Target applications include navigation, robotics vision, barcode scanning, gesture recognition, 3D scanning, positional tracking, AR/VR, and biometrics, among other synchronized multi-camera perception use cases.

The GMSL2 carrier boards are designed to facilitate easier deployment and scalable integration with NVIDIA Orin via the open-source SDK.

The press release provides background on Leopard Imaging and lists media contact information for inquiries.

All GMSL2 carrier board platforms support NVIDIA’s open-source SDK to deploy and scale multi-camera AI applications on NVIDIA Orin platforms.

NVIDIA open-source SDK support enables developers to deploy, customize, and scale multi-camera AI applications on Orin-powered systems.

A complete GMSL2 ecosystem includes the LI-ONX-CB-GMSL2-8CAM and LI-AGO-CB-GMSL2 carrier boards for Orin NX/Nano and AGX Orin respectively, with diverse interfaces and wireless expansion.

The scalable architecture features carrier boards for different Orin SOMs and offers multiple interfaces plus wireless options to enable versatile edge AI deployments.

Additional emphasis on synchronized multi-camera needs highlights these use cases across various industries.

Leopard Imaging unveils the LI-AR0234CSC-GMSL2-120H, an eight-channel, 2-megapixel global shutter GMSL2 vision system designed for synchronized multi-camera AI vision on NVIDIA Orin platforms.

The LI-ONO-BOX-GM2C-8CAM-4GB delivers a compact, thermally optimized eight-camera solution for integrated deployments.

The system outputs 1920×1200 RAW images at up to 6 Gbps GMSL2, supports multi-camera synchronization and triggering, and can handle eight cameras simultaneously on Orin.

Carrier boards LI-ONX-CB-GMSL2-8CAM and LI-AGO-CB-GMSL2 support NVIDIA Orin NX/NVIDIA AGX Orin SOMs, providing multiple interfaces (Gigabit Ethernet, HDMI, USB 3.0) and wireless options (GNSS, 5G, Wi-Fi, Bluetooth) for edge AI integration.