Jetson AGX Orin+GMSL+AI Vision Development Kit, Supporting Applications such as Autonomous Driving, Robotics, and Industrial Vision

The new Jetson AGX Orin Vision Development Kit features a triple upgrade in hardware architecture, synchronization capabilities, and driver framework, significantly enhancing the development efficiency and performance of vision perception modules for edge AI devices:

| Hardware Architecture Upgrade – Simple and User-Friendly

The kit adopts a unique carrier board and sub-board architecture, supporting up to 8 channels of GMSL1/2 camera input with the capability to expand to 16 channels. The sub-board can flexibly adapt to various types of deserializer chips, such as MAX9296, 96712, 96724, etc., and can be extended to support protocols like FPD-LINK/V-by-One.

The kit features a side-exit cable design, precisely compatible with the Jetson AGX Orin Developer Kit. This design significantly enhances the convenience of kit assembly and ensures neat and orderly wiring, all while preserving the native heat dissipation performance.

For high-power usage scenarios, the cooling solution has been specially optimized, incorporating an efficient cooling fan to effectively reduce the kit's temperature and ensure stable long-term operation.

Furthermore, the kit boasts excellent power delivery capabilities, with a maximum power supply of up to 96W, providing robust power for high-consumption devices and fully meeting the stable operation requirements of the equipment.

| Synchronization Mechanism Upgrade – Microsecond-Level Precision

The kit supports multi-channel camera synchronous triggering and external input synchronization signals, achieving microsecond (1e-6) level synchronization precision. It also supports internal Orin synchronization signal triggering.

When paired with the self-developed GPS-time triggered synchronization box, it enables microsecond-level external synchronization signal triggering, ensuring high-precision visual perception and data processing, and fully meeting application requirements in fields such as autonomous driving, robotics, and smart manufacturing.