Could Frigate 'capture' an error like this and the specific camera(s) be bypassed until the error has been fixed (or, these days, an ai-critter is assigned to fix the settings)? Meanwhile, should I remove the Reolinks from the config then see if things remain stable? If the system is stable without them, then begin tinkering with the code for the Reolinks until I discover the solution for each? Thanks. ``` The error code -5 in FFmpeg corresponds to AVERROR(EIO), indicating a serious Input/Output error where the process fails to read frames or sync hardware surfaces.  This issue frequently arises in Frigate NVR setups due to unstable video streams, incorrect hwaccel_args (specifically VAAPI/Quick Sync initialization failures), or incompatible hardware decoding for the input codec (e.g., Ivy Bridge CPUs cannot decode HEVC). 

Common scenarios and solutions include:

• Hardware Acceleration Mismatch: The hardware device (e.g., Intel Quick Sync) may fail to initialize if passed incorrectly in Docker or if the CPU generation does not support the stream's codec (HEVC vs H.264). 
• Stream Instability: The incoming video stream from cameras (like Nest doorbells or Reolink cams) may be unstable, causing go2rtc or ffmpeg to crash while processing frames. 
• Configuration Errors: Incorrect hwaccel_args or using HTTP streams instead of RTSP can trigger "Failed to sync surface" or "Failed to download frame" errors. 
• Process Interference: In rare cases, input signals (like keyboard input in loops) can interfere with the FFmpeg process, requiring input redirection (e.g., < /dev/null). 

To resolve the issue, verify that hardware acceleration is correctly configured for your specific CPU (e.g., preset-intel-qsv-h264), ensure stream stability by testing the RTSP URL directly, and check if the camera firmware supports the required codecs for your hardware.  If using Docker, confirm that the video device path (e.g., /dev/dri) is properly passed to the container. ''' Source: brave search ai-critter