Security Light-Cam Dual Bitrate Video Management
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Solution Overview
Problem
Current security cameras that rely on cloud-based services for storage and processing incur high costs due to bandwidth, storage, and processing expenses, especially with high bitrate video, while end-users seek fast and high-quality video access.
Innovation Solution
Implementing a security light-cam with a cloud-based video management system that captures high bitrate video locally and stores low bitrate video in the cloud, allowing for synchronized modifications and reduced data transmission, enabling end-users to edit low bitrate video for quick access to high-quality footage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high bitrate video is uploaded to cloud service for storage and processing, then video quality and access speed are improved, but bandwidth costs and storage costs increase significantly
Solution Approach 1:
The video data is segmented into two versions: high bitrate video stored locally at the edge device and low bitrate video stored in the cloud. This segmentation allows the system to maintain high video quality locally while reducing cloud storage and bandwidth requirements by only uploading the compressed low bitrate version.
Solution Approach 2:
The edge device stores and processes high bitrate video locally to ensure high video quality and fast access speed. The cloud service only stores the low bitrate version, which is sufficient for basic access but significantly reduces the data volume and associated costs.
2Measurement precision
If high bitrate video is processed for transcoding and object detection, then video analysis accuracy is improved, but processing costs and computational requirements increase
Solution Approach 1:
The processing workload is segmented between the edge device and cloud service. The edge device performs initial processing on high bitrate video locally, while the cloud service processes only the low bitrate video for additional analysis. This reduces the total computational burden on expensive cloud processing resources.
Solution Approach 2:
The edge device performs preliminary processing and object detection on the high bitrate video before uploading to the cloud. This preliminary action filters and pre-processes the data, reducing the amount of processing required in the cloud and lowering overall computational costs.
3Reliability
If 24/7 video footage is stored in cloud service, then video availability is improved, but storage costs and bandwidth requirements increase
Solution Approach 1:
The video storage is segmented into local storage at the edge device for high bitrate video and cloud storage for low bitrate video. This allows 24/7 video availability through local storage while significantly reducing cloud storage requirements by only storing the compressed low bitrate version.
Solution Approach 2:
The edge device acts as an intermediary between the camera and cloud service. It buffers and stores high bitrate video locally, then uploads only the necessary low bitrate version to the cloud. This intermediary approach maintains video availability while reducing cloud storage and bandwidth requirements.
Data Source
AI summary
The invention concerns a system comprising a security device and a computing device. The security device may be configured to generate first video frames at a first bitrate and second video frames at a second bitrate from pixel data, store the video frames and metadata comprising index information for the video frames, communicate the second video frames and the metadata. The computing device may be configured to receive a video selection and a command from a user via an interface, display the second video frames using the interface in response to the video selection and communicate the command to the security device. The command may enable a modification to the first video frames stored on the security device using the display of the second video frames on the interface based on the metadata. The security device may generate modified first video frames in response to the command.