Wire harnesses,
rewired by AI.
The average electric vehicle contains over 3,000 meters of wiring. We analyze how computer vision reduces false-reject rates by 40% and generative design cuts routing iterations from weeks to hours.
Confidence: 99.8%
Terminal: OK
The shift from heuristic to predictive
For decades, harness manufacturing relied on static continuity testing and manual visual inspection. The insertion of machine learning models changes the baseline metrics.
Computer Vision in Crimp Inspection
Why traditional Automated Optical Inspection (AOI) fails on stranded wire flare, and how CNNs solve it.
Generative Routing Topologies
Using algorithms to minimize weight and EMI interference simultaneously in aerospace applications.
Digital Twin Manufacturing
Simulating thermal stress and vibration on the formboard before cutting a single wire.
Engineering Tools
Stop guessing. We've built interactive calculators based on IPC/WHMA-A-620 standards, updated for modern AI-assisted manufacturing constraints.
-
Crimp Force & Pull Test Calculator
Calculate theoretical pull-off force based on AWG, terminal type, and standard AI monitor tolerances.
-
Machine Vision ROI Estimator
Model the financial payback period of retrofitting legacy crimp presses with AI anomaly detection.
-
DC Voltage Drop Analyzer
Standard calculator for EV low-voltage architecture planning.