LabVIEW Jobs

I have continuous video footage from live inspection of steel flat bars strips our production line and need a complete deep-learning pipeline that flags surface, structural, and functional defects in real time. The raw videos are already labeled by timestamp; frame-level annotation may still be required for optimal accuracy. Scope • Design and train a deep neural network—CNN, transformer, or hybrid model—that detects all three defect categories directly from video streams. • Implement preprocessing (frame extraction, augmentation, ROI isolation) and post-processing (tracking, alert generation) in Python using libraries such as PyTorch/TensorFlow and OpenCV. • Optimise for inference on an on-premise GPU; latency under 200 ms per frame is the target. &bull...

I have an automated test environment built around NI-PXI, cDAQ, and cRIO hardware. The next milestone is to tighten up our GPIB layer in LabVIEW and be able to call it cleanly from TestStand sequences. Here is what I need from you: • Configuration – create or refine VISA-based VIs that recognise multiple GPIB instruments on power-up, apply the correct addresses, and expose error handling hooks for TestStand. • Data transfer – build reusable producer/consumer VIs that move data packets reliably at the required throughput, log them locally, and hand structured results back to TestStand for report generation. • Troubleshooting – diagnose intermittent bus errors, timing issues, and any driver conflicts on the host PC; document root cause and corrective ac...