Camera Frame Rate
Camera frame rate — measured in frames per second (FPS) — is the number of images a camera captures and transmits each second. It is one of the most important trade-offs in any surveillance deployment, balancing smoothness, bandwidth, storage, and analytics accuracy.
Camera Frame Rate
Camera frame rate — measured in frames per second (FPS) — is the number of images a camera captures and transmits each second. It is one of the most important trade-offs in any surveillance deployment, balancing smoothness, bandwidth, storage, and analytics accuracy.
How It Works
Frame rate affects every downstream cost and capability:
- Storage — 30 fps uses roughly twice the space of 15 fps at the same quality.
- Bandwidth — proportional to frame rate; a critical factor at scale.
- Analytics accuracy — higher FPS catches fast-moving events (ALPR at high speed, falls, weapon draws) but produces diminishing returns beyond a threshold.
- Viewer perception — 15 fps looks choppy; 25–30 fps is natural; above 30 fps is rarely noticeable for surveillance.
- 5–10 fps for low-activity archival (hallways, perimeter)
- 15–20 fps for general-purpose surveillance
- 25–30 fps for analytics-critical streams (ALPR, face recognition)
- 60+ fps only for specialized high-speed applications
- Too low — events can fall between frames; ALPR fails on fast vehicles.
- Too high — bandwidth and storage balloon without benefit.
- Wrong per-camera mix — uniform high FPS wastes resources on low-activity cameras.
- ALPR at speed — 25–30 fps to catch moving vehicles
- Face recognition at gates — 15–25 fps for walking pace
- Hallway monitoring — 10–15 fps is typically enough
- Perimeter cameras — 5–10 fps for low activity
- Slow-motion forensics — specialized 60+ fps cameras
Common deployment settings:
Why It Matters
Choosing the wrong frame rate costs money or misses events:
IncoreSoft's VMS platform supports per-camera and per-stream FPS configuration, letting you tune each camera to its role.
Use Cases
Frequently Asked Questions
Does higher FPS improve AI accuracy?
Up to a point. For most analytics, 15–20 fps is sufficient; beyond 30 fps, returns are minimal. For fast events (high-speed ALPR, sports, weapon draws), higher FPS helps.
How does FPS interact with resolution and codec?
They compound: 4K at 30 fps with H.264 uses roughly 8x the bandwidth of 1080p at 15 fps. Planning storage and network requires considering all three together.
Can I use different FPS for recording and live view?
Yes — many cameras support dual streams, one higher for recording or analytics and one lower for live viewing. This is a common bandwidth optimization.
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