Motion Detection types (Frame based vs Experimental)

🟢 cv basic (basic motion detection) this mode is designed for fast and lightweight motion detection it compares each video frame against two reference frames — one updates quickly, the other more slowly — and triggers motion when changes exceed a defined threshold best for simple, stable environments with consistent lighting when you need a quick response to movement systems with limited cpu resources lower cpu usage immediate motion response ideal for basic surveillance with just a few cameras and no need for advanced motion detection 🔵 cv multiframe (advanced motion detection) this mode uses a more sophisticated method, analyzing motion across multiple frames using a continuously updated reference frame and a short history of motion events (aka “ring buffer”) best for environments with changing lighting or background motion (e g , trees, shadows, bugs) reducing false alarms when motion detection accuracy is critical highlights higher accuracy with fewer false positives adapts better to dynamic environments requires more cpu and memory, but nothing concerning for anything above a entry level pc