W3bstream Case Studies
Case Study Details
Mission
Elumicate is building a decentralized platform that uses cameras, LIDAR, and other smart devices to capture and verify real-world activities and events. Hardware owners are incentivized with crypto rewards and the captured real-world events are transformed and monetized as digital data for various third parties.
Mission
Elumicate is building a decentralized platform that uses cameras, LIDAR, and other smart devices to capture and verify real-world activities and events. Hardware owners are incentivized with crypto rewards and the captured real-world events are transformed and monetized as digital data for various third parties.
Mission
Elumicate is building a decentralized platform that uses cameras, LIDAR, and other smart devices to capture and verify real-world activities and events. Hardware owners are incentivized with crypto rewards and the captured real-world events are transformed and monetized as digital data for various third parties.
Mission
Elumicate is building a decentralized platform that uses cameras, LIDAR, and other smart devices to capture and verify real-world activities and events. Hardware owners are incentivized with crypto rewards and the captured real-world events are transformed and monetized as digital data for various third parties.
Challenges
Processing streaming video from IP cameras and real-time scans from LIDAR gateways into digital data requires an incredibly high amount of computing power. Due to the heterogeneous formats in which computer vision insights are captured, a flexible backend system must be utilized to standardize this data.
Challenges
Processing streaming video from IP cameras and real-time scans from LIDAR gateways into digital data requires an incredibly high amount of computing power. Due to the heterogeneous formats in which computer vision insights are captured, a flexible backend system must be utilized to standardize this data.
Challenges
Processing streaming video from IP cameras and real-time scans from LIDAR gateways into digital data requires an incredibly high amount of computing power. Due to the heterogeneous formats in which computer vision insights are captured, a flexible backend system must be utilized to standardize this data.
Challenges
Processing streaming video from IP cameras and real-time scans from LIDAR gateways into digital data requires an incredibly high amount of computing power. Due to the heterogeneous formats in which computer vision insights are captured, a flexible backend system must be utilized to standardize this data.
How W3bstream Helps
Elumicate is using W3bstream to process large amounts of computer vision data related to events in the physical world. Based on the amount of real-world insights gathered by an individual device, W3bstream will facilitate the distribution of crypto-rewards to hardware owners in a verifiable fashion.
How W3bstream Helps
Elumicate is using W3bstream to process large amounts of computer vision data related to events in the physical world. Based on the amount of real-world insights gathered by an individual device, W3bstream will facilitate the distribution of crypto-rewards to hardware owners in a verifiable fashion.
How W3bstream Helps
Elumicate is using W3bstream to process large amounts of computer vision data related to events in the physical world. Based on the amount of real-world insights gathered by an individual device, W3bstream will facilitate the distribution of crypto-rewards to hardware owners in a verifiable fashion.
How W3bstream Helps
Elumicate is using W3bstream to process large amounts of computer vision data related to events in the physical world. Based on the amount of real-world insights gathered by an individual device, W3bstream will facilitate the distribution of crypto-rewards to hardware owners in a verifiable fashion.
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W3bstream. Powered by IoTeX. Built by MachineFi Lab. All rights reserved.