Background
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Strengthening real-time video analytics reliability

Client: Global visual data infrastructure company | Solution: Stabilized video pipelines for real-time insights

Video analytics required consistent real-time performance

The client’s analytics platform managed massive video streams from enterprise surveillance and monitoring systems. But frequent frame drops, decoding errors, and timestamp mismatches disrupted event accuracy and delayed alerts. 

Solution   

Calsoft partnered with the client to stabilize and synchronize their end-to-end video processing pipeline. 

  • Unified ingestion from varied video sources 
  • Improved decoder fallback and error handling 
  • Synced timestamps for accurate event mapping 
  • Automated deployment and validation across sites 

This ensured real-time detection with reliable, frame-level precision. 

Business Value

Background
Faster stream processing
Faster stream processing
Improved frame capture and continuity
Accurate event correlation
Accurate event correlation
Consistent timestamp mapping across stages
Operational stability
Operational stability
Reduced errors through automated validation
Real-time decisioning
Real-time decisioning
Enabled instant detection for critical events
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Strengthening Real-Time Video Analytics Reliability | Calsoft Inc.