Automating repetitive chores saves time and reduces errors, and developers often choose a scheduler to run a simple Python script that snaps an image from an IP camera each hour. Two options dominate the Python ecosystem. The first relies on cron, the built‑in timer of Linux, macOS and Ubuntu.

A cron daemon reads a crontab entry such as “0 * * * * python3 /path/script.py” and launches the script even when no user is logged in. The script uses OpenCV (cv2) to connect to the camera’s RTSP stream, capture a single frame and write it with a timestamp. Because cron runs only at the scheduled minute, it consumes no resources between executions and automatically retries after a failure.

The second approach embeds the schedule library inside a long‑running Python process. The program calls `schedule.every().hour.do()` and then loops forever, sleeping between checks. While this keeps the interpreter alive, any reboot or crash stops the job unless extra watchdogs are added, and it occupies memory continuously.

For a task that fires less than once per minute, cron remains the simpler, more reliable choice.