From the moment video is recorded to the moment a user finally plays it back, this technology identifies all personally identifiable information in the video in real time and encrypts it at high speed, fundamentally blocking information exposure throughout the entire video lifecycle.
By using AI to efficiently select key frames from all frames for object detection and encryption, this technology enables real-time and high-speed video encryption with minimal overhead, even on low-spec and low-power devices with limited computing resources.
Blocks privacy exposure across recording, transmission, distribution, and storage.
Performs encryption/decryption faster than conventional methods using proprietary technology.
Precisely de-identifies only the personally identifiable information in video.
Using AI, this technology automatically detects abnormal behavior in video and compresses hours of footage into short summary videos so that operators can quickly review key objects and their movements.
By filtering out redundant background across frames and focusing only on key objects and their movements, this technology makes analysis more efficient, compresses large videos into short clips to save storage space, and significantly reduces review time for viewers.
Identifies important objects in video and quickly detects their abnormal behavior.
Combines video from multiple points in time into one, effectively summarizing key objects and related events.
Our proprietary GAN model stitches frames from various viewpoints into a seamless panorama.
This technology enables service exchange and collaboration between heterogeneous IoT systems or platforms, allowing them to freely use each other's IoT services by mapping and converting resource request formats across heterogeneous metadata without redevelopment.
It also semantically maps different access control policies to ensure consistent authentication and authorization across IoT platforms and can be adopted and scaled as a SaaS offering without additional development.
Maps and converts metadata formats between heterogeneous IoT systems and platforms without introducing a separate system.
Controls user access across IoT system and platform services based on heterogeneous access control policies.
Delivers the technology in cloud form, providing scalable services without additional development.
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