Cloud-based video surveillance offers remarkable flexibility, but managing bandwidth efficiently is crucial to ensure peak performance without overloading your network. To optimize your system, limit unnecessary uploads by configuring triggers for specific events like motion detection. Use intelligent archiving schedules to avoid disruptions during peak usage times and buffer live streams differently based on location priority.
Adjust camera resolutions strategically, maintaining high quality where critical while saving bandwidth in low-priority areas. Tailor AI features and keyframe intervals for each camera to reduce unnecessary resource consumption while keeping essential areas secure. Implement variable bitrate (VBR) to adjust quality based on activity levels dynamically, ensuring bandwidth efficiency. Streamline multi-camera feeds into consolidated streams to reduce load and review redundancy settings to avoid unnecessary backups in low-activity zones. These steps can help you harness the power of cloud surveillance while maintaining a balanced and efficient network.
source: https://www.greatservice.com/9-ways-to-lower-bandwidth-usage-with-cloud-camera-solutions/
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