As video data continues to grow, organizations face the challenge of finding relevant events and insights quickly. Explore this latest #intozi's blog that shows how a #computervisioncompany approaches this shift through #visionaisolutions, with #ikshana discussed as part of the broader move toward video intelligence.
Read the full blog: https://intozi.io/blogs/video-....monitoring-to-video-

Video analysis can provide deeper context by examining relationships between people, objects, and actions. This white paper explores relationship intelligence and its use within a video analytics platform and intelligent video analytics platform, with #intozi and #ikshana as the practical context. For more info: https://intozi.io/white-papers..../relation-aware-vide

Managing large volumes of video events requires scalable processing, reliable architecture, and continuous system availability. In this blog, Intozi’s tech team explains how #ikshana handles 2.5–3M daily events across 700+ cameras, achieving zero downtime, ~0 task scheduling latency, and no new servers or packages. For more info: https://intozi.io/tech-deep-di....ves/how-ikshana-hand

Understanding workforce activity can provide useful insights into workplace routines, movement patterns, and operational behaviour. #industrialworkeranalytics and #workforcebehaviorintelligence support structured analysis of workforce activities. #intozi uses #ikshana for video-based workforce analysis. For more info: https://intozi.io/worker-behavior-analytics/

Large volumes of video data can make manual analysis difficult. This blog from #intozi looks at how AI can identify events, activities, and patterns from video in real time. Examples include #ikshana and its use of video analytics across different applications. Read More: https://intozi.io/blogs/ai-vid....eo-analytics-platfor