Wear Progression Assessment with TRATON

The visual inspection of faults and wear in heavy vehicle components is currently a labor-intensive process reliant on the subjective judgment of individual technicians. Although images are often captured via smartphones, they are typically compared manually to past records, a method that is time-consuming and prone to human error. As a result, critical diagnostic “know-how” remains tied to experienced personnel rather than a codified system. The lack of an objective, digitalized process results in higher operational costs, inconsistent maintenance quality, and challenges in meeting the increasing demand for data-driven evidence in insurance and warranty claims. 

Recent advancements in mobile cameras and machine learning make automated wear assessment increasingly feasible, even when working with the small and ‘noisy’ datasets typical of industrial environments. Transitioning to an automated system reduces unplanned downtime and safety risks through earlier fault identification. By replacing intuition with repeatable data, TRATON can standardize inspection quality across all sites and fleets, extend component lifecycles, and provide a critical feedback loop for design and procurement, driving better component performance and more predictable maintenance costs. 

We seek an AI-powered image recognition solution to quantify component wear on a 0–7 scale by autonomously unwrapping inner bearing or bushing surfaces into flat maps, segmenting functional zones, and classifying wear severity. Additionally, the solution should enrich captured images with metadata, such as engine type, component, and oil condition, with minimal manual intervention. While the initial phase focuses on training ML models and refining the classification algorithm, the intended next step includes native mobile app development featuring an augmented image viewer and a web-based decision dashboard. We therefore seek a partner with proven mobile competence. Once deployed, the solution will empower product development and global workshop teams with rapid diagnostics and value assessment while providing a standardized tool for documentation and root cause analysis. 

Partnering with TRATON Group enables validation of AI-based solutions within an OEM-scale organization and a global vehicle service network. A selected pilot partner receives financial and technical support to validatetheir solution in real-world industrial environments while working directly alongside TRATON experts and decision-makers. In the longer term, we seek to drive innovation by co-developing solution modules, potentially expanding to other component types, and sharing in the commercial growth. This is an opportunity to prove your technology with a leader in sustainable transport, establish a trusted partnership, and create lasting industry impact.