As enterprises deploy millions of CCTV cameras, they generate petabytes of video every day. Yet most of this footage is archived solely for regulatory compliance, rarely searched, analyzed, or used to create business value. At the same time, the rapid adoption of AI has significantly increased the cost of storing, transmitting, and processing enterprise video, making it one of the most expensive data workloads.
Bengaluru-based BLUE aims to transform this model with what it describes as the world's first semantic video codec. Unlike conventional codecs that compress pixels, BLUE's technology encodes the meaning of video—capturing objects, events, activities, and contextual information rather than simply reducing file size.
This semantic approach enables AI systems to search, retrieve, and analyze video far more efficiently while dramatically lowering bandwidth, storage, and GPU requirements. Instead of scanning hours of footage frame by frame, enterprises can query video based on events, behaviors, or objects, accelerating investigations and operational decision-making.
The innovation reflects a broader shift from video storage to video intelligence. As organizations increasingly rely on AI for security, manufacturing, retail, transportation, and smart city applications, semantic video infrastructure could redefine how enterprise video is managed. Rather than serving only as evidence after an incident, video becomes structured, searchable intelligence that supports real-time automation, predictive analytics, and business optimization.
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