
Challenges
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.

Approach
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

Impact
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.
About Us
At Straive, we operationalize data analytics and AI for global enterprises. We leverage our unique people-process-tech framework to build the best-of-breed data analytics & AI solutions. By operationalizing this solution into your core workflow, we deliver real-world measurable impact and better ROIs through a combination of higher efficiency, elevated experiences, and enhanced revenues.
For more information about our services and how we can help you operationalize data analytics and AI, please visit our website: www.straive.com contact us at contact@straive.com.

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