Data acquisition from various images is a complex process and requires an automated solution to identify the key objects.
Analyzing Light Detection and Ranging (LiDAR) images is time-consuming as individual objects in each image need to be manually identified and segmented.
A cost-effective alternative to the manual process would be Straive’s Visual Intelligence Solution.
Our visual intelligence solution transforms visual data into actionable insights by leveraging computer vision-based machine learning models powered by our Straive Data Platform to
- Automate asset identification
- Build an asset extraction engine
- Extract other assets types and enrich existing datasets
Download our case study to learn how we enabled a leading US-based provider of technology solutions for the transportation industry to overcome the challenges of manual asset identification from LiDAR data and images.