How do infrared IP cameras affect bandwidth and storage requirements?

1 How infrared IP cameras work

Infrared IP cameras use infrared light to illuminate the scene and capture images in the dark. Infrared light is invisible to the human eye, but it can be detected by the camera sensor. Infrared IP cameras have a built-in infrared LED array that emits infrared light when the ambient light level drops below a certain threshold. The camera then switches to black-and-white mode and adjusts the exposure and gain settings to enhance the contrast and clarity of the infrared images.

2 Factors affecting bandwidth and storage

The bandwidth and storage requirements of infrared IP cameras depend on several factors, such as resolution, frame rate, compression, motion detection, and noise reduction. Higher resolution and frame rate mean more pixels and frames to transmit and store, which increases the bandwidth and storage consumption. Compression reduces the file size of the images by removing redundant or irrelevant data, but it also reduces the image quality and introduces artifacts. Motion detection triggers the camera to record only when there is movement in the scene, which saves bandwidth and storage space, but it also increases the CPU load and may miss some events. Noise reduction filters out the random fluctuations in the pixel values caused by low-light conditions, which improves the image quality and reduces the bandwidth and storage consumption, but it also softens the edges and details of the images.