Security Solutions
1- Smart crowd management platform
Use Case Description:
The platform manages large crowds by analyzing captured videos in real-time using advanced computer vision models that monitor movements, recognize patterns, and detect abnormal behaviors. These models help identify crowd issues early, enabling organizers to respond before the problem worsens. This platform offers a distinctive approach to real-time crowd monitoring.
How it works:
Surveillance cameras are installed at key points such as entry gates, corridors, or exit routes, or in any area where congestion is expected. The platform monitors crowd density and accurately tracks individuals in crowded areas. In addition, the platform can detect suspicious activities or sudden increase in crowds, and when the platform notices any abnormality, it automatically issues an alert to take proactive action to avoid any potential disaster.
Benefits:
- Improve crowd management and reduce the risk of stampede.
- Enhanced safety at major events and crowded areas.
- Enable security teams to make quick decisions based on live data.
- Improve the attendees experience at major events with smart organization.
Target Audience:
Event organizers, security team leaders.
Techniques used
Computer Vision Techniques
2- A platform for predicting crime
Use Case Description:
A crime prediction platform is an AI-powered platform to analyze historical crime data, including temporal and spatial patterns, to predict the areas and times where crimes are likely to occur, enhancing the ability to prevent crimes before they occur.
How it works:
Data on past crimes is collected and analyzed using machine learning techniques, and then recurring patterns are identified. The platform relies on this data to predict where and when criminal activity may occur, helping to allocate security resources more effectively
Benefits:
- Improve prevention strategies and reduce potential crimes.
- Enabling security agencies to take proactive measures to address crime.
- Enhanced security in high-risk areas.
- Providing security resources more efficiently and focusedly.
Target Audience:
Security Centers
Techniques used
Predictive AI
3- A platform to identify suspicious behavior
Use Case Description:
An AI-based suspicious behavior detection platform to analyze surveillance videos and detect abnormal or suspicious behaviors in public places such as train stations, airports, and malls, with the aim of enhancing security and detecting illegal activities early.
How it works:
The platform captures the videos through surveillance cameras and then analyzes the captured videos using computer vision algorithms and artificial intelligence to analyze movement, activities, and interactions within the videos. The platform identifies suspicious or abnormal behaviors and issues instant alerts to security agencies.
Benefits:
- Improve the ability of security agencies to proactively monitor suspicious activities.
- Reduce the risk of accidents or crimes in public places.
- Enhanced security in locations with high density of visitors.
- Provide a quick response based on intelligent analysis of live data.
Target Audience:
Security companies, security centers.
Techniques used
Techniques used Computer Vision Techniques
4- A platform for identifying deformed vehicles
Use Case Description:
An artificial intelligence platform to identify deformed vehicles by analyzing the shape of vehicles and identifying deformed vehicles in real-time using surveillance cameras connected to wireless networks installed on the roads.
How it works:
The cameras installed on the roads take pictures of vehicles on the roads, and then the images are sent to the processing server that analyzes the captured images through computer vision technologies, detects the distorted vehicles and issues a report to the concerned authorities to take the necessary action.
Benefits:
- Promote public safety on the roads.
- Support security agencies and smart monitoring.
- Automate inspections and reduce costs.
Target Audience:
Traffic Departments, Vehicle Inspection Centers
Techniques used
Predictive AI
5- Smart Security Robot
Use Case Description:
A smart security robot is an AI-based robot to conduct security patrols in public places such as airports and malls, where it detects discarded luggage, identifies people, and monitors suspicious behaviors by conducting automatic patrols, the robot uses computer vision technologies to perform its functions.
How it works:
The intelligent security robot monitors sensitive areas such as airport lounges, train stations, or malls. The robot automatically moves according to its designated area, and uses a camera mounted to take photos and videos of the surrounding environment. These images and videos are sent to a processing server that uses computer vision technologies to analyze content, detect discarded luggage, identify people, or detect any suspicious behavior. If any security threat or abnormal situation is detected, the robot sends an instant alert to security teams to take the necessary action.
Benefits:
- Continuously and effectively enhancing security in public spaces.
- Reduce human intervention in routine tasks, enabling faster response to emergencies.
- Improve the efficiency of security monitoring and real-time behavior analysis.
- Providing a safer environment for residents and visitors through smart and scalable technologies.
Target Audience:
Security teams, airports, train stations, and commercial complexes.
Techniques used