Vehicle Suspension Setup Using Image-Based Sag Measurement

The patent replaces manual mechanical measurement methods with an automated image processing system. A camera captures images of the suspension component, and computer vision algorithms automatically measure the sag distance by detecting the position of the o-ring indicator relative to reference marks. This substitution of mechanical measurement with optical-digital measurement significantly improves measurement precision while the modular software architecture keeps the added complexity manageable.

The patent uses a camera to create a digital copy (image) of the physical suspension component and its indicator marks. This optical copy is then processed through image analysis algorithms to detect the o-ring position. By working with digital copies rather than direct physical measurement, the system achieves high precision while isolating the complexity into software processing rather than complex mechanical measurement devices.

The patent performs suspension setup procedures in advance, capturing images and calculating optimal sag settings before the vehicle is put into service. The system determines the correct o-ring position and provides adjustment recommendations proactively, so that when the vehicle is ready for use, the suspension is already properly configured. This preliminary action ensures reliability of the riding experience while the automated nature of the process minimizes the actual time required.

The patent applies image processing only to the specific region of interest - the suspension component with the o-ring indicator - rather than processing entire images or performing exhaustive analysis. The system crops and focuses computational resources on detecting the critical marks and measuring the sag distance, achieving high measurement precision while minimizing energy consumption by avoiding unnecessary processing of unrelated data.