Ottometric was working with a leading European Automotive tier 1 supplier on their homologation process for Intelligent Speed Assist (ISA). The tier 1 faced significant challenges, including high manual effort, long processing times, and limited sensor performance insights. By integrating Ottometric’s advanced automated validation tool chain, the customer achieved a 26% reduction in process costs, a 50%+ reduction in cycle time, and a 174% increase in annual gross profit potential. This case study highlights how Ottometric’s solution transforms homologation workflows, delivering faster, more accurate, and cost-effective validation.
Challenge
Homologation of ISA systems requires rigorous validation to meet regulatory and safety standards. The customer’s existing validation workflow relied heavily on manual annotation, requiring more than 115 man-days of effort for each country analyzed. Processing a single country often took between two and three weeks, creating substantial delays in project timelines. Their teams also struggled with limited visibility into false negatives and lacked deeper insight into actual sensor performance, which made it difficult to evaluate system reliability. With millions of frames to analyze, the annotation process itself was highly complex and time-consuming, taking more than 20 seconds per frame just to capture the required attributes.
These factors led to high costs, slow time-to-market, and constrained scalability.
Approach
Ottometric introduced an automated homologation tool chain that integrates seamlessly with the customer’s existing processes. Key features include:
- Automated KPI creation with built-in quality assurance.
- False negative detection capabilities.
- Natural Language Query (NLQ) interface for intuitive data exploration.
- Full visualization of sensor and system outputs.
- Automated weekly reporting and ground truth generation.
This automation drastically reduces manual effort and accelerates validation cycles.
Results
The improvements delivered a significant boost in operational efficiency across the homologation process. Cycle time for each homologation was reduced from 14 days to just 6, enabling the organization to more than double its annual throughput-from 3.7 cycles per year to 8.7. Alongside these gains, the workflow achieved broader coverage of vehicle colors and vulnerable road users, strengthening the completeness of evaluations.
The teams also benefited from statistical validation methods that incorporated false positive, true positive, and false negative metrics, providing a more reliable and data-driven understanding of system performance.
