Why artificial intelligence will become a big demand in the security field

Video surveillance has always been an important part of the security system. The traditional surveillance system includes front-end cameras, transmission cables, and video surveillance platforms. However, viewing video is not only a huge workload but also extremely inefficient. The security field has been seeking different solutions for a long time. The limited ability of humans to monitor surveillance video has led to the need for artificial intelligence.

Early Solutions - Motion Detection Cameras

In order to make up for the shortcomings of people's long-term monitoring of the monitor's easy loss of attention and identification of security warnings, the first solution adopted is to add motion detectors to the cameras. When the movement of an intruder or perpetrator is detected, the detector will send an alarm to the remote monitoring personnel, without the need for the monitoring personnel to stand in front of the display screen for a long time. However, the problem is that in the outdoor environment, there are various motions or pixel changes, such as leaves blown by the wind, insects, birds, dogs, shadows, sunlight, etc., which disturb the motion. This results in hundreds or even thousands of false alarms per day from motion detectors, making the solution inoperable in off-hours indoor environments.

Advanced Video Motion Detection

The next evolution reduced false alarms somewhat, but at the cost of complex and time-consuming manual calibration. Here, changes in objects such as people or vehicles are detected with respect to a fixed background. Reliability deteriorates over time if the background season changes or due to other changes. Again, the economics of responding to too many false alarms proved to be an obstacle, and this solution was insufficient.

true video analytics

Machine learning for visual recognition involves pattern classification recognition. True video analytics can distinguish human form, general movement of vehicles and boats or selected objects from all other objects and visual static or pixel changes on the display. It does this by recognizing patterns. Alerts are sent when a captured object, such as a person, violates preset rules. A red rectangle, or so-called "bounding box," typically tracks detected intruders automatically, sending short video clips of them as alerts.

The rise of artificial intelligence (AI) is starting to revolutionize technology in all walks of life, in which security is also prominent. If the video codec technology brings the security industry from the analog era to the digital era, the mature application of artificial intelligence technology in the security industry has brought the security industry into an intelligent era.

Artificial intelligence for video surveillance utilizes computer software programs to analyze images from video surveillance cameras in order to identify people, vehicles or objects. Security contractors program the software to define restricted areas within the camera's view (such as fenced areas, parking lots, but not sidewalks or public streets outside the parking lot).

The AI ​​program asks through machine vision whether the observed object is moving like a reference image, combines all the values ​​from various questions, comes up with an overall ranking, and sends an alert if the value exceeds a set limit. The characteristic of these programs is that they are self-learning to some extent.

A form of non-rules-based security AI known as "behavioral analytics". The software is completely self-learning, requiring no initial programming input by the user or safety contractor. In this type of analysis, AI understands the normal behavior of people, vehicles, machines, and environments based on its own observations of various characteristic patterns, such as size, speed, reflectivity, color, grouping, vertical or horizontal orientation, and more. AI normalizes visual data, which means it classifies and labels the objects and patterns it observes, creating a consistently precise definition of the normal or average behavior of various observed objects. After a few weeks of learning, it can identify when patterns are broken. It raises an alert when it observes this anomaly. For example, it is normal for a car to drive on the street. It would be an anomaly to see a car driving onto the sidewalk.

AI+Video Surveillance

01 Active and real-time protection

Traditional video surveillance solutions remain reactive and useful only after an incident has occurred or at least a threat has been detected by a human operator. The addition of artificial intelligence systems can detect potential threats in advance and issue early warning instructions.

02High efficiency

Error-prone and attention-fatigued surveillance personnel are one of the main issues affecting safe operations, and the benefit of an AI solution is that machines can compensate for human errors and deficiencies.

03 Smart Objects and Facial Recognition

Based on the concept of active and real-time security, AI-based technology can provide excellent facial and object detection capabilities.

The power of artificial intelligence will also enable "faceless recognition", not only through facial visual recognition, but also other factors such as height, posture, body shape, etc. In addition, the solution can gain a better understanding of the monitored environment, detect activity patterns and extract anomalies when needed; it can also try different simulations to suggest potential threat situations that may exist.

04 Image quality enhancement

Although HD and UHD cameras promise sharp image capture, the truth is that most cameras are still of poor quality. While many cameras perform well in ideal lighting conditions, the quality drops dramatically in harsh environments. This becomes a major hurdle when it comes to gathering vital information. AI algorithms allow for intelligent image sharpening solutions that help security departments make sense of video that may be blurry or unclear.

05 Read big data

Monitoring is not just data from a single source. Different types of cameras and sensors cover every corner and there is no room for error. This means that security solutions must deal with large amounts of data that require specialized software systems to manage.

The only way to manage and interpret such big data is through sophisticated software solutions provided by AI. Harnessing the power of big data will allow security operators to ensure they take every possible measure to protect their assets.

Judging from the current development, AI technology has natural scenarios, needs and applications in the security industry, and is promoting the third technological change in the video surveillance industry after high-definition and networking. From "seeing" to "seeing clearly" and now "understanding", more AI algorithms, AI chips, and AI products will be applied to the video industry in the future, thereby driving the development of the security market. , In addition, AI has also detonated the entire Expo and the entire security industry, AI + security has become a hot topic.

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