Advancing Vehicle Damage
Detection With High Precision
iMerit enabled real-time AI inspection at scale through expert annotation, edge case handling, and adaptive workflows.
Challenge
A leading automatic vehicle inspection provider needed a scalable solution for annotating and verifying vehicle parts and damages across diverse vehicle types. Their goals included:
- Annotating vehicle parts using bounding boxes and polygons—despite a non-fixed taxonomy
- Verifying image inputs in near real-time to detect damages and missing parts
- Handling complex damage classification with consistent quality across global sites
- Meeting aggressive SLAs with high accuracy and speed
A hybrid approach combining automation, human expertise, and evolving annotation guidelines was essential to keep pace with changing requirements and scale.
“iMerit’s focus, quality, adaptability, and ownership have driven meaningful progress in the franchise segment — not just small wins, but real, measurable impact.”
Solution
Expert-Guided Annotation & Taxonomy Development
iMerit’s domain experts co-developed evolving annotation guidelines to ensure consistency across makes, models, and part types, even as the taxonomy evolved.
Real-Time Quality & Edge Case Resolution
Through adaptive QA workflows, iMerit teams tracked edge cases, refined damage evaluation, and ensured consistent labeling across varying vehicle types.
Studio-Quality Bounding Box & Polygon Annotations
Delivered high-quality annotations tailored to complex damage types—enabling robust, real-world model training and inference.
Integrated Operations & Workflow Management
iMerit designed a custom workflow tailored to the client’s high-throughput, real-time needs. This included a dedicated task management system fully integrated with the client’s platform to streamline task allocation and progress tracking. The process enabled multiple team members to work in parallel on different views of a single vehicle, particularly on 360° images. To ensure uninterrupted delivery, iMerit implemented intelligent load balancing to manage daily throughput fluctuations, and coordinated globally distributed teams across over 50 sites—ensuring round-the-clock operations and SLA adherence.
Result
With iMerit’s support, the client achieved significant improvements in both speed and accuracy. The average image review time dropped to under 10 seconds, while detection precision consistently exceeded 95%. The operation now scales to over 40,000 damage detections reviewed daily, across a wide range of vehicles—spanning sedans, SUVs, trucks, electric vehicles, and commercial fleets. The consistent quality and operational scalability have directly contributed to performance improvements in the franchise segment, enabling faster turnaround and more reliable vehicle assessments.
