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Vision pack – Leo Pack

Complete vision and AI computing integration kit for Leo Rover: NVIDIA Jetson Orin Nano + ZED 2i stereo camera, ready for ROS 2, SLAM, and edge AI inference.

 1 950

The Vision Pack gives you a depth-aware, AI-accelerated perception layer on Leo Rover without designing a single custom mount or sourcing a carrier board. Pull a prebuilt Docker image, run one ros2 launch command, and your ZED 2i data is live on ROS 2 topics — point clouds, RGB, depth, IMU, and TF frames included.

Why engineers choose this

  • No custom wiring or power supply — Jetson Orin Nano draws power directly from Leo Rover's battery via an included barrel jack cable; no bench supply or voltage converter needed.
  • All mechanical hardware included — pre-designed mounts, 3D-printed brackets, housing, and all fasteners ship in the box; no custom CAD or sourcing required.
  • Docker-first ROS 2 stack — the prebuilt image eliminates driver compilation; docker pull, configure, launch.
  • URDF-ready — the ZED 2i URDF macro integrates directly into Leo Rover's TF tree so nav stacks and SLAM pipelines see the camera frame immediately.
  • Transparent Ethernet bridge — Jetson is bridged into the rover's AP network via USB-to-Ethernet; ROS 2 topics from the Jetson are visible to any host on the rover network with no extra routing.

What's in the box

  • 1 x NVIDIA Jetson Orin Nano
  • 1 x Stereolabs ZED 2i stereo camera (non-polarized lenses)
  • 1 x USB-to-Ethernet adapter
  • 1 x Modified MEB power cable with barrel jack connector
  • 1 x Ethernet patch cable
  • 1 x USB-C cable
  • 1 x Vision Pack 3D printed housing

Note: Three Allen keys (2.5 mm, 3 mm, 4 mm) are required for mechanical installation — not included.

Specs

  • Parameter Value
  • AI compute NVIDIA Jetson Orin Nano
  • GPU Ampere — 1024 CUDA cores, 32 Tensor Cores
  • AI performance Up to 40 TOPS
  • Jetson power draw 7–15 W (configurable; MAXN SUPER mode recommended)
  • Required JetPack 6.2.1 (L4T ≥ 36.4.0)
  • Stereo camera Stereolabs ZED 2i (non-polarized)
  • RGB resolution Up to 2K
  • Depth range Up to 20 m
  • Horizontal FoV 110°
  • Integrated sensors IMU, barometer, magnetometer
  • Camera interface USB 3.0 (camera → Jetson)
  • Data interface (to rover) USB-C → USB-to-Ethernet → Ethernet bridge on rover
  • Power interface Barrel jack from Leo Rover battery

Applications

  • Visual SLAM and 3D mapping
  • Obstacle detection and navigation
  • Scene understanding with AI models
  • Real-time perception pipelines on mobile platforms

Resources