The future of AI cameras

Since the first video images were recorded nearly eighty years ago, surveillance cameras have continued to evolve, and so have the technologies involved. Moving from analog cameras to IP-connected cameras and introducing features such as WDR (wide dynamic range) and PTZ (pan/tilt), and then manufacturing a wider variety of devices to meet changing needs. All in all, camera technology never stops.

The next stage in this evolutionary path is the move to artificial intelligence and the myriad ways it can enhance the operational capabilities of camera networks.

Artificial Intelligence is the element of computer science that teaches computers to "think," make evaluations, and generally perform tasks similar to humans. Artificial intelligence teaches devices to recognize and adapt to certain behaviors. What this basically means is that an AI camera is better able to perform day-to-day tasks because it is not only able to act as a "non-intelligent" recording device, but it is also able to learn, evaluate and "think" in basic ways about the images and videos it records.

Thus, cameras with built-in AI enable advanced features such as vehicle and face detection, License Plate Recognition (LPR), people counting, lost object detection, traffic statistics, and more.

These features make every camera in the network much more powerful than a standard IP camera and open up endless possibilities for smart buildings and cities.

AI cameras record the same video footage as traditional cameras and then provide the captured information through an analytics layer. Not only can AI cameras create a live video stream of a space or activity, they can also process millions of options for that footage in real time and help people make quick, informed decisions based on the information.

Beyond that, AI-powered cameras can do most of the heavy lifting associated with surveillance cameras—that is, it relieves humans of the burden of monitoring screens by filtering and analyzing the information, making it easier to Part of the monitoring network is automated.

It is an industry-accepted fact that human attention span begins to decline after 20 to 30 minutes. Consider a security professional monitoring screens all day long - the more automation a system can provide, the less likely that person is to lose something.

AI cameras can be set up to send an alert when an unrecognized person or object enters the field of view, or when something is missing from the field of view. Analysis of video footage can assess movement patterns in crowded spaces and alert security services in cases of unusual behavior – for example, a person moving the wrong way out of a specific area or in a crowd on a one-way street.

Similarly, AI-powered cameras have greater ability to operate in certain weather conditions. In situations where heavy rain or snow impairs camera functionality, smart AI cameras are more likely to recognize certain features in the field of view and be able to run hundreds of thousands of potential scenarios through their processors to come up with an accurate assessment.

Face recognition is a feature enhanced by artificial intelligence cameras. It is quickly becoming an accepted method of biometric access, with cameras now capable of scanning, identifying and granting access to buildings or other spaces. Using the technology could make airport security lines more efficient, public bars and clubs could use it to detect banned individuals and help curb anti-social behaviour, as well as promote smart gambling habits. Facial recognition has many benefits in modern smart buildings.

Artificial intelligence cameras can even detect a variety of guns and other deadly weapons, so they can play a very important role in law enforcement.

LPR (License Plate Recognition) is another effective area that is greatly enhanced by AI-powered cameras. LPR cameras can help control traffic flow and controls, speed entry into parking lots, reduce wait times at drive-thru restaurants, and facilitate automatic toll collection. Likewise, cameras with "learning" capabilities can process information in real time and make decisions on the fly.

AI cameras have many features that can enhance many aspects of modern life. Smart cities of the future will rely on technologies like these to increase security operations, speed up access control, improve traffic flow, and more.

In addition, AI cameras also play a key role in creating safer smart buildings. The 23rd China International Building Intelligence Summit in 2022, hosted by Qianjia.com, will officially kick off. The theme of this summit is "Digital Intelligence Empowerment, a New Carbon Future", in which how to create safer smart buildings will become one of the main topics discussed at this summit.

The summit will be held grandly in the five major cities of Xi'an, Chengdu, Beijing, Shanghai and Guangzhou from November 8 to December 8, 2022. At that time, we will join hands with world-renowned building intelligence brands and experts to share hot topics and the latest technology applications such as AI, cloud computing, big data, IoT, smart cities, smart homes, and smart security, and discuss how to create a "lower carbon, A safer, more stable and more open industry ecology will help achieve the "double carbon" goal.

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