Case Study: Miovision builds smarter traffic analytics with V7 Labs

Miovision cuts traffic data labeling costs with V7 Labs at 24/7 scale

Miovision, a company that builds computer vision-powered transportation solutions, faced challenges in urban environments like traffic congestion and inefficient traffic management. They needed an advanced platform to annotate a wider range of data and build robust workflows more efficiently than their costly internal solution, leading them to the vendor V7 Labs.

Using V7 Darwin, Miovision automated their data annotation process, leveraging features like Auto-Annotation and custom workflows. This allowed them to label data more efficiently and at a fraction of the previous cost, enabling them to deploy AI solutions faster and handle new types of data. The results provided by V7 Labs helped Miovision better optimize traffic management and build safer urban infrastructure.

Miovision