Robotics vision projects
Robotics vision brings installation space, motion and image input into the same system design. Define the information to capture and where it will be processed before choosing camera count, interfaces and synchronization.
Start with motion and coverage
Identify whether each camera sits on the chassis, an arm or another moving part. Describe viewing directions and possible occlusions. For mobile equipment, include typical scenes, turning or vibration conditions and changes in lighting.
Project checklist
- Compute platform：Compute module, carrier board, operating system, software release, available interfaces and camera count.
- Image input：Resolution, frame rate, pixel format, mono or stereo configuration, and whether raw images are required.
- Timing：Synchronization between cameras and with other sensors, timestamp definitions and measurement methods.
- Mechanics and cabling：Available space, mounting, moving joints, cable bends and service access.
- Software responsibilities：Owners of the driver, capture application, image processing and robot application integration and tests.
Preparing an NVIDIA platform brief
Include the compute module, carrier board, JetPack and Jetson Linux versions, and the current camera integration status. For an existing issue, attach reproduction steps, original logs and a connection diagram. Support for the specific configuration is confirmed per project.
Test the prototype in motion
After checking static images, test under motion representative of the equipment. Record image continuity, exposure settings, timing and processing results. Separate capture issues from processing issues when planning the next validation round.