform based on camera kit ⚫ Sensor: ON Semiconductor CMOS Image Sensor AR0234CS ⚫ Active pixels: 1920 (H) x 1200 (V) |
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Company information
Ai Sensing LLC serves as the Japanese agent for Leopard Imaging, a U.S. company specializing in advanced imaging technology. We ensure the reliable and prompt delivery of the company's high-performance camera modules and video solutions to customers in Japan. Our greatest strength lies in having experienced engineers in-house, despite being a trading company. This allows us to establish a system that can consistently respond to everything from product selection to post-implementation technical support, flexibly addressing our customers' advanced needs.
![[Case Study] Visualizing over 1,500 pieces of machinery and equipment with wireless LAN](https://image.mono.ipros.com/public/product/image/de0/2000735393/IPROS31660958773318414996.png?w=280&h=280)
