Case Study: Miovision builds smarter traffic analytics with V7 Darwin

Miovision cuts annotation costs with V7 and accelerates AI workflows

Miovision, a company that builds computer vision-powered transportation solutions, faced the challenge of addressing urban issues like traffic congestion and road safety by providing cities with accurate data. Their internal data labeling solution had high development costs and lacked the flexibility needed to annotate a wider range of data and build robust workflows, leading them to seek an advanced platform like V7 Darwin.

By implementing V7, Miovision automated their data annotation process, using features like Auto-Annotation and custom workflows to handle large-scale datasets more efficiently and at a fraction of the previous cost. The solution provided them with greater visibility into annotation progress and the ability to annotate new types of data. As a result, V7 enabled Miovision to deploy robust AI solutions faster and prepare to build new workflows with data their internal system couldn't previously handle.

Miovision