The Latest Trends in Video Surveillance Systems

The video surveillance system market is expected to increase to 51.63 Billion USD by 2022 from 30.11 Billion USD in 2017, at a CAGR of 10.7%. The base year considered for the study is 2016, and the forecast period is from 2017 to 2022.

Keep reading to learn about the latest trends in video surveillance systems.

EVM Software

Video surveillance systems are used by businesses to protect their property and employees. One of the latest trends in video surveillance systems is enterprise video surveillance, which includes the use of enterprise video management (EVM) and cloud-based services. EVM is software that organizes, manages, and archives video data from security cameras. Cloud-based services allow businesses to store data on remote servers rather than on-site. This allows businesses to access video footage from any location with an internet connection. Other trends in video surveillance systems include the use of megapixel cameras and infrared technology. Megapixel cameras are cameras that have a higher resolution than traditional security cameras. This allows businesses to see more detail in the footage captured by the camera. Infrared technology also allows businesses to see objects in total darkness.

AI and 5G Surveillance Systems

Video surveillance systems are used to capture and record video images of people or objects in a particular location. The latest trends in video surveillance systems include the use of artificial intelligence (AI) and deep learning to improve the accuracy of facial recognition, the use of 5G networks to transmit video data faster, and the deployment of edge computing to process data locally.

The use of AI and deep learning for facial recognition is becoming increasingly common in video surveillance systems. This technology can be used to identify people who have been banned from entering a location, such as a store or an airport. It is also extremely useful for identifying criminals. The accuracy of facial recognition can be improved by using AI and deep learning algorithms to learn how specific faces look under different lighting conditions or at different angles.

5G networks can be used to transmit large amounts of video data quickly and efficiently. This makes them well-suited for use in surveillance systems, where large volumes of data need to be processed quickly. 5G networks can also handle peak traffic loads more effectively than traditional networks, making them ideal for supporting high-resolution video streams.

Edge computing is being increasingly deployed in video surveillance systems to reduce the load on central servers. By processing data locally, edge computing can reduce latency and improve performance. It can also help keep data private by preventing it from being sent to central servers.

Different Types of Surveillance Systems


Video surveillance systems come in various types, and each has its own benefits and drawbacks. The most common type is the Closed Circuit Television (CCTV) system. CCTV systems use cameras to transmit video signals to a specific, limited number of monitors. This makes them ideal for smaller businesses or homes where there are only a few people who need access to the footage.

Another common type of surveillance system is the Network Video Recording (NVR) system. NVR systems allow users to view footage from multiple cameras on one screen. They also store footage on a network rather than on individual hard drives, making them easier to manage.

The latest trend in video surveillance systems is cloud-based recording. Cloud-based recording allows businesses to store footage off-site on an online server. This can be helpful for businesses that want to keep track of employee activity or for businesses that experience frequent theft or vandalism.

Cameras Used in Surveillance

Ip cameras are digital cameras that send and receive data through a computer network, typically the internet. Ip cameras can be used for video surveillance systems in businesses and homes. Ip camera technology is replacing analog camera technology because it is more efficient and provides better image quality.

Analog cameras use a coaxial cable to send images from the camera to a video recorder. The images are recorded as an analog signal on videotape or disc. Ip cameras send digital images over a network using Ethernet or Wi-Fi. The images are compressed and encrypted before they are transmitted, making them less susceptible to interference than analog signals.

Ip cameras provide better image quality than analog cameras because they use compression algorithms that reduce noise and artifacts in the image. Ip cameras also have lenses that can be adjusted to capture the best possible image in any lighting condition. Analog cameras must use infrared LEDs to capture footage in low light conditions, which creates an artificial night-vision effect.

In a nutshell, the latest trends in video surveillance systems provide more security for businesses and homeowners and can help authorities solve crimes more efficiently. Additionally, the technology is becoming more affordable and easier to use, making it more accessible to a wider range of consumers.

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