Closed-circuit television, or video surveillance, is simply the use of video cameras to send a signal, normally to a pre-determined location, over a restricted network of monitors. You have probably seen closed circuit televisions in action if you have ever watched any sort of news program or movie. The camera will display a live picture that can be seen only when it is within sight of the monitor. The camera also often displays a live stream of what the camera is watching. The video from the camera is then passed on to the person watching the video by way of a television connection or cable, or through the use of a telephone line. Video surveillance has become quite popular over the years for various reasons, and today it is easy to find video surveillance systems for sale both in the store and online at a wide range of prices.
Some of the more common uses of video surveillance cameras camera video supraveghere include protecting stores from theft; preventing damage to physical property by a burglar; and monitoring a child’s area. In the case of protecting a store from theft, closed circuit television can often be used to scan an entire store looking for signs of potential theft. If a given area is found to be free of signs, closed circuit television will record the location for further investigation. If more than one theft is found, additional video cameras may be added to the system.
Homeowners have many different uses for closed circuit television systems, and many have created their own video surveillance systems to protect their homes. Many homeowners use closed circuit video analytics systems to monitor their outdoor areas such as porches, patios, decks, walkways and near their pools. These systems often use infrared cameras that are able to pick-up images at a very low light level. There are several types of infrared cameras, including: monocular, binocular, and field-effect based. Monocular cameras use visible light, while field-effect based cameras use infrared light.
Many home surveillance companies offer video analytics systems that are based on computer algorithm technology. These systems are capable of identifying both face and body recognition in faces and in recorded video footage. The computer algorithm can determine the age and gender of individuals in the surveillance footage, as well as the race of the individual. This computer algorithm can also determine if an individual is breaking the law by encroaching on another person’s space, or if an individual is acting suspiciously or dangerously.
Another popular use of video analytics in surveillance camera systems is to monitor public transportation systems. Many people are becoming increasingly aware of the benefits of using transit systems to get to work, store, school, and other important activities. Public transit systems are designed to reduce traffic congestion, help cut down on emissions, and increase safety for commuters. Many transit systems use CCTV so that they can identify and monitor the unsafe behaviors of drivers on their buses, trains and subways.
FOV (field of view) video cameras are also used by federal and state law enforcement agencies to monitor and control large crowds. State and federal law enforcement agencies are concerned about crowd control because of the increased threats of crime associated with large numbers of people. In order to control these crowds, they rely on the ability to observe the crowd in clear detail, from a distance. FOV cameras allow law enforcement agencies to observe and record in areas where it would be extremely difficult to safely monitor crowds. FOV cameras and other video analytics technologies are being rapidly purchasing by businesses, cities, and states to better manage their large and chaotic crowds.
Computer vision and human analytics are not the only applications for high resolution video surveillance systems. Businesses and homeowners have identified the need to use a video camera to watch employees while they are supervising children in a daycare setting, or to check on the welfare of a senior citizen at home. In these instances, the video camera can play the role of both human analyst and computer analyst. The human analyzer can look for patterns or signals that indicate misdeeds by the employee or the homeowner, and the computer can detect anomalies in the video. When a business or a homeowner installs a video analytics or computer vision system, the system can be automatically adjusted to recognize and record anomalies that occur in the day or in the eye of the beholder.
Some companies are developing sophisticated software programs to process the unstructured video streams that are received by the video camera. These programs are being developed to perform tasks traditionally reserved for humans. For example, some software can detect anomalies in the video stream that are not easily detected by a human. Other advanced technologies will be able to detect motion in a video and deliver real time information about what is seen or heard by the user. The combination of computer vision and human analytics will produce an unparalleled combination of capabilities that will allow you to increase the effectiveness of your video monitoring or surveillance system.