Home network cameras are network monitoring solutions designed for families and other civilian users. They are also a new generation of products that combine traditional network cameras with IoT cloud technology. It uses network technology to centralize monitoring systems such as video, audio, and alarms, and saves and sends useful information to other data terminals such as mobile phones, iPads, and computers through server processing. As people's safety awareness increases day by day, more and more people, especially those who travel frequently, begin to consider installing home network cameras.
Generally, when we consider installing monitoring, we have more realistic needs, either to protect property, or to take care of family members and pets, etc. Basically, there are probably the following scenarios in life where we need to install monitoring:
Security and anti-theft are our most common needs. When no one is at home for a long time, for safety reasons, we need a pair of "eyes" to help us take care of the situation at home at any time.

Classified by appearance, there are mainly gun cameras, ball cameras, hemispherical cameras, pan-tilt cameras, etc.
At present, most home surveillance cameras use PTZ cameras indoors. They are easy to install, can be hoisted or placed at will, and are more flexible to operate.
Classification by power supply method mainly includes power supply, network cable power supply, battery power supply, solar power supply, etc.
Classified by network supply method, there are mainly three types: network cable, wireless, and traffic card.
At present, most mainstream home surveillance cameras support wireless WIFI connection. Some surveillance cameras also provide built-in WIFI hotspot function, which can be viewed directly through the APP without Internet access. The specific situation can be considered comprehensively according to the home situation.
According to the storage method, there are mainly three types: memory card, NVR storage, and cloud storage.

Usually, the first condition we think of when choosing a camera is high definition. Here, high definition refers to the resolution size of the camera.
There are generally two ways to say the resolution of a camera. One is 720P, 1080P, 2K, 4K, etc., and the other is 2 million, 3 million, 4 million, 5 million, 8 million, etc. In fact, there is no essential difference between the two, just different names for resolution. The P here refers to the pixel value Pixel, which is the basic unit of the picture. The resolution is the height * width of the picture.
Simply put, 1080P means that the resolution reaches 1920*1080=2073600P, that is, the resolution is 2073600P, which is about 2 million pixels, so generally 1080P can also be called 2 million pixels. 4k means that the resolution reaches 3840*2160=8294400P, which is about 8 million pixels. Generally, pixels above 8 million can be called 4K high-definition.
Generally speaking, the higher the resolution, the higher the pixel value, and the clearer the image. But for home monitoring, the higher the resolution, the better. The higher the resolution, the more storage space is needed, the higher the bandwidth of the home network is occupied, and the cost will increase accordingly.
The resolution of mainstream home surveillance cameras on the market is generally around 2 million to 4 million, which is enough to see faces and movements clearly in indoor environments. Of course, if the budget is sufficient and there are higher requirements for the clarity and monitoring distance of the surveillance video, you can choose a higher resolution as needed.
The lens of the surveillance camera is the most core part, which determines the monitoring angle range and monitoring distance. Usually, the larger the focal length of the lens, the farther you can see, the smaller the viewing angle range, and the smaller the focal length, the closer you can see, and the larger the viewing angle range. The focal length of the lens of the surveillance camera on the market is generally between 2.8mm and 12mm.
In addition, some camera lenses are zoomable, and the lens size can be adjusted according to the monitoring scene range, which is more flexible and convenient, but the cost will also increase accordingly.
At present, most home indoor surveillance cameras use 2.8-4mm lenses, and with the pan/tilt, they can monitor every corner of the room at 360° horizontally without blind spots.
Currently, mainstream surveillance cameras on the market support infrared night vision function, and there are also starlight night vision, full-color night vision, and black light night vision.
Infrared night vision refers to the function that in a dark or dim light environment, the camera uses an infrared transmitter to actively project infrared light onto an object, and the infrared light is reflected by the object and enters the lens to obtain the image. It is also the most commonly used night vision method.
The infrared night vision distance can generally reach about 10 meters. Some cameras can increase the night vision distance to 30-50 meters by increasing the transmission power. However, the biggest problem with infrared night vision is that the picture is black and white and cannot show more details.
Starlight night vision means that the surveillance camera can still show color pictures in low-light environments. Generally, large aperture lenses and high-sensitivity sensors are used to make the light intake more and the photosensitivity better. The night vision effect is clearer and the picture is more delicate than that of ordinary infrared night vision cameras.
However, when the external light illumination is lower than the threshold of the infrared switching of the starlight camera, the starlight camera will still switch to infrared night vision and become a black and white picture.
Full-color night vision means that the surveillance camera can always present a clear color shooting picture in low illumination or even no light. When the ambient light is low or even no light, the fill light will be automatically turned on to achieve full color day and night.
The full-color night vision function is not suitable for indoor installation because it will turn on the fill light. It is more suitable for places that still require high-definition image quality in dark or no light environments, such as home courtyards, roads, warehouses, underground parking lots, parks, etc.
Blacklight night vision is a night vision method that has only appeared in recent years. It mainly solves the problem of image color loss in dark night environments. Blacklight night vision cameras generally use a dual sensor architecture. Based on the principle of human eye bionics, it solves the contradiction between color and brightness, greatly improves the night imaging effect, and can also provide an excellent color image visual experience under extremely low illumination.
Due to its relatively high cost, blacklight night vision function is generally not considered for home monitoring. It is usually used in squares, parks, scenic spots, streets, stations, highways and other scenes that require night color monitoring and capture.
From the perspective of cost-effectiveness, indoor surveillance cameras generally use memory cards to store video files. So how to choose the appropriate memory card size when choosing?
Here is a brief introduction to the calculation method of surveillance video capacity. The video storage capacity of surveillance cameras is related to many factors such as video resolution, bit rate, frame rate, compression format, etc., among which the most important parameter is bit rate.
Bit rate, also known as bit rate, is a parameter used to indicate the amount of video data in a unit of time. Under the same resolution and frame rate, the larger the bit rate, the higher the video quality, and the larger the storage space occupied. Conversely, the lower the video quality, the smaller the storage space occupied.
The current mainstream storage capacity calculation formula is: the storage capacity of a day of recording (unit: G) = bit rate (Mbps) / 8 (byte-to-bit conversion) / 1024 (converted to G) * 3600 seconds (per hour) * 24 hours (per day).
Taking the 2-megapixel H265 compression format as an example, the default bit rate is set to 2Mbps, then the storage space required per day for uninterrupted recording is: 2Mbps/8/1024*3600*24 ≈ 21G.
Simply put, the default bit rate of 3 million pixels is 2.5Mbps, and the daily storage space is: 2.5Mbps/8/1024*3600*24 ≈ 26G. The default bit rate of 4 million pixels is 3.75Mbps, and the daily storage space is: 3.75Mbps/8/1024*3600*24 ≈ 40G.
So when choosing, you can roughly estimate the required space size by doing a simple calculation based on the camera's resolution and expected storage cycle.
It should be noted that different brands of cameras have different video encoding and calculation methods, and the bit rate itself can also be adjusted in the camera settings. For example, for a 4 million pixel camera, we can also set the bit rate to 1Mbps, so that the storage space occupied per day is about 10G, which can greatly save memory card space.
4.5 Intelligent functions
With the development and popularization of AI, many intelligent AI technologies have also been applied to surveillance cameras, including: human detection, face recognition, mobile tracking, crying detection, abnormal sound detection and other functions, which make surveillance cameras have a larger application space.
Other factors that need to be considered include installation method, waterproofing, privacy protection, etc. We can choose according to our own preferences.
There are five points to note when installing home network cameras at home.