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Bengaluru AI startup delivers 90 percent compression, transforming raw footage into searchable operational intelligence.
BLUE, an Artificial Intelligence startup, launched new Video Data Technologies and services with advanced capabilities for Organizations to store/search/retrieve/ and use the information from their CCTV footage in ways never before possible. Specifically, BLU's Proprietary AI technology reduces the size of video footage between 30 – 90%, based upon the use case, through Machine Learning algorithms, that identifies events and behavior and stores that data as structured data in the Video Data Lake or Semantic Video Data Lake respectively.
Organizations can search on the video footage without the time required for manually scanning through all of the video footage recorded. Besides providing operational benefits, the technology also provides significant economic advantages. The ability to significantly decrease both the cost of bandwidth and the cost of storage for video, while at the same time providing instant access to search and take action on video, enables businesses to more effectively leverage their technology investments for video management. The savings in compressed storage alone represent tremendous savings for businesses that manage a large number of cameras.
BLUE was co-founded by Kunal Kislay, a graduate of IIT Bombay and a technology executive with over 20 years of experience developing advanced technologies. The company is a bootstrapped startup and currently has 43 employees.
The Semantic Video Data Lake solves a significant problem faced by many industries that rely on video surveillance (e.g. manufacturing, retail, logistics, and security). By converting CCTV footage from passive storage to an intelligent source of information, BLUE's solution enables companies to create real value from their video surveillance technology investments while also lowering costs of operations and improving the speed of decision-making.
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