Case study

Challenges

The customer needed a ruggedized, secure platform that could manage edge AI applications onboard its fleet of maintenance vehicles. These applications were to handle automatic video processing for defect detection, compliance checking, and GDPR-compliant anonymization. Time-to-market, lifecycle security, and performance were critical factors in a constrained operational budget.

Solution

Results

The result was real-time detection of potholes, structural wear, and signage issues—leading to faster repair cycles, reduced operational costs, and improved safety. Edge anonymization ensured GDPR compliance at the source.
Time-to-market was dramatically reduced through pre-integrated hardware/software stacks and short PoC-to-deployment cycles.