Deriving Insights from Images through Visual Intelligence

DOWNLOAD CASE STUDY

Challenge

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.

case-study-deriving-insights-from-images-through-visual-intelligence-challenge
case-study-deriving-insights-from-images-through-visual-intelligence-approach

Straive 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 Generated

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.

DOWNLOAD CASE STUDY

Download Case Study

/*Services image bg link */