Higher resolution cameras can capture more details, making them ideal for monitoring larger areas or when a higher level of detail (like facial recognition) is required.
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
However, it's important to note that just having a high resolution doesn't guarantee good image quality. Other factors, such as lens quality, sensor size, compression algorithms, and lighting conditions, also play a role in the overall video quality.
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.