Common matrix sizes (resolutions) in video surveillance include:
- VGA: 640x480
- HD or 720p: 1280x720
- Full HD or 1080p: 1920x1080
- 4K or Ultra HD: 3840x2160
- 5K: 5120x2880
- 8K: 7680x4320
It's also worth noting that higher resolution cameras typically generate larger video files, which can have implications for storage and network bandwidth.
Larger matrix sizes may also require more processing power and storage capacity, which can increase the cost of the camera.
The size of the matrix for photo and video equipment is characterized by a fraction with a dimension in inches, such as 1/4, 1/3, and 1/2. Generally, a larger matrix size corresponds to higher image quality. For example, a camera with a 1/2 inch matrix will produce higher quality images than one with a 1/4 inch matrix.
Cameras that provide more accurate images in low light conditions are typically more expensive and offer superior performance. The high cost of the lens is one of the factors contributing to the price increase.
Sensor size matters because each pixel needs light
When two sensors have the same resolution, the larger sensor can usually allocate more area to each pixel. That can improve signal-to-noise ratio and dynamic range, although lens quality and processing still matter. This is why a smaller high-megapixel sensor is not automatically superior for surveillance, especially in low light.
Match sensor, lens and resolution as one optical system
For SmartVision analytics, stable detail is more useful than excessive resolution accompanied by noise or motion blur. Choose the field of view first, then verify that the target occupies enough pixels and that the camera can maintain that detail at night. Continue with Camera Lens and Resolution.