Artificial intelligence (AI), deep learning (DL) and machine learning (ML), are famous terminologies predominantly in the security industry, that builds the expectation of real-life science fiction from our software and hardware.
AI has been primarily acknowledged in the video analytics market based on the benefits. Artificial intelligence is said to have drastically improved the capabilities and accuracy of video analytics, resulting in less false alarms, as well as accuracy in recognition of faces, objects and more. Over the years, the complexity of security challenges became more apparent, which prompted the need for innovation and implementation of deep-learning AI.
The evolution and innovation of artificial intelligence has resulted in the availability of more advanced features involving ANPR, object classification and face recognition, contributing to various successful deployments.
Consistent Progress
The progress between industry to industry and from application to application differs in various ways. Deep learning or machine learning is commonly used for video analytics, however, the technology will pose a vital component in many different products and applications in the future. It has been anticipated that AI will become a common tool for software engineers and will be implemented in various other environments. AI enabled cameras have become quite the trend in the surveillance industry and is specifically aimed at city surveillance, industrial and transportation applications.
From seeing to recognizing
AI enabled cameras offer numerous benefits, providing human-oriented solutions, such as privacy protection, face recognition, people counting, human video metadata and stereo analysis. Many AI enabled cameras also boast multiple vehicle-based AI characteristics, such as vehicle metadata and ANPR, illegal parking functionality for easy control, quick search and business analysis. It is said that artificial intelligence technology has been best implemented in the physical security industry. Deep-learning-based artificial intelligence technology in image recognition has successfully promoted the implementation of a large number of applications in the security industry.
The trend of security cameras also introduces data storage and processing challenges to the security industry. Manually retrieving and monitoring large volumes of footage can lead to a lack of accuracy as it consumes a lot of manpower. The application of AI technology can minimize the risks involved with manual monitoring. The combination of AI technology and big data contributes to security systems transforming from a passive to a more proactive solution as security video technology is evolving from just seeing things to recognizing and analyzing things.
Expectations
The progression of AI in the surveillance industry is still in the development stage even though there has been substantial improvements and advancements in AI performance thus far. It is predicted that the future will boast improved AI systems that will decipher what algorithm is best used and suited for different scenarios and will adapt accordingly.
Cloud-based analytics has also been introduced to the surveillance industry. Running every camera on AI technology can become an expensive task, however, selecting specific cameras for specific locations whilst getting as much coverage as possible is definitely a better solution. Some expectations of AI applications within network video security cameras will involve a combination between edge analytics or server-based analytics. These AI programs can be beneficial for many purposes such as;
- recognition of vehicles, humans, or objects
- trespassing within a perimeter fence, restricted area, predefined area, or parking lot
- enable alerts when breaches or programmed rules are broken.
AI technology has already proved advantageous in reducing false alarms, resulting in a significant transition from providing post-incident security to informing and warning operators through a more proactive approach through accurate predictions. Artificial intelligence technology in surveillance will provide added value and deliver improved service, enhancing the capacity of service delivery in the security and safety arena.