Safety & Security

Big operations produce massive amounts of data every day, which are hard to handle in their entirety even by cybersecurity experts, whereas AI systems are capable of quickly sifting through loads of data to detect system vulnerabilities and security holes.

Safety & security industry

Safety & security industry

Most companies use human operators to monitor violations and threats which is time-consuming, laborious, costly, and often inaccurate. AI-powered safety tools can address all these issues cost-effectively. AI machines can even detect unknown threats hidden from ordinary analysis that can heavily damage networks. Big operations produce massive amounts of data every day, which are hard to handle in their entirety even by cybersecurity experts, whereas AI systems are capable of quickly sifting through loads of data to detect system vulnerabilities and security holes. 

How can AI be applied in safety and security

How can AI be applied in safety and security?

Three Following AI algorithms are applicable to the field of safety and security:

  1. AI’s ability to do complex multitasking enables them to efficiently perform routine safety tasks and more.
    AI-powered machines can perform object detection, segmentation, tracking, recognition, and classification, using Video Content Analytics (VCA). This means that just by feeding them visual data such as closed-circuit TV (CCTV) footage or fingerprint scanners logs, they can take care of authentication and safety monitoring, and even prevent worker injuries in repetitive tasks. The software can be configured to constantly check whether workers are wearing hard hats, face shields, goggles, gloves, vests, respirators, safety shoes, coveralls, etc. and alarm managers if any violations occurred to proactively prevent incidents and significantly promote worker safety.
    Since AI enables us to unlock various data such as speed, size, direction, color, path, and area of object in the picture, the potential for new applications are virtually limitless.
  2. Any text data can be analyzed and converted to digital data using optical character reader (OCR). AI algorithms can then analyze the text and understand its meaning using natural language processing (NLP) algorithms, to help safety managers scan huge texts for spam or other malfunctions.
  3. Machine learning algorithms based on the neural networks can be utilized to find a pattern in data, in order to extend the functionality of business applications.

AI in Safety & Security Applications

Traffic control and Road Safety

AI-powered VCA systems can accurately detect any traffic violation and automatically report them. Moreover, collecting and analyzing all the data and using it to train an AI model can provide deep insights into the root causes behind the traffic violations. Such insights can empower police and other traffic agencies to improve traffic flow and prevent accidents. Some of the violations that can be detected by our intelligent machine are listed below:

  • Wrong-way driving and illegal turning
  • Not wearing Helmet or triple riding for motorcycles
  • Parking in prohibited areas
  • License Plate Manipulation
  • Cross-line violations
  • Using a cellphone while driving
  • Not wearing a seat belt
  • Speed limit violations

Tracking crime

Tracking crime

To identify people of interest or tracking suspects in post-incident investigations, accurate face and object recognition plays a crucial role for security services and law enforcement agencies. Employing deep neural network (DNN) models, the AI-powered VCA software can be trained to convert, regenerate, or recognize colors and backgrounds in different videos, or to detect objects in videos helping forensic detectives identify suspicious items or people in a crime scene, track vehicles in a hit-and-run accident, recognize and track suspicious packages at critical places such as airports, or event to automatically register employee attendance or flag the presence of blacklisted people, or no-go zone breaches.


Our AI-assisted cyber security system automatically protects IT assets from hackers, and guarantees their security. It works by observing user behavior and software performance, and provides security measures such as detecting threats, blocking bots, predicting breaches, protecting endpoints, immediate cyberattacks defense and analysis, and more. Another issue is that hackers change their tactics over time (phishing attacks, denial-of-service attacks, ransomware at a go, etc.), which is difficult for security experts to detect, but is easily picked up by AI algorithms.

Other safety & security applications

Other safety & security applications

  • Detecting bombs installed under vehicles (e.g. using high-resolution cameras to construct 3D images of suspected explosive devices)
  • Home security (e.g. using security cameras to detect suspicious activities or pet behaviors and notifying you of issues while you’re away)
  • Detecting infectious diseases (e.g. using biosensors to detect COVID-19 cases)
  • Military applications (e.g. investigating potentially life-threatening sites like building interiors, tunnels, caves, etc.)
  • Controlling borderlines (e.g. analyzing security camera or drone footages to detect suspicious objects/activities)
  • Lie Detection (e.g. intelligent computer vision can detect imperceptible signs such as facial micro-gestures to determine if a person is lying or telling the truth)
  • Detecting coastal oil and gas threats (e.g. utilizing real-time sensors to prevent security breaches and guarantee the longevity of equipment)