World is advancing rapidly day by day with technology. since the beginning of last century (20th), there were many technological eras impacted by various technologies. For example during the first decade of 20th century, the major technology that started impact was electricity; the infamous A/C an D/C war between Great Nikola Tesla and Thomas Edison. Them during the world war-II, the major technological invention was atomic bomb.
Artificial intelligence:
The most recent and probably the most important technological development in this century is rise of Artificial intelligence. AI is rapidly advancing and spreading across almost every field. the potentials of AI is going to help automating many complex tasks currently handled by humans for better performance.
Artificial intelligence is the most suitable technological application type for achieving higher automation. AI-based automation is using power of artificial intelligence and its subfields such as machine learning, computer vision to automate complex tasks to reduce human intervention. This modern approach in to automating tasks can reduce work time while improving productivity and accuracy.
computer vision:
Computer vision is one of many subfields of AI, yet one of the major AI subfields as well. Computer vision simply define the technological process that is being used to enable the ability of computers to understand their surroundings and physical world by analysing visual input data and making decisions by themselves. Computer vision is mimicking the process of a human eye to observe, collect data, and make decisions without any human interventions.
traditional security systems with visual input data:
Visual monitoring devices, ranging from standard CCTV cameras to autonomous security drones, are ubiquitous in today’s environment. These security systems generate substantial amounts of footage, a significant portion of which remains unutilized after capture. It is exceedingly challenging for individuals to oversee numerous live security feeds and respond proactively.
security and surveillance are essential for keeping a society safe and secure all the time.
importance of computer vision in the field of security and surveillance:
computer vision is a major subfield of AI. computer vision has many advantages than a typical traditional security system. Computer vision technology utilizes the vast amount of visual data to discern which information is valuable, which can be disregarded, and which requires prompt attention.
computer vision in video surveillance:
In a traditional video surveillance-based security system, the data analysed by humans themselves manually. Computer vision-based security systems possess the capability to continuously analyse security footage, monitor all individuals within their field of view, and detect patterns as well as any potentially suspicious behaviour, unlike human personnel who may experience fatigue. In recent years, numerous start-ups have emerged, offering AI-driven video surveillance solutions.
There are several use cases of using computer vision in security and surveillance including:
Checkpoints:
Advancements in computer vision technology have significantly improved the detection and identification of threats at security screening checkpoints. By automating the security screening process, these technologies allow checkpoints around the globe to identify a greater number of threats, while simultaneously lowering operational costs and enhancing efficiency.
theft and abnormal activity detection:
with the pre-trained models and machine learning/deep learning algorithms, computer vision can be used to detect abnormal activities, thefts, robberies, and other harmful activities 24/7. with advanced computer vision-based algorithms. these systems are more accurate than any other technology in real time data analysing and
Public safety:
security cameras and surveillance cameras mainly can be used in securing public and making a safer environment. computer vision-based surveillance systems can be used to analyse input data in real time and identify any crime or abnormal activity, personal identification, and other security tasks etc.
also, during the pandemic era, many facilities wanted to check important safety requirements such as masks.
There are several start-up companies that use computer vision to build security and surveillance protocols/systems.
as mentioned before, there are several use cases of computer vision as the core technology to build better systems for public safety.