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Blue iris tools will not download3/10/2024 ![]() Always keep your software updated and consider minimizing background processes to maximize CPU efficiency.Blue-Iris-pushsafer How to send push-notifications out of Blue Iris by With careful configuration of camera settings, hardware acceleration, and limiting decoding, you can achieve efficient resource utilization without compromising on video quality and motion detection performance. This can help allocate more CPU power to Blue Iris.īy following the optimization steps outlined in this article, you can significantly reduce CPU usage in Blue Iris and ensure smooth operation of your surveillance system. Minimize Background Processes: Close any unnecessary applications or processes running in the background. Consider using debloating tools to remove unnecessary services and streamline system performance. In addition to optimizing Blue Iris settings, there are other steps you can take to minimize CPU usage:ĭisable Unused Windows Services: Disabling unnecessary Windows services can free up CPU resources. Experiment with different frame rates to find the optimal balance between CPU usage and real-time monitoring. By reducing the number of frames per second in the live preview, CPU workload is minimized while still providing adequate motion video viewing. To further decrease CPU usage, adjusting the live preview rate can be beneficial. By setting Blue Iris as a service, the software will initiate recording without user intervention, improving reliability and uninterrupted surveillance. Running Blue Iris as a service ensures automatic startup and recording in case of system reboots. However, it's important to consider the balance between image quality and CPU utilization. Lowering the frame rate of cameras that do not require a high frame rate and setting a variable bit rate can help reduce CPU workload. Changing Video Configurationįor systems with numerous cameras, adjusting video configurations can impact CPU usage. ![]() Additionally, ensure that hardware acceleration and GPU options are enabled for better performance. Adjusting these settings can help balance image quality and CPU usage. Configure cameras to use recommended settings for frame rate, bit rate, and encoding profiles. Optimizing camera settings can contribute to overall CPU utilization. Pros: Significant reduction in CPU usage.Ĭons: Feature availability varies depending on camera model. This feature varies depending on the camera model and may require adjustments in the camera's own graphical user interface (GUI). By setting the decoding limits to match the frames per Second (FPS) of the camera, Blue Iris will only decode necessary frames, reducing CPU usage. Limiting Decoding Unless RequiredĬertain cameras allow for limiting decoding unless required, offering further CPU savings. Pros: Reduced CPU usage, efficient motion detection.Ĭons: Lower resolution display on live view. By enabling substreams, Blue Iris can perform motion detection and other tasks using fewer pixels, resulting in reduced CPU time. Substreams are lower-resolution versions of the camera's main stream, which require less processing power. When adding cameras to Blue Iris, configuring substreams can significantly reduce CPU usage. By bypassing encoding and decoding processes, CPU usage is reduced. This allows the software to record camera streams straight to the disk without additional processing. To further optimize CPU usage, enable the direct-to-disk recording feature in Blue Iris. Select the appropriate hardware acceleration option in the settings menu to optimize decoding. By enabling hardware acceleration, the CPU workload is offloaded to the GPU, resulting in lower CPU usage. Hardware Accelerated Decodeīlue Iris supports hardware-accelerated decoding, specifically Intel processors with built-in decoding capabilities. Check for updates in the settings menu and install them accordingly. The developers constantly release updates with new features and optimizations that can help reduce CPU usage. Updating to the Latest VersionĪlways ensure that You are using the latest version of Blue Iris. ![]() To minimize CPU usage, it is recommended to pause the live view when not actively monitoring the cameras. The live view in Blue Iris can Consume a significant amount of CPU resources, especially when viewing it on multiple devices or the application itself. In this article, we will provide step-by-step instructions to optimize Blue Iris and reduce CPU usage, all without spending extra money. However, with the addition of more cameras and advanced features like AI Tools, the CPU usage can skyrocket, causing performance issues. How to Optimize Blue Iris and Improve CPU Usageīlue Iris is a powerful surveillance software that allows users to manage and monitor multiple cameras.
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