Case Study: ZF achieves effortless boat docking and smarter ramp selection with SilverLogic's Ramp Assist

ZF powers Ramp Assist with SilverLogic using 10,000+ training images

ZF faced the challenge of enhancing the boating experience with advanced navigation and docking assistance, requiring the processing of massive amounts of data from satellite imagery, webcams, and cellular signals to accurately estimate boat ramp popularity. SilverLogic developed the Ramp Assist mobile app to address this, creating a solution that needed to filter out noise from millions of daily data points across over 20,000 ramps.

SilverLogic implemented a high-performance data processing pipeline and a custom-trained computer vision model using over 10,000 images. This allowed the Ramp Assist app to provide real-time steering guidance for stress-free docking, successfully tracking activity at over 20,000 boat ramps and running stable recognition on a standard smartphone with no additional hardware required.

ZF